new texas location medical imaging - spie · 2017-11-07 · covers the full range of medical...

PROGRAM CURRENT AS OF

15 OCTOBER 2017

MEDICAL IMAGINGTHE EVENT FOR THE ADVANCEMENT OF IMAGING TECHNOLOGIES

10–15 February 2018Marriott Marquis HoustonHouston, Texas, USA

www.spie.org/MI18program

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SPIE Medical Imaging 2018 • www.spie.org/MI18program • Program current as of 10/15/2017ii

CONNECTING MINDS. ADVANCING LIGHT.

MEDICAL IMAGING 2018

THE PREMIER EVENT FOR THE SCIENCE BEHIND MEDICAL IMAGING

10–15 February 2018 Marriott Marquis Houston • Houston, Texas, USA

One Week Many Opportunities

CUTTING-EDGE RESEARCH

WORLD-CLASS SPEAKERS

TRAINING AND EDUCATION

FOCUSED TECHNICAL TOPICS

REGISTER TODAY


NEW TEXASLOCATION

SPIE is the international society for optics and photonics, an educational not-for-profit organization founded in 1955 to advance light-based science, engineering, and technology. The Society serves nearly 264,000 constituents from 166 countries, offering conferences and their published proceedings, continuing education, books, journals, and the SPIE Digital Library in support of interdisciplinary information exchange, professional networking, and patent precedent. SPIE provided more than $4 million in support of education and outreach programs in 2016.

For more information, visit www.SPIE.org.

1Tel: +1 360 676 3290 • [email protected] • #SPIEMedicalImaging

Register Today: www.spie.org/MI18program

Marriott Marquis Houston Houston, Texas, USA

10–15 February 2018

Learn · Connect · Do Business

Everything you need to know about the meeting, the Marriott Marquis Houston,

and Houston is online• Up-to-date paper listings and session times

• Hotel, travel, and complete registration information

• Information on driving and parking during the meeting

• Schedule your week: MySchedule Tool and phone apps

• Information about local travel options

Reserve Hotel Rooms by: 18 JANUARY 2018.

Registration Rates Increase after: 26 JANUARY 2018

PROGRAM CURRENT AS OF: 15 October 2017

Conferences: Hear from 1,000 presentations on the latest advances in digital pathology; tomography; image processing; observer performance;

image-registration, -informatics, and -segmentation; computer-aided diagnosis; and ultrasound.

Plan to attend SPIE Medical Imaging—where the latest information is presented.

Conf. 10573 Physics of Medical Imaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Conf. 10574 Image Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Conf. 10575 Computer-Aided Diagnosis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Conf. 10576 Image-Guided Procedures, Robotic Interventions, and Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Conf. 10577 Image Perception, Observer Performance, and Technology Assessment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Conf. 10578 Biomedical Applications in Molecular, Structural, and Functional Imaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Conf. 10579 Imaging Informatics for Healthcare, Research, and Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Conf. 10580 Ultrasonic Imaging and Tomography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Conf. 10581 Digital Pathology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 Conferences

DAILY EVENT SCHEDULE . . . . . . . . . . . . . . . . . . . . . . . . . . 16-17

DAILY CONFERENCE SCHEDULE . . . . . . . . . . . . . . . . . 18-19

PROCEEDINGS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66

GENERAL INFORMATION . . . . . . . . . . . . . . . . . . . . . . . . . 73–75

Registration · Author/Presenter Information · Policies · Food and Beverage · Onsite Services · Parking and Car Rental

SPIE POLICIES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .76-77

Download the SPIE Conference App

Courses: Get focused, efficient training on current approaches in biomedical imaging and physics, imaging and CT, observer studies, photon counting,

and many more, that you can apply directly to your daily work. Register soon to ensure a spot.

9 Courses

SC1235 Deep Learning for Image Understanding (Wenzel, Meine) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70

SC086 Fundamentals of Medical Image Processing and Analysis (Deserno). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69

SC1239 Virtual Clinical Trials: An In-depth Tutorial (Maidment, Bakic, Barufaldi) . . . . . . . . . . . . . . . . . . . . . . . . . .71

SC1184 Methodology for Measuring Dynamic Functional Connectivity in Neuroimaging Data Analysis (Lei) . . . . 70

SC987 Spectral CT Imaging (Schmidt, Flohr, Grant) . . . . . . . . . . . 72

SC1183 Modern Diagnostic X-ray Sources (Behling) . . . . . . . . . . . 69

SC1129 Photon Counting CT (Danielsson, Sjölin) . . . . . . . . . . . . . . 69

SC1236 SimpleITK Jupyter Notebooks: Biomedical Image Analysis in Python (Johnson, Lowekamp, Yaniv) . . . . . . . .71

WS776 Writing for Publication (Hanson)1 . . . . . . . . . . . . . . . . . . . . 72

SPIE Medical Imaging 2018 • www.spie.org/MI18program • Program current as of 10/15/20172

Plenary and Keynote Sessions pages 5–9Don’t miss these world-class speakers discussing the latest directions and most promising breakthroughs.

Social + Networking Events pages 12Join your colleagues at these relaxed events, including the Student Dessert with the Experts and Women’s Networking Lunch, and an offsite facilities tour— events not to be missed!

Technical Events page 10–11Join your peers and colleagues in group discussions around focused technical topics, various workshops, live demos, and at the interactive poster sessions.

Awards + Student Information pages 14–15Participate in the following opportunities: RFW All-Conference Best Student Paper, Young Scientist Award, Student Paper Award, as well as information about Poster Awards.


Choose from 1,000 presentations on the latest advances in research The SPIE Medical Imaging conference is where the science of medical imaging is explored and presented. The event focuses on the latest innovations related to underlying fundamental scientific principles, technology developments, scientific evaluation, and clinical applications. The symposium covers the full range of medical imaging modalities including medical image acquisition, display, processing, analysis, perception, and decision support.

Hear from leading physicists, researchers, and scientists presenting the latest advances in image processing, perception, registration informatics, and segmentation, as well as digital pathology, tomography, computer-aided diagnosis, and ultrasound. Join your peers where collaboration brings ideas to life and technology to market. Hear the latest results, network with leaders in the field, and see the applications of the future. We look forward to seeing you in Houston!

Attend Medical Imaging at our Houston location and gain technical insights as well as networking time with peers and leaders from around the world.

COOPERATING ORGANIZATIONS AAPM—American Association of Physicists

in MedicineIFCARS—International Foundation for

Computer Assisted Radiology and SurgeryMIPS—Medical Image Perception SocietyRSNA—Radiological Society of North AmericaWMIS—World Molecular Imaging Society

EXPLORE THE ONLINE SCHEDULING TOOLSchedule your week online and register today


WHERE THE SCIENCE OF MEDICAL IMAGING IS EXPLORED AND PRESENTED,

1,000 PAPERS

9 COURSES

11 PLENARY AND KEYNOTE PRESENTATIONS

3 SPECIAL NETWORKING EVENTS

8 TECHNICAL WORKSHOPS, PANELS, AND DEMOS

9 CONFERENCES

Symposium Chairs:

Leonard Berliner Weill Cornell Medical College, and New York Presbyterian - Brooklyn Methodist Hospital (USA)

Ronald M. Summers National Institutes of Health(USA)

PROMOTIONAL PARTNERSArcher OpTx, Inc.Biophotonics, a Photonics Media PublicationMed Device Online

Awards and Plenary SessionDon’t miss these world-class speakers discussing the latest directions and most promising breakthroughs.

Monday 12 February 2017 • 4:00 to 5:30 pm • Location: Salon F

4:30 pm

PLENARY PRESENTATION

Multidisciplinary Computational Anatomy: Concept and Clinical Application

Makoto HashizumeGraduate School of Medical Sciences Kyushu University (Japan)Abstract: A new project, Multidisciplinary Computational Anatomy (MCA) has started in Japan in 2014. It is funded by MEXT Grant-in-Aid for Scientific Research on Innovative Areas. The project aims at understanding the dynam-ic, living human anatomy by integration of multidisciplinary information with medical images from different kinds of modalities. Emphasis is set to a theory establishment and base construction of the mathematical study foundation,

and to expand the range of the new clinical application system for making a correct decision in diagnosis and treatment. MCA-based medicine is one of the ideal solutions in the future medicine.

Biography: Dr. Makoto Hashizume graduated after Kyushu University School of Medicine in 1979. He is currently the director of Centre for Advanced Medical Innovation, and Chairman Professor, Department of Advanced Medical Initiatives, Graduate School of Medical Sciences, Kyushu Univer-sity. He was given the title of distinguished professor, Kyushu University in 2014.

4:00 pm

WELCOME AND NEW SPIE FELLOWS ACKNOWLEDGEMENTS

4:10 pm

BEST STUDENT PAPER AWARDS ANNOUNCEMENTThe first place winner and runner up of the Robert F. Wagner All-Conference Student Paper Award will be announced and conference finalists will be recognized.

Special Events • Keynote Presentations

IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENTConference 10577 • Paper Number 10577-1

Image Perception, Observer Performance, and Technology AssessmentSunday 11 February 2018 • 8:00 to 9:00 amLocation: Salon A

Richard B. GundermanIndiana Univ. (USA)

Abstract: Human beings are born with a remarkable visual apparatus, but even if all the parts – lens, ret-ina, optic nerve, and so on – are present in working order, seeing remains at least in large part a learned skill. This is reflected in the fact that some people

can see and understand things that others find meaningless or even fail to notice. One striking example is the radiology education of medical students and residents, who over the course of their training move from not knowing what they are looking at to quickly making complex diagnoses. In this session, we consider how seeing is learned and weigh the respective contributions of science, technology, and the arts in cultivating this remarkable human capacity.

Biography: Richard Gunderman is chancellor’s professor of radiology, pediatrics, medical education, philosophy, liberal arts, philanthropy, and medical humanities and health studies at Indiana University. The author of over 600 articles and 10 books, he has received the highest teaching awards of his medical school, Indiana University, and the Association of American Medical Colleges. His latest book is, We Come to Life with Those We Serve.

BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGINGConference 10578 • Paper Number 10578-6

Imaging Biomarkers in Precision Medicine Date: Sunday 11 February 2018 • 10:10 to 11:10 amLocation: Montrose

Martin PomperThe Johns Hopkins Univ. School of Medicine (USA)

Abstract: Approximately 20 years ago in vivo molec-ular imaging as a unique discipline coalesced around a variety of modalities used to answer specific biolog-ical questions. Now in the era of precision medicine imaging ascends to a new level of relevance. Precision

medicine leverages individual differences in genetics, environment and lifestyle to provide optimum care. While precision medicine is primarily thought of in genetic terms, providing information about whether an individual may harbor disease, precision imaging makes precision medicine actionable by uncovering the location of where disease may be present – or may soon be manifested. As molecularly targeted and precise therapies are increasingly adopted, imaging agents must follow suit by being equally precise to be useful in guiding management. In some cases existing imaging techniques and agents may not be up to the task of guiding emerging cancer therapies, as with anatomic imaging (CT or MR) for cytostatic therapeutics or standard molecular imaging (FDG-PET) for immunotherapy. Theranostic agents enable imaging and therapy concurrently, or in rapid succession, and are often precisely tar-geted. An array of precision imaging agents and theranostics is coming online to manage patients in new ways. In addition to providing a brief overview of imaging biomarkers for precision medicine, we will discuss specific examples – including theranostics – that are in the process of or will soon be clinically implemented for targeting prostate cancer and for reporting on immunotherapies. An important aspect of this work is that the agents provide sensitive, specific and quantitative information.

Biography: Martin Pomper is the Henry N. Wagner, Jr. Professor of Ra-diology and Director of the Division of Nuclear Medicine and Molecular Imaging at Johns Hopkins Medical School. He received undergraduate, graduate (organic chemistry) and medical degrees from the University of Illinois at Urbana-Champaign. Postgraduate medical training was at Johns Hopkins, including internship on the Osler Medical Service, residencies in diagnostic radiology and nuclear medicine and a fellow-ship in neuroradiology. He is board-certified in diagnostic radiology and nuclear medicine. He has been on the Radiology faculty at Johns Hopkins since 1995, with several other joint appointments. His interests are in the development of new radiopharmaceuticals, optical probes and techniques for molecular imaging and therapy of cancer, central nervous system disease and other disorders. He is a member of the National Academy of Inventors and the National Academy of Medicine.

DIGITAL PATHOLOGYConference 10581 • Paper Number 10581-12

Advancing Cancer Diagnostics with Deep Learning Sunday 11 February 2018 • 1:20 to 2:20 pmLocation: River Oaks

Martin StumpeGoogle Research (United States)

Abstract: Rendering cancer diagnoses from biopsy slides involves challenging tasks for pathologists, such as detecting micro metastases in tissue biop-sies, or distinguishing tumors from benign tissue that can look deceivingly similar. These tasks are

typically very difficult for humans, and, consequently, over- and un-der-diagnoses are not uncommon, resulting in non-optimal treatment. Algorithmic approaches for pathology, on the other hand, face their own set of challenges in the form of gigapixel images, proprietary data formats, and low availability of digitized images let alone high quality labels. However, advances in deep learning, access to cloud based storage, and the recent FDA approval of the first whole slide image scanner for primary diagnosis now set the stage for a new era of digital pathology. This talk will discuss the potential of deep learning to improve the accuracy and availability of cancer diagnostics, and highlight some recent advances towards that goal.

Biography: Martin Stumpe leads the Pathology project at Google Research. Before that, he worked on Google Street View for automat-ically building maps using machine learning. Prior to joining Google, Martin worked on NASA’s Kepler Mission to detect extrasolar planets, and started a business with a computer vision tracking software, AnTracks. His background is in Physics, in which he graduated with a PhD at the Max-Planck-Institute in Goettingen, Germany, researching the molecular mechanisms of protein folding and stability, a topic that he continued during his postdoc research at Stanford University.



MAGE PROCESSINGConference 10574 • Paper Number 10574-28

From Image Processing and 3D Computer Vision to Computational Brain Imaging: A Journey through Modelling and Geometry Monday 12 February 2018 • 10:10 to 11:10 amLocation: Salon B

Rachid DericheINRIA Sophia Antipolis - Méditerranée (France)

Abstract: This talk is an invitation to a journey through Modelling and Geometry in the domains I contrib-uted over the last few decades, in mathematical imaging, 3D computer vision and more recently in computational neuroimaging. The role and power

of Modelling and Geometry are emphasized by presenting poweful Euclidean, Differential, Projective and Riemannian based algorithms for processing 2D and multi-valued images, building 3D models from 2D images and reconstructing brain structural connectivity from diffusion Magnetic Resonance Imaging.

Variational methods and geometric flows developed in image process-ing and computer vision for curves and surfaces will first be presented including methods of image regularization through Partial Differential Equations as well as methods of active image segmentation imple-mented via the level-set technique. Applied to brain images produced in vivo and non-invasively by diffusion MRI, the tools and algorithms presented open the possibility of recovering a detailed geometric description of the structural connectivity between brain areas. Var-ious applications to computational brain imaging will be presented and discussed with a particular emphasize on the importance of the Riemannian geometry in the estimation, regularization and segmen-tation of diffusion images as well as the tracking, the reconstruction and the clustering of the bundles of white matter fibers. High Angular Resolution Diffusion Imaging (HARDI) models will also be presented to go beyond the classical Diffusion Tensor Model in diffusion MRI.

Overall, various geometry and model based algorithms will be shown to emphasize the role and power of modelling and geometry to process multi-valued and complex images and infer and recover more detailed analysis, reconstruction and geometric description. The talk will be supported by multiple videos related to the presented problems and applications.

Biography: Dr. Rachid Deriche is a Research Director and chair the Athena Lab. at Inria Sophia Antipolis-Méditerranée (France).

His research concentrated on Mathematical Image Processing before to shift to 3D Computer Vision and more recently to Computational Neuroimaging, with a particular emphasis on the processing of brain connectivities through diffusion MRI, MEG and EEG and the development of pioneering algorithms for their analysis and clinical application.

Dr Deriche has authored and co-authored more than 250 peer re-viewed papers including over 60 journals, with more than 23.000 Google citations and an h-index of 69.

Dr. Deriche has been awarded the French Academy of Sciences Grand Prize of the EADS Foundation in Computer Science (2013), the Doctorate Honoris Causa by Sherbrooke University (2014) and the prestigious European Research Council (ERC) Advanced Grant (2016) for his research project on Computational Brain Connectivity Mapping.


INTERESTED IN SPONSORING AN EVENT OR ADVERTISING?Contact Al Ragan, +1 360 685 5539 · Fax: +1 360 647 1445 or [email protected]

www.spie.org/mi18sponsor

SPIE Medical Imaging conference sponsorships provide a unique opportunity to interact with the leading professionals in the field as well as job recruitment of the best and brightest young minds before, during, and after the event.

Conference Sponsorship Opportunities

PLENARY SPONSORSHIP PACKAGE – $5,000 (Exclusive)Excellent branding opportunity to reach 1200 leading professionals in the medical imaging industry.

CAREER RECRUITMENT SPONSORSHIP PACKAGE – $2,250 (3 Available)Reach over 400 of the best and brightest young minds in the medical imaging field.

PROMOTIONAL TABLE DISPLAY – $1,900 (4 Available)Promotional Sponsor Table located in high-traffic area during peak three days of meeting (Monday - Wednesday)

CONFERENCE SPONSORSHIPS - $1,250 (EACH)

EVENT SPECIFIC SPONSORSHIPSPoster Sessions $1,250 (Exclusive each day)WiFi $975 (Exclusive)Conference Bags $500 (Exclusive)Conference Lanyards $500 (Exclusive)

ADVERTISING OPPORTUNITIESPrint and Web Ads


PHYSICS OF MEDICAL IMAGING CONFERENCEConference 10573 • Paper Number 10573-30

Clinical Applications of Optical Imaging Techniques in the Breast Tuesday 13 February 2018 • 1:20 to 2:20 pmLocation: Salon C

Wei T. YangMD Anderson Cancer Ctr. (USA)

Abstract: CONFOCAL FLUORESCENCE MICROSCO-PY (CFM): fresh human breast tumors, invasive tumor cellularity from core biopsy specimens, adipocytes in the tumor microenvironment associated with invasive and in-situ ductal cancer, comparison with

histopathology for cancer diagnosis and staging, and in the automated assessment of breast tissue using nuclear and ductal parameters.

DIFFUSE OPTICAL SPECTROSCOPIC IMAGING (DOSI): This discussion will describe DOSI as a non-invasive functional imaging modality that employs infrared light to measure breast tissue concentrations of oxygenated hemoglobin, deoxygenated hemoglobin, water, and lipid. Correlation between baseline oxygen saturation and breast cancer re-sponse to neoadjuvant chemotherapy are explored. Preliminary results employing a hand-held probe for obtaining optical measurements of oxygen saturation in patients with varying tumor sizes, depths, and biologic subtypes undergoing neoadjuvant chemotherapy in a single center and multi-center setting are presented.

Biography: Dr. Wei Tse Yang, MBBS, FRCR is Professor and Chairman of the Department of Diagnostic Radiology and Robert D. Moreton Distinguished Chair in Diagnostic Radiology at the University of Texas MD Anderson Cancer Center. She is Director of the Quantitative Image Analysis Core (QIAC) and the Imaging Response Assessment Team (IRAT) and is on the executive steering committee for the Center for Advanced Biomedical Imaging (CABI) at MD Anderson. Dr. Yang championed the technique of Targeted Axillary Dissection (TAD), which ensures a false negative rate of less than 5 percent for SLND post NAC in breast cancer patients. She has authored more than 170 peer-reviewed articles along with co-authoring a textbook on breast imaging.

COMPUTER-AIDED DIAGNOSISConference 10575 • Paper Number 10575-35

Crowdsourcing Biomedical Research: Leveraging Communities as Innovation Engines Wednesday 14 February 2018 • 8:00 to 9:00 amLocation: Hunters Creek

Gustavo A. StolovitzkyIBM Thomas J. Watson Research Ctr. (USA) and Icahn School of Medicine at Mount Sinai (USA)

Abstract: The generation of large-scale biomedical data is creating unprecedented opportunities for basic and translational science. Typically, the data producers perform initial analyses, but it is very

likely that the most informative methods may reside with other groups. Crowdsourcing the analysis of complex and massive data has emerged as a framework to find robust methodologies. When the crowdsourcing is done in the form of scientific competitions, known as Challenges, the validation of the methods is automatically addressed. Challenges also encourage open innovation, create collaborative communities to solve diverse and important biomedical problems and foster the creation and dissemination of well-curated data repositories.

In this talk I will discuss the scientific, methodological and social lessons learnt in the close to 50 DREAM Challenges (www.dreamchallenges.org) run to date, and in particular, I will highlight the recent Digital Mammorgraphy DREAM Challenge. In it, we challenged more than 1,200 registered participants to determine the cancer status of each breast of a subject, given a screening exam, a panel of clinical/demographic information, and if available, previous screening exam(s). The challenge gave access to more than 640,000 de-identified digital mammography images, corresponding to 146,000 mammography exams of 86,000 women, including demographic, clinical and longitudinal data. The community achieved excellent results (AUC of 0.87 in an independent validation set), reaching specificities and sensitivities that start to be competitive with the accuracy of radiologists in the clinic.

Biography: Dr. Gustavo Stolovitzky is the Director of the Translational Systems Biology and Nano-Biotechnology Program at IBM Research, and an adjunct Professor at the Icahn School of Medicine at Mount Sinai. Dr. Stolovitzky is a recognized leader in the field of systems biology, where he has pioneered the use of crowdsourcing as a tool for scientific research and of the Wisdom of Crowds as a robust methodology for predictive modeling. He is the founder and Chair of the DREAM Chal-lenges, has organized more than 50 scientific Challenges, published over 150 papers and has more than 50 issued patents.


IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELINGConference 10576 • Paper Number 10576-7

Review of Interventional and Point-of-Caring Imaging Tuesday 13 February 2018 • 10:10 to 11:10 am Location: Salon A

Cameron Pironsynaptive Medical (Canada)

Abstract: As a serial entrepreneur and the president of Synaptive Medical, a company dedicated to de-veloping technologies with an impact to change the standard of care in neurosurgery, Cameron has solid knowledge and expertise in understanding rules of

the road for medtech-based entrepreneurship. In this lecture, Cameron shares insights on key strategic trends, changing dynamics in the medi-cal devices industry and a discussion of the importance of new imaging technology in this expanding field. The lecture describes technology trends in this field, specifically the expanding use of optical imaging and magnetic resonance imaging to gather quantitative information at specific points-of-care in the patient care cycle.

Biography: Cameron Piron is an industry-recognized leader and innovator in image-guided surgery. Prior to co-founding Synaptive Medical, Cameron was president and co-founder of Sentinelle Medical, a medical device company that developed and manufactured advanced MRI-based breast imaging technologies. Sentinelle grew to over 200 employees and over $20 million in revenues before being acquired by Hologic, Inc. in 2010. Cameron studied systems design engineering at the University of Waterloo, followed by a graduate degree at the University of Toronto in medical biophysics. His awards include the Ontario Premier’s Catalyst Award for Best Young Innovator in 2008; the University of Waterloo’s Alumni Achievement medal in 2009 for leading Sentinelle Medical in researching and manufacturing leading-edge MRI technologies that allow physicians to diagnose breast cancer and other medical conditions faster and more accurately; being named to Cana-da’s Top 40 Under 40™ list in 2009, which was established by Caldwell Partners and celebrates the achievements of young Canadians in the private, public and non-profit sectors; and being the first Canadian ever to win R&D Magazine’s Innovator of the Year award in 2008. In 2015, Cameron was named one of Fast Company’s Most Creative People. He is a member of Synaptive’s Board of Directors and heads the company’s executive committee.


IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONSConference 10579 * Paper Number 10579-23

Will Computers Replace Radiologists for Primary Reads in 20 Years: A Debate Thursday 15 February 2018 • 8:00 to 9:00 amLocation: Salon B

Eliot L. SiegelUniversity of Maryland Medical Center (USA)

Bradley J. EricksonMayo Clinic (USA)

Biography: Dr. Eliot Siegel is Professor and Vice Chair at the University of Maryland School of Medicine, Department of Diagnostic Radiology, as well as Chief of Radiology and Nuclear Medicine for the Veterans Affairs Maryland Healthcare System. He is the director of the Maryland Imaging Research Technologies Laboratory and has adjunct appoint-ments as Professor of Bioengineering at the University of Maryland College Park and as Professor of Computer Science at the University of Maryland Baltimore County. Dr. Siegel was responsible for the NCI’s National Cancer Image Archive and served as Workspace Lead of the National Cancer Institute’s caBIG In Vivo Imaging Workspace. He has been named as Radiology Researcher and Radiology Educator of the year by his peers as well as one of the Top Ten radiologists. Under his leadership, the VA Maryland Healthcare System became the first filmless healthcare enterprise in the world. He has written over 200 articles and book chapters about PACS (Picture Archiving and Communication Systems) and digital imaging, and has edited six books on the topic, including Filmless Radiology and Security Issues in the Digital Medical Enterprise. He has made more than 1,000 presentations throughout the world on a broad range of topics involving computer applications in imaging and medicine. Dr. Siegel served as symposium chairman for the Society of Photo-optical and Instrumentation Engineers (SPIE) Medical Imaging Meeting for three years, and is currently serving on the board of directors of the Society of Computer Applications in Radiology. He is a fellow of the American College of Radiology and of the Society of Imaging Informatics in Medicine.

Biography: Dr. Erickson received his MD and PhD degrees from Mayo Medical & Graduate Schools and then did his residency in diagnostic radiology and Neuroradiology fellowship at Mayo Clinic. He went on staff at Mayo Clinic, and was heavily involved in administrative respon-sibilities implementing a filmless department and then a paperless practice and EMR, including being the Vice Chair for IT at Mayo. More recently, he has refocused on imaging informatics research, receiving NIH grants for brain cancer, multiple sclerosis, and polycystic kidney disease. He is particularly focused on the application of deep learning to medical images, which is the emerging field of radiogenomics. He was the founding Chair of the Division of Imaging Informatics, and is currently the Associate Chair for Research in Radiology.

Abstract: Recent advances in machine learning have enabled computers to perform many image-based tasks at a level that exceeds human level performance. This has led several machine learning experts to conclude that computers will replace radiologists in the near future. In this debate, the various aspects of replacing humans with machine learning systems will be explored, including the technical advances and challenges, how these advances have been applied in radiology, regulatory issues, and human issues.

ULTRASONIC IMAGING AND TOMOGRAPHYConference 10580 • Paper Number 10580-28

Real-time Imaging Feedback for Histotripsy: Non-invasive Ultrasound Cavitational Therapy Thursday 15 February 2018 • 10:10 to 11:10 amLocation: Hunters Creek

Zhen XuUniv. of Michigan (USA)

Abstract: Histotripsy is a non-invasive, non-ionizing, non-thermal, ultrasound ablation technique based on acoustic cavitation. Using microsecond-length, high-pressure ultrasound pulses applied from outside the body and focused into the target tissue, a cloud

of microbubbles (bubble cloud) is generated from the endogenous nanometer gas nuclei in the target tissue. These nanometer gas nuclei rapidly expand to the order of 10-100 microns in several microseconds followed by collapse, which produce high strain on surrounding cells and disrupt the cells within the targeted region to a liquid-appearing acellular homogenate. The overlying tissue between the target tissue and the skin is not damaged and no incision is needed. Histotripsy is not thermal based and not impacted by the heat sink effect, thus has the potential to overcome the limitations associated with current ablation technologies that are thermal based. Histotripsy is being investigated for treatment of cancer, vascular diseases, and neurological diseases. Histotripsy treatment is guided by real-time imaging feedback. This talk will cover the various methods of real-time imaging feedback to guide the histotripsy treatment, including ultrasound imaging, acoustic cavitation emission, and MRI .

Biography: Zhen Xu is an Associate Professor and Graduate Chair of the Department of Biomedical Engineering at the University of Michigan. She is also an associate editor for IEEE Transactions on Ultrasound, Ferroelectrics, and Frequency Control (UFFC), WIE chair for IEEE UFFC, and board member of ISTU. Her research is focusing on ultrasound therapy, particularly the applications of histotripsy for noninvasive surgeries. She has received multiple awards, including the IEEE UFFC Outstanding Paper Award and Federic Lizzi Early Career Award from The International Society of Therapeutic Ultrasound (ISTU).


Special Events • Technical Events

Sunday/Monday Poster SessionMonday 12 February 2018 • 5:30 to 7:00 pm • Salon E

Poster authors are required to:

• Display the poster early on the first day of your session

• Attend the Poster Session to answer questions.

See Poster Presentation Guidelines for additional information.

SUNDAY/MONDAY POSTER SESSIONPoster presentations from the Image Processing; Image Perception, Observer Performance, and Technology Assessment; Biomedical Applications in Molecular, Structural, and Functional Imaging; and Digital Pathology conferences will be included.

Author Set-Up Time: Sunday after 12:00 pm (noon) Posters should remain on display until the end of the Poster Session on Monday.

Poster Session and Reception: Monday from 5:30 to 7:00 pm

NOTE: Extended poster viewing until 9:00 pm on Sunday.

Poster award winners will be recognized and certificates distributed in the conference meeting rooms. Check conference schedules for times and locations. Ribbons will identify winning posters during the Poster Sessions.

Advances in Image-Guided Procedures: A Multi-Disciplinary Joint ForumTuesday 13 February 2018 • 3:30 to 5:00 pm Location: Salon A Advances in image guidance and therapeutic approach have pro-foundly shaped the state of the art in medical intervention - from image-guided radiation therapy (IGRT) and surgery (IGS) to the interventional radiology (IR) suite. Key to these advances have been multidisciplinary translational research of physicists, biomed-ical engineers, and computer scientists working with surgeons, radiologists, and oncologists to bring new technologies to bear in emerging therapeutic approaches.

This Special Session features invited speakers with presentations and panel discussion on recent advances and emerging methods in the decade ahead.

The Special Session offers a joint forum for SPIEconference attendees and clinicians from the UT MD Anderson Cancer Center.

Join your peers and colleagues in group discussions around focused technical topics, various workshops, live demos, and at the interactive poster sessions.

• FREE • OPEN TO ALL CONFERENCE ATTENDEES

PROSTATEx Lessons Learned and 2019 ChallengeTuesday 13 February 2018 • 3:30 to 5:00 pmLocation: Hunters Creek

This panel presentations will discuss the design, results and challenges found in running the 2017 PROSTATEx (SPIE Medical Imaging 2017) and PROSTATEx-2 (2017 AAPM Annual meeting) Challenges. Panelists will provide an introduction and overview of previous SPIE-AAPM-NCI Challenges include a description of the PROSTATEx and PROSTAEx-2 Challenges. A panelist will then provide a discussion of infrastructure and logistical issues/obstacles found while conducting these latest PROSTATEx Challenges. Finally, a panelist will provide an overview of the proposed 2019 SPIE Medical Imaging Joint CAD/Pathology Challenge. This will be followed by a Q & A session with the audience where audience members can ask thought provoking question of the panel. New ideas for future challenges and available dataset could also be part of this discussion along with the role Challenges play in moving the CAD field forward.

TECHNICAL WORKSHOP/LIVE DEMONSTRATIONS

Live DemonstrationsTuesday 13 February 2018 • 5:00 to 7:00 pmLocation: Salon D/E

WK 1 TECHNICAL WORKSHOP: COMPUTER-AIDED DIAGNOSIS (CONFERENCE 10575) WORKSHOP CHAIRS:

Dr. Heang-Ping Chan, Univ. of Michigan Health System, (USA)

Dr. Horst Hahn, Fraunhofer MEVIS, (Germany)

The goal of this workshop is to provide a forum for systems and algorithms developers to show off their creations. The intent is for the audience to be inspired to conduct derivative research, for the demonstrators to receive feedback and find new collaborators, and for all to learn about the rapidly evolving field of medical imaging.

The Live Demonstration Workshop will be held as part of the 2017 SPIE Medical Imaging Conference on Tuesday, 13 February 2018 from 5:00 pm to 7:00 pm.

The Live Demonstration Workshop invites participation from all of the conferences that comprise the SPIE Medical Imaging Conference. We encourage the CAD, Digital Pathology, Image Processing, Imaging In-formatics, Perception, Physics, and all other conferences to participate.


Special Events • Keynote PresentationsThis workshop features interactive demonstrations that are comple-mentary to the topics of SPIE Medical Imaging. Workshop demon-strations include samples, systems, and software demonstrations that depict the implementation, operation, and utility of cutting-edge as well as mature research. Having an accepted SPIE Medical Imaging paper is not required for giving a Live Demonstration; however, authors of SPIE Medical Imaging papers are encouraged to submit demonstra-tions that are complimentary to their oral and poster presentations.

The session will include a Certificate of Merit Award presented to one demonstration considered to be of exceptional interest. We invite all workshop visitors to vote for three of their favorite demonstrations, with the final winner chosen from the top scorers by a group of ap-pointed judges.

WORKSHOP:

Selected Papers from the Journal of Medical Imaging Special IssueTuesday 13 February 2018 • 5:00 to 7:00 pmLocation: Salon A

WK 2 TECHNICAL WORKSHOP: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING (CONFERENCE 10576) As part of the exciting translational fields in image-guided procedures, robotic interventions and modeling, the scientific committee of the SPIE Medical Imaging conference proposed a special issue to be dedicated to this area in the Journal of Medical Imaging. Authors of accepted papers were invited to SPIE Medical Imaging 2018 to present at the meeting and contribute to a review of their accepted paper to the proceedings. Some selected papers were chosen to provide oral presentations in this cutting-edge workshop. Accepted papers that did not get presented at the workshop will be asked to present at the poster session.

19TH SPIE/IFCARS JOINT WORKSHOP

Digital Operating Room: Clinical Applications of Multidisciplinary Computational AnatomyTuesday 13 February 2018 • 5:00 to 7:00 pmLocation: Hunters Creek

WK 4 COMPUTER-AIDED DIAGNOSIS AND IMAGING INFROMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS WORKSHOP CHAIR:

Leonard Berliner, New York Presbyterian - Brooklyn Methodist Hospital, (USA)

PANELISTS/SPEAKERS:

Heinz Lemke, International Foundation for Computer Assisted Radiology and Surgery, (Germany)

Makoto Hashizume, Kyushu University (Japan)

Hiroyuki Yoshida, Massachusetts General Hospital (USA)

Ron Schilling, EchoPixel, Inc. (USA)

Brent Liu, University of Southern California (USA)

This workshop will present clinical scenarios demonstrating practical applications of Multidisciplinary Computational Anatomy. The role of Medical Imaging, Computer Aided Diagnosis, and Computational Anatomy in presurgical planning will be emphasized. Integration with the Operating Room through PACS and displays will be discussed. Ample time for open discussion with the audience will be provided.

Tuesday/Wednesday Poster SessionWednesday 14 February 2018 • 5:30 to 7:00 pm • Salon E





TUESDAY/WEDNESDAY POSTER SESSIONPoster presentations from the Physics of Medical Imaging; Comput-er-Aided Diagnosis; Image-guided Procedures, Robotic Interventions, and Modeling; Imaging Informatics for Healthcare, Research, and Applications; and Ultrasonic Imaging and Tomography conferences will be included.

Author Set-Up Time: Tuesday after 9:30 am Posters should remain on display until the end of the Poster Session on Wednesday.

Poster Session and Reception: Wednesday from 5:30 to 7:00 pm

NOTE: Extended poster viewing until 9:00 pm on Tuesday.

Poster award winners will be recognized and certificates distributed in the conference meeting rooms. Check conference schedules for times and locations. Ribbons will identify winning posters during the Poster Sessions.

WORKSHOP/PANEL DISCUSSION

Ultrasound Computed Tomography Data ChallengeTuesday 14 February 2017 • 5:30 to 7:30 pmLocation: Montrose

WK 5 ULTRASONIC IMAGING AND TOMOGRAPHY (CONFERENCE 10580)

Nicole V. RuiterKarlsruhe Institute of Technology (Germany)

This challenge aims at closing this gap within the US(C)T community by combining available imaging algorithms with the data of various USCT devices. Our long term goal is to build up a reference da-tabase and to establish data format and software

interfaces to enable simplified academic exchange to drive further development. This challenge aims on applying available image re-construction algorithms on provided USCT data in order to establish a first interface specification.

Participants will be invited to be part of a panel discussion in order to discuss their experience and possible future steps towards objectively evaluate and compare USCT reconstruction algorithms and imaging protocols.


Join your colleagues at various events, including the Student Dessert with the Experts, Women’s Networking Lunch, and an offsite facilities tour—events not to be missed!

Special Events • Social and Networking Events • NOTE • SOME EVENTS

REQUIRE TICKETS AND REGISTRATION.

SEE INDIVIDUAL EVENTS FOR DETAILS.

Women’s Networking LunchMonday 12 February 2018 • 12:10 to 1:20 pmLocation: KingwoodLunch ticket required

Join other women in the field for informal discussions and networking during the scheduled lunch on Monday.

Sign up at registration required before morning coffee break on Monday.

Univ. of Texas MD Anderson Image-Guided Cancer Therapy Facilities Reception and Tour (CONFERENCE 10576)Monday 12 February 2018 • 5:45 to 9:00 pm

Tour tickets are available at the SPIE registration desk. Tickets are complimentary and are first come, first served. Seating is limited.

Join your colleagues on a guided tour of the MD Anderson image-guid-ed cancer therapy facilities, including an MR-LINAC and CT-guided interventional suites. Get a first-hand look at how advances have shaped the treatment and outcomes of various cancers.

Bus transportation provided by MD Anderson. Departing the Marriott Marquis at 5:45 pm, returning by 9:00 pm - must have ticket to board.

Dessert with the Experts– A Student Networking EventMonday 12 February 2018 • 6:30 to 7:30 pmLocation: KingwoodOpen to student conference attendees. First come, first served.

Enjoy a tasty dessert and casual atmosphere while networking with some of the best and brightest minds in medical imaging. Exchange ideas, share experiences, and make valuable contacts at this compli-mentary student event.


MEDICAL IMAGING FOR DETECTION, DIAGNOSTICS, AND THERAPY OF DISEASE

www.spie.org/jmi

Special Events • Award Events2018 Poster Award InformationMonday 12 February 2018 • 8:00 to 8:30 am

POSTER AWARDS IN CONFERENCE ROOMS

Check the conference schedule for exact times.

RFW AWARD FINALISTS: Robert F. Wagner (RFW) Award finalists will be recognized and cer-tificates distributed in the conference meeting rooms. See conference schedules for times and locations.

POSTER AWARDS: Each conference will recognize selected poster presentations of ex-ceptional quality at either the Cum Laude or Honorable Mention level. Winners will be chosen by members of conference review committees.

The winning posters will be identified during the receptions with award ribbons. Winners will be recognized and certificates distributed in the conference meeting rooms. See conference schedules for times and locations.

In addition, cum laude poster award recipients will be recognized in the Proceedings of SPIE volumes and the following year’s Call for Papers.

RECOGNITION LEVELS: Each conference will recognize 1 selected poster at the Cum Laude level and 1 selected poster at the Honorable Mention level for the quality of work presented as well as the presentation.

BASIS FOR SELECTION:Work should be of a standard of excellence as judged by the quality and quantity of results presented. It should include results that are both significant and new to the field of study. Conclusions should be well supported by the results, and relevant references should be cited.

Presentation should be well organized, clear, and concise. It should be self-contained, giving adequate background, concise results, and relevant references. Graphic design will be considered only to the extent that it contributes to the clarity of presentation.

A conference may give preference to first authors who are students or who are within five years of their terminal degrees.

Robert F. Wagner All-Conference Best Student Paper AwardMonday 12 February 2018 • 4:00 to 4:15 pm Location: Salon F

The Robert F. Wagner All Conference Best Student Paper Award (established 2014) is acknowledgement of his many important con-tributions to the Medical Imaging meeting and his many important advances in the field of medical imaging.

CO-SPONSORED BY:

Contributions by the Medical Imaging Community

Deadline for full conference manuscript and academic advisor let-ter is 4-December 2017. A first place winner and runner up will be recognized with a cash prize ($1000 and $500 respectively) and a certificate during the Plenary Session at the meeting.

Robert F. Wagner Award Finalists will be recognized with certificates in their respective conference meeting rooms during the Awards Sessions. See conference schedules for times and locations.

ELIGIBILITY REQUIREMENTS

Applicant must:• be a student without a doctoral degree• be the principal author of the paper in the current program• be selected by the Review Committee

TO APPLY

Submit the following by 4 December 2017. Late submissions will not be accepted:• Full manuscript formatted according to manuscript guidelines

via the SPIE Submission System• Include “RFW Award” in Step 1 of the SPIE Submission System.• Academic advisor letter stating that the principal contribution

to the work described was made by the student. Email to the Conference Programs Coordinator ([email protected])

• Include “RFW Award” and the paper number in the subject line of your email.


Special Events • Award EventsPhysics of Medical Imaging Student Paper and Poster Awards(CONFERENCE 10573)Thursday 15 February 2018 • 9:40 to 9:45 amLocation: Salon A

This award is specific to papers in the Physics of Medical Imaging conference 10573. The student paper award is a prize awarded to the first authors of high quality papers within the Physics of Medical Imaging conference.

SPONSORED BY

Deadline for full conference manuscript and academic advisor letter is 4 December 2017. The winner and runner up will be notified in late January and presented with their awards at the conference.


Applicant must:• be a student without a doctoral degree• the first author of a paper in the current program• submit no later than 4 December 2017.

A letter from the author’s academic advisor attesting to their status as a student is required. Submitted manuscripts will be peer reviewed and judged both on their scientific merit and clinical relevance.

TO APPLY • Submit the following by 4 December 2017. Late submissions will

not be accepted:• Full manuscript formatted according to manuscript guidelines

via the SPIE Submission System• Include “10573 Student Paper Award” in Step 1 of the SPIE

Submission System• Academic Advisor Letter. Email to the Conference Programs

Coordinator ([email protected])• Include “10573 Student Paper Award” and paper number in

the subject line of your email.

The award winners will be recognized in the conference room on Thursday morning before the coffee break.

Physics of Medical Imaging Poster Presentation AwardsThe Physics of Medical Imaging conference will offer cash prizes as part of the poster presentation awards. Poster presentations must be displayed early on the first day of the Tuesday/Wednesday poster session to enter the competition. The space will be available to dis-play posters beginning at noon on Tuesday. Award announcements will take place in the conference room before morning coffee break on Thursday.

SPONSORED BY

Image-Guided Procedures, Robotic Interventions, and Modeling Awards(CONFERENCE 10576)Thursday 15 February 2018 • 3:00 to 3:05 pmLocation: Salon A

YOUNG SCIENTIST AWARDThis award is specific to papers in the Image-Guided Procedures, Robotic Interventions, and Modeling conference 10576.

The Young Scientist Award is a prize awarded to the first authors of high quality papers within the Image-Guided Procedures, Robotic Interventions, and Modeling conference.

SPONSORED BY

Deadline for full conference manuscript and Letter of Support is 4 December 2017. The winner and runner up will be notified in late January and presented with their awards at the conference.


Applicant must:• be the first author of a paper in the current program• and an early career scientist• submit no later than 4 December 2017.

A Letter of Support from the author’s supervisor is required. Submitted manuscripts will be peer reviewed and judged both on their scientific merit and clinical relevance.

TO APPLY • Submit the following by 4 December 2017. Late submissions will

not be accepted:• Full manuscript formatted according to manuscript guidelines

via the SPIE Submission System• Include “Young Scientist Award” in Step 1 of the SPIE Submission

System• Letter of Support from author’s supervisor. Email to the

Conference Programs Coordinator [email protected]• Include “Young Scientist Award” and paper number in the

subject line of your email.

The award winners will be recognized on Thursday afternoon before the coffee break.

Poster Presentation AwardsThe Image-Guided Procedures, Robotic Interventions, and Modeling conference will offer cash prizes as part of the poster presentation awards. Poster presentations must be displayed early on the first day of the Tuesday/Wednesday poster session to enter the competition. The space will be available to display posters beginning at noon on Tuesday. Award announcements will take place in the conference room before afternoon coffee break on Thursday.

SPONSORED BY



SATURDAY 10 February

SUNDAY 11 February

MONDAY 12 February

TUESDAY 13 February

WEDNESDAY 14 February

THURSDAY 15 February

SC1235 Deep Learning for Image NEW

Understanding (Wenzel, Meine) 8:30 am to 5:30 pm, p.70

KEYNOTE PRESENTATION: Image Perception, Observer Performance, and Technology Assessment • Conf. 10577, Richard B. Gunderman, 8:00 to 9:00 am, p.6

CONFERENCE 10573: Physics of Medical ImagingChairs: Joseph Y. Lo, Duke Univ. Medical Ctr. (USA), Taly Gilat Schmidt, Marquette Univ. (USA), and Guang-Hong Chen, Univ. of Wisconsin-Madison (USA)

SC086 Fundamentals of Medical Image Processing and Analysis (Deserno) 8:30 am to 5:30 pm, p.69

CONFERENCE 10574: Image ProcessingChairs: Elsa D. Angelini, Imperial College London (United Kingdom), Télécom ParisTech (France) and Bennett A. Landman, Vanderbilt Univ. (USA)

Register by26 January 2018 and Save

SC1239 Virtual Clinical Trials: An NEW

In-depth Tutorial (Maidment, Bakic, Barufaldi) 8:30 am to 12:30 pm, p.71

SC1184 Methodology for Measuring Dynamic Functional Connectivity in Neuroimaging Data Analysis (Lei) 8:30 am to 12:30 pm, p.70

CONFERENCE 10575: Computer-Aided Diagnosis Chairs: Nicholas Petrick, U.S. Food and Drug Administration (USA) and Kensaku Mori, Nagoya Univ. (Japan

WS776 Writing for Publication (Hanson) 1:30 pm to 5:30 pm, p.72

SC987 Spectral CT Imaging (Schmidt, Flohr, Grant) 8:30 am to 12:30 pm, p.72

CONFERENCE 10576: Image-Guided Procedures, Robotic Interventions, and ModelingChairs: Baowei Fei, Emory Univ. (USA) and Robert J. Webster, Vanderbilt Univ. (USA)

Maximize your visibility to the medical imaging community; secure a sponsorship for SPIE Medical Imaging 2018. Contact SPIE Sales: [email protected]

CONFERENCE 10577: Image Perception, Observer Performance, and Technology AssessmentChairs: Robert M. Nishikawa, Univ. of Pittsburgh (USA) and Frank W. Samuelson, U.S. Food and Drug Administration (USA)

CONFERENCE 10579: Imaging Informatics for Healthcare, Research, and ApplicationsChairs: Jianguo Zhang, Shanghai Institute of Technical Physics (China) and Po-Hao Chen, The Univ. of Pennsylvania Health System (USA)

CONFERENCE 10578: Biomedical Applications in Molecular, Structural, and Functional ImagingChairs: Andrzej Krol, SUNY Upstate Medical Univ. (USA) and Barjor Gimi, Geisel School of Medicine at Dartmouth (USA)

Student Paper Awards 2017For submission requirements see Awards + Student Info online at www.spie.org/mi18program

CONFERENCE 10581: Digital PathologyChairs: Metin N. Gurcan, The Ohio State Univ. Wexner Medical Ctr. (USA) and John E. Tomaszewski, Univ. at Buffalo (USA)

Tuesday/Wednesday Poster Author Set-Up: Sunday after 9:30 am, p.11

CONFERENCE 10580: Ultrasonic Imaging and TomographyChairs: Neb Duric, Delphinus Medical Technologies (USA), Barbara Ann Karmanos Cancer Institute (USA) and Brett C. Byram, Vanderbilt Univ. (USA)

KEYNOTE PRESENTATION: Imaging Biomarkers in Precision Medicine • Conf.10578, Martin Pompe, 10:10 to 11:10 am, p.6

Best Student Paper Awards Announcement, 4:00 pm

PLENARY PRESENTATION: Multidisciplinary Computational Anatomy: Concept and Clinical Application, Makoto Hashizume, 4:30 pm, p. 6

Physics of Medical Imaging Student Paper and Poster Awards • Conf. 10573, 9:40 to 9:45 am, p.15

KEYNOTE PRESENTATION: Crowdsourcing Biomedical Research: Leveraging Communities as Innovation Engines • Conf. 10575, Gustavo A. Stolovitzky, 8:00 to 9:00 am, p.8

KEYNOTE PRESENTATION: Real-time Imaging Feedback for Histotripsy: Non-invasive Ultrasound Cavitational Therapy • Conf. 10580, Zhen Xu, 10:10 to 11:10 am, p.9

Sunday/Monday Poster Author Set-Up: Sunday after 12:00 pm (noon), p.11

KEYNOTE PRESENTATION: From Image Processing and 3D Computer Vision to Computational Brain Imaging: A Journey through Modelling and Geometry • Conf. 10574, Rachid Deriche, 10:10 to 11:10 am, p.7

KEYNOTE PRESENTATION: Review of Interventional and Point-of-Caring Imaging • Conf. 10576, Cameron Piron, 10:10 to 11:10 am, p.8

KEYNOTE PRESENTATION: Will Computers Replace Radiologists for Primary Reads in 20 Years: A Debate • Conf. 10579, Eliot L. Siegel and Bradley J. Erickson, 8:00 to 9:00 am, p. 9

KEYNOTE PRESENTATION: Advancing Cancer Diagnostics with Deep Learning • Conf. 10581, Martin Stumpe, 1:20 to 2:20 pm, p.6

Women’s Networking Lunch, 12:10 to 1:20 pm, p.12

KEYNOTE PRESENTATION: Clinical Applications of Optical Imaging Techniques in the Breast • Conf. 10573, Wei T. Yang, 1:20 to 2:20 pm, p.8

Tuesday/Wednesday Poster Session/Reception, 5:30 to 7:00 pm, p.11

SC1183 Modern Diagnostic X-ray Sources (Behling) 1:30 pm to 5:30 pm, p.69

Robert F.Wagner All-Conference Best Student Paper Award, 4:00 to 4:15 pm, p.14

Image-Guided Procedures, Robotic Interventions, and Modeling Awards • Conf. 10576, 3:00 to 3:05 pm, p.15

Daily Events Schedule

Expand Your Network with SPIE Social Media.

#SPIEMedicalImaging


Daily Events ScheduleSATURDAY 10 February

SUNDAY 11 February

MONDAY 12 February

TUESDAY 13 February

WEDNESDAY 14 February

THURSDAY 15 February

SC1129 Photon Counting CT (Danielsson, Sjölin) 1:30 pm to 5:30 pm, p.69

Sunday/Monday Poster Session/Reception, 5:30 to 7:00 pm, p.10

Advances in Image-Guided Procedures: A Multi-Disciplinary Joint Forum, 3:30 to 5:00 pm, p.10

SC1236 SimpleITK Jupyter NEW

Notebooks: Biomedical Image Analysis in Python (Johnson, Lowekamp, Yaniv) 1:30 pm to 5:30 pm, p.71

Univ. of Texas MD Anderson Image-Guided Cancer Therapy Facilities Reception and Tour, 5:45 to 9:00 pm, p.12

PANEL DISCUSSION: PROSTATEx Lessons Learned and 2019 Challenge, 3:30 to 5:00 pm, p.10

Dessert with the Experts—A Student Networking Event, 6:30 to 7:30 pm, p.12

TECHNICAL WORKSHOP/LIVE DEMONSTRATIONS: Live Demonstrations, 5:00 to 7:00 pm, p.10

WORKSHOP: SELECTED PAPERS FROM THE JOURNAL OF MEDICAL IMAGING SPECIAL ISSUE, 5:00 to 7:00 pm, p.11

19TH SPIE/IFCARS JOINT WORKSHOP: Digital Operating Room: Clinical Applications of Multidisciplinary Computational Anatomy, Leonard Berliner, 5:00 to 7:00 pm, p.10

WORKSHOP/PANEL DISCUSSION: Ultrasound Computed Tomography Data Challenge, 5:30 to 7:30 pm, p.11


Daily Conference Session Schedule

TIME

CONF. 10573Physics of

Medical Imaging

Salon C

CONF. 10574Image

Processing

Salon B

CONF. 10575Computer-Aided

Diagnosis

Hunters Creek

CONF. 10576Image-Guided Procedures,

Robotic Interventions, and

Modeling

Salon A

CONF. 10577 Image Perception,

Observer Performance, and

Technology Assessment

Salon A

CONF. 10578Biomedical

Applications in Molecular,

Structural, and Functional Imaging

Montrose

CONF. 10579Imaging

Informatics for Healthcare,

Research, and Applications

Salon B

CONF. 10580Ultrasonic

Imaging and Tomography

Montrose

CONF. 10581Digital

Pathology

River Oaks

SUNDAY 11 FEBRUARY8:00 am to 9:40 am SESSION 1

Brain: Shapes and Biomarkers

SESSION 1 Keynote and Image Perception 1 Robert M. Nishikawa, Frank W. Samuelson

SESSION 1 MRI and fMRI Barjor Gimi, Alejandro F. Frangi

SESSION 1 Machine Learning Trends

9:40 am to 10:10 am COFFEE BREAK

10:10 am to 12:10 pm SESSION 2 Deep Learning: Segmentation

SESSION 2 Image Perception 2 Claudia R. Mello-Thoms, Elizabeth A. Krupinski

SESSION 2 Keynote and Emerging Trends Barjor Gimi, Andrzej Krol

SESSION 2 Diagnosis, Prognosis, and Predictive Analysis

12:00 pm to 9:00 pm Sunday/Monday Poster Viewing

Sunday/Monday Poster Viewing

Sunday/Monday Poster Viewing

12:10 pm to 1:20 pm LUNCH BREAK

1:20 pm to 3:00 pm SESSION 3 Image Enhancement

SESSION 3 Observer Performance Evaluation 1 Stephen L. Hillis, Sian Taylor-Phillips

SESSION 3 Neurological Imaging I Nicholas J. Tustison, Axel Wismüller

SESSION 3 Keynote and Emerging Trends

3:00 pm to 3:30 pm COFFEE BREAK

3:30 pm to 5:30 pm SESSION 4 Machine Learning

SESSION 4 Technology Assessment Craig K. Abbey, David L. Wilson

SESSION 4 Cardiovascular Imaging Amir A. Amini, Juan R. Cebral

SESSION 4 Detection and Segmentation

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Daily Conference Session Schedule

TIME


Medical Imaging

Salon C

CONF. 10574Image

Processing

Salon B


Diagnosis

Hunters Creek



Modeling

Salon A




Salon A




Montrose

CONF. 10579Imaging



Salon B



Montrose

CONF. 10581Digital

Pathology

River Oaks

MONDAY 12 FEBRUARY8:00 am to 9:40 am SESSION 1

Breast Imaging Hilde Bosmans, Stephen J. Glick

SESSION 5 Registration

SESSION 1 Lung I and Liver Catalin Fetita, Weijie Chen

SESSION 5 Model Observers 1 Matthew A. Kupinski, Ljiljana Platiša

SESSION 5 Novel Imaging Techniques and Applications Ciprian N. Ionita, Andrzej Krol

SESSION 5 Precision Medicine and Grading

9:40 am to 9:45 am AWARD ANNOUNCEMENTS


10:10 am to 12:10 pm SESSION 2 Breast Phantoms Anders Tingberg, Despina Kontos

SESSION 6 Keynote and Highlights

SESSION 2 Radiomics Maryellen L. Giger, Thomas Martin Deserno

SESSION 6 Model Observers 2 Howard C. Gifford, Ingrid S. Reiser,

SESSION 6 Innovations in Image Processing Ciprian N. Ionita, Armando Manduca


1:20 pm to 3:40 pm SESSION 3 Tomosynthesis Ioannis Sechopoulos, John M. Sabol

SESSION 7 fMRI and DTI

SESSION 3 Brain I Matthew S. Brown, Khan M. Iftekharuddin

SESSION 7 Observer Performance Evaluation 2 Mark F. McEntee, Yan Chen

SESSION 7 Optical Xavier Intes, Baohong Yuan

3:00 pm to 3:05 pm AWARD ANNOUNCEMENTS


4:00 pm to 5:30 pm Plenary and Awards Session (Room: Salon F)

5:30 pm to 7:00 pm Posters Monday Posters Monday Posters Monday Posters Monday


TIME


Medical Imaging

Salon C

CONF. 10574Image

Processing

Salon B


Diagnosis

Hunters Creek



Modeling

Salon A




Salon A




Montrose

CONF. 10579Imaging



Salon B



Montrose

CONF. 10581Digital

Pathology

River Oaks

TUESDAY 13 FEBRUARY8:00 am to 9:40 am SESSION 4

Detectors Wei Zhao, Karim S. Karim

SESSION 8 Motion

SESSION 4 Musculoskeletal and Skin Karen Drukker, Carol L. Nova

SESSION 1 Deep Learning

SESSION 8 Neurological Imaging II Nicholas J. Tustison, Axel Wismüller


10:10 am to 12:10 pm SESSION 5 CT Systems and Algorithms Rebecca Fahrig, Kirsten Boedeker,

SESSION 9 Image Features

SESSION 5 Breast I Heang-Ping Chan, Susan M. Astley

SESSION 2 Keynote and Medical Robotics Baowei Fei, Robert J. Webster III

SESSION 9 Cancer Vikram D. Kodibagkar, Baohong Yuan12:10 pm to 1:15 pm AWARD

ANNOUNCEMENTS

12:00 pm to 9:00 pm Tuesday/Wednesday Poster Viewing (Room: Salon D/E)

Tuesday/Wednesday Poster Viewing (Room: Salon D/E)





1:20 PM to 3:00 PM SESSION 6 Keynote and Innovations in Imaging Systems, Joseph Y. Lo, Taly Gilat Schmidt

SESSION 10Deep Learning: Lesions and Pathologies

SESSION 6 Cardiac, Vessels, and Novel Clarisa I. Sánchez, Horst K. Hahn

SESSION 3 Image Registration

SESSION 10 Imaging Agents Vikram D. Kodibagkar, Changqing Li,


3:30 pm to 4:50 pm SESSION 7 Photon Counting Detectors Shiva Abbaszadeh, Mats Danielsson

SESSION 11 Deep Learning: Generative Adversarial Networks

SESSION 7 PROSTATEx Lessons Learned and 2019 Challenge Samuel G. Armato III, Hiroshi Fujita

SESSION 4 Advances in Image-Guided Procedures: A Multi-Disciplinary Joint Forum

SESSION 11 Bone and Musculoskeletal Alejandro F. Frangi, Axel Wismüller


5:00 pm to 7:00 pm WORKSHOP 3 (Room: Salon C) Deep Learning for Imaging Physics

WORKSHOP 1 (Room: Salon C) Live Demonstrations Lubomir M. Hadjiiski, Horst K. Hahn

WORKSHOP 2 Selected Papers from the Journal of Medical Imaging Special Issue

WORKSHOP 4 (Room: Salon C) 19th SPIE/IFCARS Joint Workshop on the Digital Operating Room: Clinical Applications of Multidisciplinary Computational Anatomy

WORKSHOP 4 (Room: Salon C) 19th SPIE/IFCARS Joint Workshop on the Digital Operating Room: Clinical Applications of Multidisciplinary Computational Anatomy

Special Events • Award Events

spie.org/awards


TIME


Medical Imaging

Salon C

CONF. 10574Image

Processing

Salon B


Diagnosis

Hunters Creek



Modeling

Salon A




Salon A




Montrose

CONF. 10579Imaging



Salon B



Montrose

CONF. 10581Digital

Pathology

River Oaks

WEDNESDAY 14 FEBRUARY8:00 am to 9:40 am SESSION 8

CT Image Quality and Dose Thomas Flohr, Lifeng Yu

SESSION 8 Keynote and Eye Kensaku Mori, Lubomir M. Hadjiiski

SESSION 5 Neurological Procedures and Technologies

SESSION 1 Imaging Informatics for Precision Medicine Wyatt Tellis

SESSION 1 Perfusion and CEUS


10:10 am to 12:10 pm SESSION 9 Photon Counting Imaging Peter B. Noel, Hee-Joung Kim

SESSION 9 Colon and Prostate Janne J. Näppi, Hiroyuki Yoshida

SESSION 6 Ultrasound Imaging and Detection Methods

SESSION 2 Big Data and Cloud Technology Peter R. Bak

SESSION 2 Signal Processing and B-Mode


1:20 pm to 3:00 pm SESSION 10 Multi-Energy CT Maria Drangova, Patrick J. La Rivière

SESSION 10 Head and Neck Hayit Greenspan, Xiaofeng Yang

SESSION 7 Enhanced Reality, Simulation, and Planning

SESSION 3 3D Visualization and 3D Printing Brian Park

SESSION 3 Ultrasound Tomography I


3:30 pm to 5:30 pm SESSION 11 Deep Learning for CT Guang-Hong Chen, Marc Kachelriess

SESSION 11 Lung II Georgia D. Tourassi, Jong Hyo Kim

SESSION 8 Segmentation and Modeling

SESSION 4 Imaging Informatics for Diagnostics and Theraputic Applications Brent J. Liu

SESSION 4 Ultrasound Tomography II


5:30 pm to 7:00 pm Wednesday Poster Session (Room: Salon D/E)

Wednesday Poster Session (Room: Salon D/E)



WORKSHOP 5/PANEL DISCUSSION Ultrasound Computed Tomography Data Challenge




TIME


Medical Imaging

Salon C

CONF. 10574Image

Processing

Salon B


Diagnosis

Hunters Creek



Modeling

Salon A




Salon A




Montrose

CONF. 10579Imaging



Salon B



Montrose

CONF. 10581Digital

Pathology

River Oaks

THURSDAY 15 FEBRUARY8:00 am to 9:40 am SESSION 12

Neuroimaging Joseph W. Stayman, John Yorkston

SESSION 12 Quantitative Bram van Ginneken, Marleen de Bruijne

SESSION 9 Cardiac and Lung Imaging and Tracking

SESSION 5 Keynote and Imaging Informatics Jianguo Zhang, Steven C. Horii

SESSION 5 Photoacoustics I

9:40 am to 9:45 am AWARD ANNOUNCEMENTS

AWARD ANNOUNCEMENTS


10:10 am to 12:10 pm SESSION 13 Cardiothoracic Adam M. Alessio, Michael Gras

SESSION 13 Brain II Axel Wismüller, Kenji Suzuki

SESSION 10 Intraoperative Imaging and Technologies

SESSION 6 Machine Learning and Artificial Intelligence Tessa S. Cook

SESSION 6 Keynote and Photoacoustics II



1:20 pm to 3:00 pm SESSION 14 Phase Contrast Imaging Mini Das, Jinyi Qi

SESSION 14 Other Organs Marius George Linguraru, Ronald M. Summers M.D.

SESSION 11 Abdominal Imaging and Guidance Technologies

SESSION 7 Innovations in Imaging Informataics Thomas M. Deserno

SESSION 7 Ultrasound Tomography III



3:30 pm to 5:30 pm SESSION 15 Image Reconstruction Yuxiang Xing, Marc Kachelries

SESSION 15 Breast II Nico Karssemeijer, Maciej A. Mazurowski

SESSION 12 Validation, Simulation, and 3D Printing

SESSION 8 Machine Learning and Translations Research Po-Hao Chen

Session 8 Quantitative Ultrasound and Registration


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COURTESY OF


TECHNICAL CONFERENCES

CONFERENCE 10573ROOM: SALON C

Monday–Thursday 12–15 Feb. 2018 Proceedings of SPIE Vol. 10573

CONFERENCE 10574ROOM: SALON B

Sunday–Tuesday 11–13 Feb. 2018 Proceedings of SPIE Vol. 10574

Physics of Medical ImagingConference Chairs: Joseph Y. Lo, Duke Univ. Medical Ctr. (USA); Taly Gilat Schmidt, Marquette Univ. (USA); Guang-Hong Chen, Univ. of Wisconsin-Madison (USA)

Program Committee: Shiva Abbaszadeh, Univ. of Illinois at Urbana-Champaign (USA); Adam M. Alessio, Univ. of Washington (USA); Andreu Badal, U.S. Food and Drug Administration (USA); Kirsten Boedeker, Toshiba Medical Research Institute USA (USA); Hilde Bosmans, Katholieke Univ. Leuven (Belgium); Mini Das, Univ. of Houston (USA); Mats E. Danielsson, KTH Royal Institute of Technology (Sweden); Maria Drangova, Robarts Research Institute (Canada); Rebecca Fahrig, Siemens Healthcare GmbH (Germany), Stanford Univ. School of Medicine (USA); Thomas G. Flohr, Siemens Healthcare GmbH (Germany); Stephen J. Glick, U.S. Food and Drug Administration (USA), Univ. of Massachusetts Medical School (USA); Michael Grass, Philips Research (Germany); Marc Kachelriess, Deutsches Krebsforschungszentrum (Germany); Karim S. Karim, Univ. of Waterloo (Canada); Hee-Joung Kim, Yonsei Univ. (Korea, Republic of); Despina Kontos, The Univ. of Pennsylvania Health System (USA); Patrick J. La Riviere, The Univ. of Chicago (USA); Peter B. Noël, Klinikum rechts der Isar der Technischen Univ. München (Germany); Jinyi Qi, Univ. of California, Davis (USA); John A. Rowlands, Thunder Bay Regional Research Institute (Canada); John M. Sabol, GE Healthcare (USA); Ioannis Sechopoulos, Radboud Univ. Medical Ctr. (Netherlands); Joseph W. Stayman, Johns Hopkins Univ. (USA); Anders Tingberg, Lund Univ. (Sweden); Yuxiang Xing, Tsinghua Univ. (China); John Yorkston, Carestream Health, Inc. (USA); Lifeng Yu, Mayo Clinic (USA); Wei Zhao, Stony Brook Medicine (USA)

Image ProcessingConference Chairs: Elsa D. Angelini,Imperial College London (United Kingdom), Télécom ParisTech (France); Bennett A. Landman, Vanderbilt Univ. (USA)

Program Committee: Rafeef Abugharbieh, The Univ. of British Columbia (Canada); Mostafa Analoui, Livingston Securities LLC (USA); Brian B. Avants, Univ. of Pennsylvania (USA); Meritxell Bach-Cuadra, Univ. de Lausanne (Switzerland); Kyongtae Ty Bae, Univ. of Pittsburgh Medical Ctr. (USA); Ulas Bagci, Univ. of Central Florida (USA); Olivier Colliot, ICM Brain & Spine Institute (France); Benoit M. Dawant, Vanderbilt Univ. (USA); Marleen de Bruijne, Erasmus MC (Netherlands); Alexandre X. Falcão, Univ. Estadual de Campinas (Brazil); Aaron Fenster, Robarts Research Institute (Canada); James Fishbaugh, NYU Tandon School of Engineering (USA); Alejandro F. Frangi, The Univ. of Sheffield (United Kingdom); Mona K. Garvin, The Univ. of Iowa (USA); James C. Gee, Univ. of Pennsylvania (USA); Benjamin Glocker, Imperial College London (United Kingdom); Miguel Angel González Ballester, Univ. Pompeu Fabra (Spain); Hayit Greenspan, Tel Aviv Univ. (Israel); Ghassan Hamarneh, Simon Fraser Univ. (Canada); David R. Haynor, Univ. of Washington (USA); Tobias Heimann, Siemens AG (Germany); Christine P. Hendon, Columbia Univ. (USA); Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands); Stefan Klein, Erasmus MC (Netherlands); Ender Konukoglu, ETH Zürich (Switzerland); Tianhu Lei, MD Imaging Research (USA); Karim Lekadir, Univ. Pompeu Fabra (Spain); Boudewijn P. F. Lelieveldt, Leiden Univ. Medical Ctr. (Netherlands); Natasha Lepore, The Univ. of Southern California (USA); Marius George Linguraru, Children’s National Medical Ctr. (USA); Murray H. Loew, The George Washington Univ. (USA); Cristian Lorenz, Philips Research (Germany); Frederik Maes, Katholieke Univ. Leuven (Belgium); Vincent A. Magnotta, The Univ. of Iowa Hospitals and Clinics (USA); Rashindra Manniesing, Radboud Univ. Medical Ctr. (Netherlands); Diana Mateus, Technische Univ. München (Germany); Sunanda D. Mitra, Texas Tech Univ. (USA); Kensaku Mori, Nagoya Univ. (Japan); Nassir Navab, Technische Univ. München (Germany), Johns Hopkins Univ. (USA); Mads Nielsen, Niels Bohr Institute (Denmark); Wiro J. Niessen, Erasmus MC (Netherlands); Brian Nutter, Texas Tech Univ. (USA); Sébastien Ourselin, Univ. College London (UK); Dzung L. Pham, Henry Jackson Foundation/USU (USA), National Institutes of Health (USA), Johns Hopkins Univ. (USA); Jerry L. Prince, Johns Hopkins

CONFERENCE 10575ROOM: HUNTERS CREEK


Computer-Aided DiagnosisConference Chairs: Nicholas Petrick, U.S. Food and Drug Administration (USA); Kensaku Mori, Nagoya Univ. (Japan)

Program Committee: Samuel G. Armato III, The Univ. of Chicago (USA); Susan M. Astley, The Univ. of Manchester (UK); Stephen Aylward, Kitware, Inc. (USA); Matthew S. Brown, Univ. of California, Los Angeles (USA); Heang-Ping Chan, Univ. of Michigan (USA); Weijie Chen, U.S. Food and Drug Administration (USA); Marleen de Bruijne, Erasmus MC (Netherlands); Thomas M. Deserno, Technische Univ. Braunschweig (Germany); Karen Drukker, The Univ. of Chicago (USA); Catalin Fetita, Télécom SudParis (France); Hiroshi Fujita, Gifu Univ. School of Medicine (Japan); Maryellen L. Giger, The Univ. of Chicago (USA); Hayit Greenspan, Tel Aviv Univ. (Israel); Lubomir M. Hadjiiski, Univ. of Michigan (USA); Horst Karl Hahn, Fraunhofer MEVIS (Germany); Khan M. Iftekharuddin, Old Dominion Univ. (USA); Nico Karssemeijer, Radboud Univ. Nijmegen Medical Ctr. (Netherlands); JongHyo Kim, Seoul National Univ. Hospital (Korea, Republic of); Marius George Linguraru, Children’s National Medical Ctr. (USA); Maciej A. Mazurowski, Duke Univ. (USA); Fabrice Meriaudeau, Univ. Teknologi Petronas (Malaysia); Janne J. Näppi, Massachusetts General Hospital (USA), Harvard Medical School (USA); Noboru Niki, Univ. of Tokushima (Japan); Carol L. Novak, Siemens Healthineers (USA); Clarisa I. Sánchez, Radboud Univ. Medical Ctr. (Netherlands); Ronald M. Summers, National Institutes of Health (USA); Kenji Suzuki, Illinois Institute of Technology (USA); Georgia D. Tourassi, Oak Ridge National Lab. (USA); Bram van Ginneken, Radboud Univ. Nijmegen Medical Ctr. (Netherlands); Rafael Wiemker, Philips Research (Germany); Axel Wismüller, Univ. of Rochester Medical Ctr. (USA); Xiaofeng Yang, Emory Univ. (USA); Hiroyuki Yoshida, Massachusetts General Hospital (USA), Harvard Medical School (USA)

CONFERENCE 10576ROOM: SALON A


Image-Guided Procedures, Robotic Interventions, and ModelingConference Chairs: Baowei Fei, Emory Univ. (USA); Robert J. Webster III, Vanderbilt Univ. (USA)

Program Committee: Purang Abolmaesumi, The Univ. of British Columbia (Canada); Wolfgang Birkfellner, Medizinische Univ. Wien (Austria); Elvis C. S. Chen, Robarts Research Institute (Canada); Sandrine de Ribaupierre, Western Univ. (Canada); Gabor Fichtinger, Queen’s Univ. (Canada); George J. Grevera, Saint Joseph’s Univ. (USA); David Hawkes, Univ. College London (UK); David R. Haynor, Univ. of Washington (USA); William E. Higgins, The Pennsylvania State Univ. (USA); David R. Holmes III, Mayo Clinic (USA); Pierre Jannin, Univ. de Rennes 1 (France); David M. Kwartowitz, Grand Canyon Univ. (USA); Cristian A. Linte, Rochester Institute of Technology (USA); Lena Maier-Hein, Deutsches Krebsforschungszentrum (Germany); Michael I. Miga, Vanderbilt Univ. (USA); Kensaku Mori, Nagoya Univ. (Japan); Parvin Mousavi, Queen’s Univ. (Canada); Jack H. Noble, Vanderbilt Univ. (USA); Maryam E. Rettmann, Mayo Clinic (USA); Frank Sauer, Siemens Healthineers (USA); Eric J. Seibel, Univ. of Washington (USA); Guy Shechter, Philips Healthcare (USA); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA); Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA); Stefanie Speidel, Karlsruher Institut für Technologie (Germany); Andrew D. Wiles, Northern Digital Inc. (Canada); Ivo Wolf, Hochschule Mannheim (Germany); Ziv R. Yaniv, National Library of Medicine (USA)


Sunday–Monday 11–12 Feb. 2018 Proceedings of SPIE Vol. 10577

Image Perception, Observer Performance, and Technology AssessmentConference Chairs: Robert M. Nishikawa, Univ. of Pittsburgh (USA); Frank W. Samuelson, U.S. Food and Drug Administration (USA)

Program Committee: Craig K. Abbey, Univ. of California, Santa Barbara (USA); Jongduk Baek, Yonsei Univ. (Korea, Republic of); François O. Bochud, Ctr. Hospitalier Univ. Vaudois (Switzerland); Jovan G. Brankov, Illinois Institute of Technology (USA); Yan Chen, Loughborough Univ. (UK); Brandon D. Gallas, U.S. Food and Drug Administration (USA); Howard C. Gifford, Univ. of Houston (USA); Stephen L. Hillis, The Univ. of Iowa (USA); Elizabeth A. Krupinski, Emory Univ. School of Medicine (USA); Matthew A. Kupinski, College of Optical Sciences, The Univ. of Arizona (USA); Maciej A. Mazurowski, Duke Univ. (USA); Mark F. McEntee, The Univ. of Sydney (Australia); Claudia R. Mello-Thoms, The Univ. of Sydney (Australia), Univ. of Pittsburgh (USA); Ljiljana Platiša, Univ. Gent (Belgium); Ingrid S. Reiser, The Univ. of Chicago (USA); Sian Taylor-Phillips, The Univ. of Warwick (UK); Pontus A. Timberg, Scanias Univ. Hospital (Sweden); David L. Wilson, Case Western Reserve Univ. (USA)

10573 continues on page 30 Æ 10574 continues on page 26 Æ 10575 continues on page 30 Æ 10576 continues on page 40 Æ 10577 continues on page 26 Æ


TECHNICAL CONFERENCES

CONFERENCE 10578ROOM: MONTROSE


Biomedical Applications in Molecular, Structural, and Functional ImagingConference Chairs: Barjor Gimi, Cooper Medical School, Rowan Univ. (USA); Andrzej Krol, SUNY Upstate Medical Univ. (USA)

Program Committee: Amir A. Amini, Univ. of Louisville (USA); Juan R. Cebral, George Mason Univ. (USA); Alejandro F. Frangi, The Univ. of Sheffield (UK); Xavier Intes, Rensselaer Polytechnic Institute (USA); Ciprian N. Ionita, Toshiba Stroke and Vascular Research Ctr. (USA); Vikram Kodibagkar, Arizona State Univ. (USA); Changqing Li, Univ. of California, Merced (USA); Armando Manduca, Mayo Clinic College of Medicine (USA); Robert C. Molthen, GE Healthcare (USA), Marquette Univ. (USA), Medical College of Wisconsin (USA); Nicholas J. Tustison, Univ. of Virginia (USA); John B. Weaver, Dartmouth Hitchcock Medical Ctr. (USA); Axel Wismüller, Univ. of Rochester Medical Ctr. (USA); Baohong Yuan, The Univ. of Texas at Arlington (USA)


Tuesday–Thursday 13–15 Feb. 2018 Proceedings of SPIE Vol. 10579

Imaging Informatics for Healthcare, Research, and ApplicationsConference Chairs: Jianguo Zhang, Shanghai Institute of Technical Physics (China); Po-Hao Chen, The Univ. of Pennsylvania Health System (USA)

Program Committee: Peter R. Bak, Humber River Hospital (Canada); Tessa S. Cook, The Univ. of Pennsylvania Health System (USA); Thomas M. Deserno, Technische Univ. Braunschweig (Germany); Steven C. Horii, The Univ. of Pennsylvania Health System (USA); Maria Y. Law, Hong Kong Sanatorium and Hospital (Hong Kong, China); Heinz U. Lemke, Computer Assisted Radiology and Surgery (Germany); Brent J. Liu, The Univ. of Southern California (USA); Brian Park, The Univ. of Pennsylvania Health System (USA); Eliot L. Siegel, Univ. of Maryland Medical Ctr. (USA); Wyatt Tellis, Univ. of California, San Francisco (USA)



Ultrasonic Imaging and TomographyConference Chairs: Neb Duric, Delphinus Medical Technologies (USA), Barbara Ann Karmanos Cancer Institute (USA); Brett C. Byram, Vanderbilt Univ. (USA)

Program Committee: Mark A. Anastasio, Washington Univ. in St. Louis (USA); Jeffrey C. Bamber, The Royal Marsden NHS Foundation Trust (UK); Johan G. Bosch, Erasmus Univ. Rotterdam (Netherlands); Jan D’hooge, Univ. of Leuven (Belgium); Marvin M. Doyley, Univ. of Rochester (USA); Stanislav Y. Emelianov, The Univ. of Texas at Austin (USA); Mostafa Fatemi, Mayo Clinic College of Medicine (USA); Aaron Fenster, Robarts Research Institute (Canada); Jérémie Fromageau, The Institute of Cancer Research (UK); James F. Greenleaf, Mayo Clinic (USA); Emma J. Harris, The Institute of Cancer Research (UK); Michael Jaeger, Univ. Bern (Switzerland); Jørgen Arendt Jensen, Technical Univ. of Denmark (Denmark); David H. Kim, Pohang Univ. of Science and Technology (Korea, Republic of); Lasse Løvstakken, Norwegian Univ. of Science and Technology (Norway); Roman G. Maev, Univ. of Windsor (Canada); Stephen A. McAleavey, Univ. of Rochester (USA); Mohammad Mehrmohammadi, Wayne State Univ. (USA); Svetoslav I. Nikolov, BK Medical (Denmark); Olivier Roy, Barbara Ann Karmanos Cancer Institute (USA); Nicole V. Ruiter, Karlsruher Institut für Technologie (Germany); Kai E. Thomenius, Massachusetts Institute of Technology (USA); François Varray, CREATIS (France)

CONFERENCE 10581ROOM: RIVER OAKS


Digital PathologyConference Chairs: John E. Tomaszewski, Univ. at Buffalo (USA); Metin N. Gurcan, Wake Forest Baptist Medical Ctr. (USA)

Program Committee: Selim Aksoy, Bilkent Univ. (Turkey); Ulysses J. Balis, Univ. of Michigan Health System (USA); Rohit Bhargava, Univ. of Illinois at Urbana-Champaign (USA); Ulf-Dietrich Braumann, Hochschule für Technik, Wirtschaft und Kultur Leipzig (Germany); Weijie Chen, U.S. Food and Drug Administration (USA); Wei-Chung Cheng, U.S. Food and Drug Administration (USA); Eric Cosatto, NEC Labs. America, Inc. (USA); Scott Doyle, Rutgers, The State Univ. of New Jersey (USA); Michael D. Feldman, The Univ. of Pennsylvania Health System (USA); David J. Foran, Rutgers Cancer Institute of New Jersey (USA); Marios A. Gavrielides, U.S. Food and Drug Administration (USA); Tom R. L. Kimpe, Barco N.V. (Belgium); Elizabeth A. Krupinski, Emory Univ. School of Medicine (USA); Richard M. Levenson, Univ. of California, Davis (USA); Olivier Lezoray, Univ. de Caen Basse-Normandie (France); Geert Litjens, Radboud Univ. Medical Ctr. (Netherlands); Anant Madabhushi, Case Western Reserve Univ. (USA); Derek R. Magee, Univ. of Leeds (UK); Anne L. Martel, Sunnybrook Research Institute (Canada); Erik Meijering, Erasmus MC (Netherlands); James P. Monaco, Inspirata, Inc. (USA); Mehdi Moradi, IBM Research (USA); Bahram Parvin, Lawrence Berkeley National Lab. (USA); Josien P. W. Pluim, Image Sciences Institute (Netherlands); Nasir M. Rajpoot, The Univ. of Warwick (UK); Gustavo Kunde Rohde, Carnegie Mellon Univ. (USA); Berkman Sahiner, U.S. Food and Drug Administration (USA); Chukka Srinivas, Ventana Medical Systems, Inc. (USA); Darren Treanor, Univ. of Leeds (UK); Jeroen van der Laak, Radboud Univ. Nijmegen Medical Ctr. (Netherlands); Aaron D. Ward, The Univ. of Western Ontario (Canada); Martin J. Yaffe, Sunnybrook Research Institute (Canada); Bülent Yener, Rensselaer Polytechnic Institute (USA)

Poster SessionsTwo poster sessions are scheduled. See Poster Presentation Guidelines for additional information.




Poster award winners will be recog-nized and certificates distributed in the conference meeting rooms. Check conference schedules for times and lo-cations. Ribbons will identify winning posters during the Poster Sessions.

SUNDAY/MONDAY POSTER SESSION, see p. 34Location: Salon E Poster presentations from the Image Processing; Image Perception, Observer Performance, and Technology Assessment; Biomedical Applications in Molecular, Struc-tural, and Functional Imaging; and Digital Pathology conferences will be included.

Author Set-Up Time: Sunday after 12:00 pm (noon)

Posters should remain on display until the end of the Poster Session on Monday.



TUESDAY/WEDNESDAY POSTER SESSION, see p. 49 Location: Salon E Poster presentations from the Physics of Medical Imaging; Computer-Aided Diag-nosis; Image-guided Procedures, Robotic Interventions, and Modeling; Imaging Informatics for Healthcare, Research, and Applications; and Ultrasonic Imaging and Tomography conferences will be included.

Author Set-Up Time: Tuesday after 9:30 am

Posters should remain on display until the end of the Poster Session on Wednesday.



10579 continues on page 45 Æ 10580 continues on page 45 Æ 10581 continues on page 26 Æ

SUNDAY 11 FEBRUARY










SESSION 1ROOM: SALON B . . . . . . . . . . .SUN 8:00 AM TO 9:40 AM

Brain: Shapes and Biomarkers8:00 am: Sulcal depth-based cortical shape analysis in normal healthy control and schizophrenia groups, Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . [10574-1]

8:20 am: Sulcal pits extraction using Eigenfunction analysis, Saad Nadeem, Xianfeng Gu, Arie Kaufman, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . [10574-2]

8:40 am: Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines, Oula Puonti, Technical Univ. of Denmark (Denmark) and Copenhagen Univ. Hospital Hvidovre (Denmark); Koen Van Leemput, Technical Univ. of Denmark (Denmark) and Massachusetts General Hospital (USA); Jesper D. Nielsen, Copenhagen Univ. Hospital Hvidovre (Denmark) and Technical Univ. of Denmark (Denmark); Christian Bauer, Copenhagen Univ. Hospital Hvidovre (Denmark); Hartwig Siebner, Copenhagen Univ. Hospital Hvidovre (Denmark) and Bispebjerg Hospital (Denmark); Kristoffer H. Madsen, Axel Thielscher, Copenhagen Univ. Hospital Hvidovre (Denmark) and Technical Univ. of Denmark (Denmark). . . . . . . . . . . . . . . . . . . [10574-3]

9:00 am: Imaging biomarkers for the diagnosis of Prion disease, Liane Canas, Benjamin Yvernault, Carole Sudre, Enrico De Vita, M. Jorge Cardoso, John Thornton, Sébastien Ourselin, Simon Mead, Marc Modat, Univ. College London (UK) . . . . . . . . . [10574-4]

9:20 am: Constructing statistically unbiased cortical surface templates using feature-space covariance, Prasanna Parvathaneni, Ilwoo Lyu, Justin A. Blaber, Yuankai Huo, Allison E. Hainline, Neil D. Woodward, Hakmook Kang, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10574-5]

Coffee Break . . . . . . . . . . . . . .Sun 9:40 am to 10:10 am

Univ. (USA); Sonia Pujol, Brigham and Women’s Hospital (USA); Xin Qi, Rutgers, The State Univ. of New Jersey (USA); Punam K. Saha, The Univ. of Iowa (USA); Olivier Salvado, Commonwealth Scientific and Industrial Research Organisation (Australia); Emine Saritas, Bilkent Univ. (Turkey); Lin Shi, The Chinese Univ. of Hong Kong (China); Marius Staring, Leiden Univ. Medical Ctr. (Netherlands); Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA); Raphael Sznitman, Univ. Bern (Switzerland); Philippe Thevenaz, Ecole Polytechnique Fédérale de Lausanne (Switzerland); Jayaram K. Udupa, Univ. of Pennsylvania (USA); Koen Van Leemput, Harvard Medical School (USA), Massachusetts General Hospital (USA); Tom K. Vercauteren, Univ. College London (UK); Tomaž Vrtovec, Univ. of Ljubljana (Slovenia); Wolfgang Wein, ImFusion GmbH (Germany)

SESSION 1ROOM: SALON A . . . . . . . . . . .SUN 8:00 AM TO 9:40 AM

Keynote and Image Perception 1Session Chairs: Robert M. Nishikawa, Univ. of Pittsburgh (USA); Frank W. Samuelson, U.S.

Food and Drug Administration (USA)

8:00 am: Learning to See (Keynote Presentation), Richard B. Gunderman, Indiana Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-1]

9:00 am: Do radiographers base the diagnostic acceptability of a radiograph on anatomical structures?, Robin Decoster, Rachel Toomey, Marie Louise Butler, Univ. College Dublin (Ireland) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-2]

9:20 am: A cognitive approach to determine the benefits of pairing radiologists in mammogram reading, Ziba Gandomkar, Patrick C. Brennan, Claudia R. Mello-Thoms, The Univ. of Sydney (Australia) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-3]


SESSION 1ROOM: MONTROSE . . . . . . . .SUN 8:00 AM TO 9:40 AM

MRI and fMRISession Chairs: Barjor Gimi, Cooper Medical

School, Rowan Univ. (USA); Alejandro F. Frangi, The Univ. of Sheffield (UK)

8:00 am: Classifying Alzheimer’s disease using probability distribution distance of fractional anisotropy and trace from diffusion tensor imaging in combination with whole-brain segmentations, Yuanyuan Wei, Zhibin Chen, Sun Yat-Sen Univ. (China) and Carnegie Mellon Univ. (USA); Xiaoying Tang, Sun Yat-Sen Univ. (China) . . . . . . . . . . . . . . . . . . . [10578-1]

8:20 am: Brain functional mapping and network connectivity of reconstructed susceptibility data, Zikuan Chen, The Mind Research Network (USA); Vince Calhoun, The Mind Research Network (USA) and The Univ. of New Mexico (USA) . . . . . . . . . . . [10578-2]

8:40 am: Alternating segmentation and simulation for contrast adaptive tissue classification, Dzung L. Pham, Snehashis Roy, Henry M. Jackson Foundation (USA) . . . . . . . . . . . . . . . . . . . . . . [10578-3]

9:00 am: Tests of clustering thalamic nuclei based on various dMRI models in the squirrel monkey brain, Yurui Gao, Kurt G. Schilling, Iwona Stepniewska, Junzhong Xu, Bennett A. Landman, Dawant M. Benoit, Adam W. Anderson, Vanderbilt Univ. (USA) . . [10578-4]

9:20 am: Quantitative dynamic MRI (QdMRI) volumetric analysis of pediatric patients with thoracic insufficiency syndrome, Yubing Tong, Jayaram K. Udupa, Univ. of Pennsylvania (USA); E. Paul Wileyto, Univ. of Pennsylvania (USA); Caiyun Wu, Univ. of Pennsylvania (USA); Joseph M. McDonough, Anthony Capraro, Oscar H. Mayer, The Children’s Hospital of Philadelphia (USA); Drew A. Torigian, Univ. of Pennsylvania (USA); Robert M. Campbell Jr., The Children’s Hospital of Philadelphia (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10578-5]

Coffee Break . . . . . . . . . . . . . . . Sun 9:40 am to 10:10 a

SESSION 1ROOM: RIVER OAKS . . . . . . . .SUN 8:00 AM TO 9:40 AM

Machine Learning Trends8:00 am: SHIFT: Speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks, Erik A. Burlingame, Young Hwan Chang, Oregon Health & Science Univ. (USA) . . . . . . . [10581-1]

8:20 am: Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction, Caglar Senaras, Michael Pennell, The Ohio State Univ. (USA); Weijie Chen, Berkman Sahiner, U.S. Food and Drug Administration (USA); Arwa Shana’ah, The Ohio State Univ. (USA); Abner Louissaint, Robert Paul Hasserjian, Harvard Medical School (USA); Gerard Lozanski, Metin N. Gurcan, The Ohio State Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10581-2]

8:40 am: Positive unlabeled deep learning for region of interest localization in breast tissue images, Pushpak Pati, Sonali Andani, IBM Research - Zürich (Switzerland); Matheus Palhares Viana, IBM Research - Brazil (Brazil); Maria Gabrani, IBM Research - Zürich (Switzerland) . . . . . . . . . . . . . . . . . . . . . . . . . . [10581-3]

9:00 am: An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling, Muhammad Khalid Khan Niazi, The Ohio State Univ. Medical Ctr. (USA); Gillian Beamer, Tufts Univ. (USA); Metin N. Gurcan, The Ohio State Univ. Wexner Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10581-4]

9:20 am: Role of training data variability on classifier performance and generalizability, Ryan Therrien, Scott Doyle, Univ. at Buffalo (USA) . . . . . . . . . [10581-5]


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SUNDAY 11 FEBRUARY









SESSION 2ROOM: SALON B . . . . . . . . . SUN 10:10 AM TO 12:10 PM

Deep Learning: Segmentation10:10 am: Segmentation of anatomical structures in cardiac CTA using multi-label V-Net, Hui Tang, Mehdi Moradi, Ahmed E. Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood, IBM Research - Almaden (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10574-6]

10:30 am: Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images, Nikolas Lessmann, Univ. Medical Ctr. Utrecht (Netherlands); Bram van Ginneken, Radboud Univ. Medical Ctr. (Netherlands); Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands) . . . . . . . . . [10574-7]

10:50 am: Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks, Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Vanderbilt Univ. (USA); Albert Assad, Incyte Corp. (USA); Richard G. Abramson, Bennett A. Landman, Vanderbilt Univ. (USA) . [10574-8]

11:10 am: Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural network and convolutional LSTM, Dongqing Zhang, Merck & Co., Inc. (USA) and Vanderbilt Univ. (USA); Ilknur Icke, Belma Dogdas, Merck & Co., Inc. (USA); Sarayu Parimal, Smita Sampath, Merck Sharp & Dohme Corp. (Singapore); Joseph Forbes, Ansuman Bagchi, Merck & Co., Inc. (USA); Chih-Liang Chin, Merck Sharp & Dohme Corp. (Singapore); Antong Chen, Merck & Co., Inc. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10574-9]

11:30 am: Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks, Holger R. Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Nagoya Univ. (Japan); Takayuki Kitasaka, Aichi Institute of Technology (Japan); Michitaka Fujiwara, Nagoya Univ. Graduate School of Medicine (Japan); Kazunari Misawa, Aichi Cancer Ctr. Hospital (Japan); Kensaku Mori, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . [10574-10]

11:50 am: A novel fully deep convolutional neural networks for mitochondria segmentation based on ATUM-SEM, Chi Xiao, Institute of Automation (China) and Univ. of Chinese Academy of Sciences (China); Weifu Li, Xi Chen, Institute of Automation (China); Hua Han, Institute of Automation (China) and Univ. of Chinese Academy of Sciences (China) and Chinese Academy of Sciences (China); Qiwei Xie, Institute of Automation (China) . . . . . . . . . . . . . . . . . . . . [10574-11]

SESSION 2ROOM: SALON A . . . . . . . . . SUN 10:10 AM TO 12:10 PM

Image Perception 2Session Chairs: Claudia R. Mello-Thoms,

The Univ. of Sydney (Australia); Elizabeth A. Krupinski,

Emory Univ. School of Medicine (USA)

10:10 am: Restored low-dose digital breast tomosynthesis: a perception study, Lucas R. Borges, Escola de Engenharia de São Carlos (Brazil); Predrag R. Bakic, Andrew D. A. Maidment, The Univ. of Pennsylvania Health System (USA); Marcelo A. C. Vieira, Escola de Engenharia de São Carlos (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-4]

10:30 am: A database for assessment of effect of lossy compression on digital mammograms, Jiheng Wang, Berkman Sahiner, Nicholas A. Petrick, Aria Pezeshk, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-5]

10:50 am: Analysis of visual search behaviour from experienced radiologists interpreting digital breast tomosynthesis (DBT) images: a pilot study, Leng Dong, Yan Chen, Alastair Gale, Qiang Tang, Xinyan Liu, Loughborough Univ. (UK); Daniella Bernardi, Trento Hospital (Italy) . . . . . . . . . . . . . . . . . . . . . . . . . [10577-6]

11:10 am: A deep (learning) dive into visual search behaviour of breast radiologists, Suneeta Mall, Patrick C. Brennan, Claudia R. Mello-Thoms, The Univ. of Sydney (Australia) . . . . . . . . . . . . . . . . . . . . [10577-7]

11:30 am: Comparing salience detection algorithms in mammograms, Kristina Landino, Feorge Washington Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-8]

11:50 am: Satisfaction at last: evidence for the ‘satisfaction’ account for multiple-target search errors, Stephen Adamo, Columbian College of Arts & Sciences (USA); Matthew S. Cain, U.S. Army Research, Development and Engineering Command (USA); Stephen R. Mitroff, Columbian College of Arts & Sciences (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10577-9]

SESSION 2ROOM: MONTROSE . . . . . . SUN 10:10 AM TO 12:10 PM

Keynote and Emerging TrendsSession Chairs: Barjor Gimi, Cooper Medical

School, Rowan Univ. (USA); Andrzej Krol, SUNY Upstate Medical Univ. (USA)

10:10 am: Imaging Biomarkers in Precision Medicine (Keynote Presentation), Martin Pomper, The Johns Hopkins Univ. School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10578-6]

11:10 am: Development of ultrafast detector for advanced time-of-flight brain PET, Eric S. Harmon, LightSpin Technologies, Inc. (USA); Michael O. Thompson, Cornell Univ. (USA); Krishna C. Mandal, Univ. of South Carolina (USA); Charles R. Schmidtlein, Memorial Sloan-Kettering Cancer Ctr. (USA); James N. Turner, Binghamton Univ. (USA); Jacques Beaumont, Complex Biosystems Inc. (USA); Andrzej Krol, SUNY Upstate Medical Univ. (USA) . . . . . . . . . . . . . . [10578-7]

11:30 am: Comparing diffusion tensor and spherical harmonic tractography for in utero studies of fetal brain connectivity, David Hunt, Manjiri Dighe, Christopher Gatenby, Colin Studholme, Univ. of Washington (USA) . . . . . . . . . . . . . . . . . . . . . . [10578-8]

11:50 am: Investigating directed functional connectivity between the resting state networks of the human brain using mutual connectivity analysis, Anas Z. Abidin, Adora M. DSouza, Udaysankar Chockanathan, Giovanni Schifitto, Axel Wismüller, Univ. of Rochester Medical Ctr. (USA) . . . . . . . . . . . [10578-9]

SESSION 2ROOM: RIVER OAKS . . . . . . SUN 10:10 AM TO 12:10 PM

Diagnosis, Prognosis, and Predictive Analysis

10:10 am: Computational analysis of the structural progression of human DN glomeruli, Brandon G. Ginley, John E. Tomaszewski, Univ. at Buffalo (USA); Kuang-Yu Jen, Univ. of California, Davis (USA); Agnes Fogo, Vanderbilt Univ. (USA); Sanjay Jain, Washington Univ. School of Medicine in St. Louis (USA); Pinaki Sarder, Univ. at Buffalo (USA) . . . . . . . . . . . . . [10581-6]

10:30 am: Examining structural changes in diabetic nephropathy using inter-nuclear distances in glomeruli, Olivier Simon, Rabi Yacoub, Univ. at Buffalo (USA); Sanjay Jain, Washington Univ. School of Medicine in St. Louis (USA); John E. Tomaszewski, Pinaki Sarder, Univ. at Buffalo (USA) . . . . . . . [10581-7]

10:50 am: Deep variational auto-encoders for unsupervised glomerular classification, Brendon Lutnick, Rabi Yacoub, Univ. at Buffalo (USA); Kuang-Yu Jen, Univ. of California, Davis (USA); John E. Tomaszewski, Univ. at Buffalo (USA); Sanjay Jain, Washington Univ. School of Medicine in St. Louis (USA); Pinaki Sarder, Univ. at Buffalo (USA) . . [10581-8]

11:10 am: Combination of nuclear NF-kB/p65 localization and gland morphological features from surgical specimens appears to be predictive of early biochemical recurrence in prostate cancer patients, Patrick Leo, Eswar Shankar, Robin Elliott, Andrew Janowczyk, Anant Madabhushi, Sanjay Gupta, Case Western Reserve Univ. (USA) . . . . . . . . . [10581-9]

11:30 am: A bottom-up approach for pattern discovery of tumour cells in whole slide images of lung adenocarcinoma, Najah Alsubaie, The Univ. of Warwick (UK) and Princess Nourah bint Abdul Rahman Univ. (Saudi Arabia); Korsuk Sirinukunwattana, Beth Israel Deaconess Medical Ctr. (USA); Shan E. Ahmed Raza, Institute of Cancer Research, The Univ. of Warwick (UK); David Snead, Univ. Hospitals Coventry and Warwickshire NHS Trust (UK); Nasir M. Rajpoot, The Univ. of Warwick (UK) . . . . . . . . . . . . . . . [10581-10]

11:50 am: Mitotic cells detection for HEp-2 specimen images using threshold-based evaluation scheme, Krati Gupta, Arnav Bhavsar, Anil K. Sao, Indian Institute of Technology Mandi (India) . . . . . . . . . . . . . [10581-11]


SUNDAY 11 FEBRUARY










ROOM: SALON D/E . . . . . . . . . . . . 12:00 PM TO 9:00 PM

Sunday/Monday Poster ViewingPosters will be on display Sunday and Monday with extended viewing until 9:00 pm on Sunday. The poster session with authors in attendance will be Monday evening from 5:30 to 7:00 pm. Award winners will be identified with ribbons during the reception. Award announcement times are listed in the conference schedule.

Lunch Break . . . . . . . . . . . . . .Sun 12:10 pm to 1:20 pm










SESSION 3ROOM: SALON B . . . . . . . . . . . SUN 1:20 PM TO 3:00 PM

Image Enhancement1:20 pm: A log-Euclidean and total variation based variational framework for computational sonography, Jyotirmoy Banerjee, Premal A. Patel, Univ. College London (UK); Fred Ushakov, Univ. College London Hospital (UK); Donald Peebles, Univ. College London (UK); Jan Deprest, KU Leuven (Belgium); Sébastien Ourselin, David J. Hawkes, Tom Vercauteren, Univ. College London (UK) . . . . . . . . . . . . . . [10574-12]

1:40 pm: Enhanced coronary artery calcium registration in dual energy chest radiography using automatic rib suppression, Bo Zhou, Di Wen, Case Western Reserve Univ. (USA); Robert Gilkeson, Case Western Reserve Univ. (USA) and Univ. Hospitals of Cleveland (USA); Jun Hou, David L. Wilson, Case Western Reserve Univ. (USA) . . . . . . . . . . . . [10574-13]

2:00 pm: Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing, Junchi Liu, Amin Zarshenas, Zheng Wei, Illinois Institute of Technology (USA); Limin Yang, The Univ. of Iowa (USA); Laurie Fajardo, The Univ. of Utah (USA); Kenji Suzuki, Illinois Institute of Technology (USA) . . . . . . . . . . . . [10574-14]

2:20 pm: Image enhancement method for digital mammography, Nikolai V. Slavine, Stephen Seiler, Timothy J. Blackburn, Robert E. Lenkinski, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10574-15]

2:40 pm: Image reconstruction using priors from deep learning, Nisha Ramesh, The Univ. of Utah (USA) and nView Medical Inc. (USA); Dimitri Yatsenko, Baylor College of Medicine (USA); Tolga Tasdizen, The Univ. of Utah (USA); Cristain Atria, nView Medical Inc. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10574-16]

Coffee Break . . . . . . . . . . . . . . .Sun 3:00 pm to 3:30 pm

SESSION 3ROOM: SALON A . . . . . . . . . . . SUN 1:20 PM TO 3:00 PM

Observer Performance Evaluation 1Session Chairs: Stephen L. Hillis,

The Univ. of Iowa (USA); Sian Taylor-Phillips, The Univ. of Warwick (UK)

1:20 pm: Model and human observer reproducibility for detecting microcalcifications in digital breast tomosynthesis images, Dimitar Petrov, UZ Leuven (Belgium); Nicholas Marshall, UZ Leuven (Belgium) and KU Leuven (Belgium); Kenneth Young, The Royal Surrey County Hospital NHS Trust (UK); Hilde Bosmans, UZ Leuven (Belgium) and KU Leuven (Belgium) . [10577-10]

1:40 pm: Evaluation of search strategies for microcalcifications and masses in 3D images, Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey, Univ. of California, Santa Barbara (USA) . . . . . . . . . . [10577-11]

2:00 pm: Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial, Zhijin Li, GE Healthcare France (France) and Ecole Normale Supérieure de Paris-Saclay (France); Agnès Desolneux, Ecole Normale Supérieure de Paris Saclay (France); Serge Muller, Pablo Milioni de Carvalho, Ann-Katherine Carton, GE Healthcare France (France) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-12]

2:20 pm: Analyzing asymmetric ROC curves using the effective set-size model, Frank W. Samuelson, U.S. Food and Drug Administration (USA); Craig K. Abbey, Univ. of California, Santa Barbara (USA); Xin He, U.S. Food and Drug Administration (USA) . . [10577-13]

2:40 pm: Efficiency gain of paired split-plot designs in MRMC ROC studies, Weijie Chen, Qi Gong, Brandon D. Gallas, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-14]


SESSION 3ROOM: MONTROSE . . . . . . . . SUN 1:20 PM TO 3:00 PM

Neurological Imaging ISession Chairs: Nicholas J. Tustison, Univ. of Virginia (USA); Axel Wismüller, Univ. of

Rochester Medical Ctr. (USA)

1:20 pm: Resilient modular small-world directed brain networks in healthy subjects with multi-scale large-scale Granger causality analysis of resting-state functional MRI, Udaysankar Chockanathan, Univ. of Rochester Medical Ctr. (USA); Anas Z. Abidin, Adora M. DSouza, Univ. of Rochester (USA); Giovanni Schifitto, Univ. of Rochester Medical Ctr. (USA); Axel Wismüller, Univ. of Rochester (USA) . . . [10578-10]

1:40 pm: Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate, Adora M. DSouza, Univ. of Rochester (USA); Anas Z. Abidin, Udaysankar Chockanathan, Axel Wismüller, Univ. of Rochester Medical Ctr. (USA) . . . . . [10578-11]

2:00 pm: Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation, Aaron Carass, Jerry L. Prince, Lianrui Zuo, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . [10578-12]

2:20 pm: Segmentation and assessment of structural plasticity of hippocampal dendritic spines from 3D confocal light microscopy, Subhadip Basu, Jadavpur Univ. (India); Punam K. Saha, The Univ. of Iowa (USA); Ewa Baczynska, Nencki Institute of Experimental Biology (Poland); Nirmal Das, Jadavpur Univ. (India); Matylda Babraj, Marta Magnowska, Jakub Wlodarczyk, Nencki Institute of Experimental Biology (Poland) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10578-13]

2:40 pm: Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas, Muhan Shao, Aaron Carass, Xiang Li, Blake E. Dewey, Ari M. Blitz, Jerry L. Prince, Johns Hopkins Univ. (USA); Lotta M. Ellingsen, Johns Hopkins Univ. (USA) and Univ. of Iceland (Iceland) . . . . . . . [10578-14]


SESSION 3ROOM: RIVER OAKS . . . . . . . . SUN 1:20 PM TO 3:00 PM

Keynote and Emerging Trends1:20 pm: Advancing Cancer Diagnostics with Deep Learning (Keynote Presentation), Martin C. Stumpe, Google Research (USA) . . . . . [10581-12]

2:20 pm: Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining, Caglar Senaras, The Ohio State Univ. (USA); Berkman Sahiner, U.S. Food and Drug Administration (USA); Gary Tozbikian, Gerard Lozanski, Metin N. Gurcan, The Ohio State Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10581-13]

2:40 pm: Single stain normalization for IHC whole slide images, Yao Nie, Maria Sainz de Cea, Ventana Medical Systems, Inc. (USA) . . . . . . [10581-14]




SUNDAY 11 FEBRUARY









SESSION 4ROOM: SALON B . . . . . . . . . . . SUN 3:30 PM TO 5:30 PM

Machine Learning3:30 pm: Automated abdominal plane and circumference estimation in 3D US for fetal screening, Cristian Lorenz, Tom Brosch, Philips Research (Germany); Cybele Ciofolo-Veit, Philips France (France); Klinder Tobias, Philips Research (Germany); Thierry Lefevre, Philips France (France); Angelo Cavallaro, Ibtisam Salim, Aris T. Papageorghiou, Univ. of Oxford (UK); Caroline Raynaud, Philips France (France); David Roundhill, Phillips Healthcare (USA); Laurence Rouet, Philips France (France); Nicole Schadewaldt, Philips Research (Germany) . . [10574-17]

3:50 pm: Left ventricle segmentation in 3D ultrasound by combining structured random forests with active shape models, Feriel Khellaf, Erasmus MC (Netherlands); Sarah Leclerc, CREATIS (France); Jason D. Voorneveld, Raja S. Bandaru, Johan G. Bosch, Erasmus MC (Netherlands); Olivier Bernard, CREATIS (France) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10574-18]

4:10 pm: Fine segmentation of tiny blood vessel based on fully-connected conditional random field, Chenglong Wang, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10574-19]

4:30 pm: Automatic and fast CT liver segmentation using sparse ensemble with machine learned contexts, Bhavya Ajani, Aditya Bharadwaj, Karthik Krishnan, Samsung Research Institute (India) [10574-20]

4:50 pm: Nearest neighbor 3D segmentation with context features, Hristova Evelin, Heinrich Schulz, Tom Brosch, Philips Research (Germany); Mattias P. Heinrich, Univ. zu Lübeck (Germany); Hannes Nickisch, Philips Research (Germany) . . . . . . . . . . . . . [10574-21]

5:10 pm: Detecting multiple myeloma via generalized multiple-instance learning, Jan Hering, Jan Kybic, Czech Technical Univ. in Prague (Czech Republic); Lukáš Lambert, Charles Univ. in Prague (Czech Republic) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10574-22]

SESSION 4ROOM: SALON A . . . . . . . . . . . SUN 3:30 PM TO 5:30 PM

Technology AssessmentSession Chairs: Craig K. Abbey, Univ. of California, Santa Barbara (USA); David L.

Wilson, Case Western Reserve Univ. (USA)

3:30 pm: Interaction of anatomic and quantum noise in DBT and breast CT power spectrum, Amar Kavuri, Nathaniel R. Fredette, Mini Das, Univ. of Houston (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-15]

3:50 pm: Comparison of synthetic 2D images with planar and tomosynthesis imaging of the breast using a virtual clinical trial, Alistair Mackenzie, Sukmanjit Kaur, Premkumar Elangovan, David R. Dance, The Royal Surrey County Hospital NHS Trust (UK) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-16]

4:10 pm: Assessment of DBT acquisition parameters for 2D and 3D search tasks, Howard C. Gifford, Univ. of Houston (USA); Mini Das, Univ. of Houston (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-17]

4:30 pm: Quantifying predictive capability of electronic health records for the most harmful breast cancer, Yirong Wu, Jun Fan, Univ. of Wisconsin-Madison (USA); Peggy Peissig, Richard Berg, Ahmad Tafti, Marshfield Clinic (USA); Jie Yin, Jiangbei People’s Hospital (China); Ming Yuan, David Page, Univ. of Wisconsin-Madison (USA); Jennifer Cox, Univ. of Wisconsin School of Medicine and Public Health (USA); Elizabeth Burnside, Univ. of Wisconsin Hospitals and Clinics Authority (USA) . . . . . . [10577-18]

4:50 pm: Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed ‘test’ dataset and a potential solution, Alexej Gossmann, Tulane Univ. (USA); Aria Pezeshk, Berkman Sahiner, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10577-19]

5:10 pm: Towards the use of computationally inserted lesions for mammographic CAD assessment, Zahra Ghanian, Aria Pezeshk, Nicholas A. Petrick, Berkman Sahiner, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . [10577-20]

SESSION 4ROOM: MONTROSE . . . . . . . . SUN 3:30 PM TO 5:10 PM

Cardiovascular ImagingSession Chairs: Amir A. Amini,

Univ. of Louisville (USA); Juan R. Cebral, George Mason Univ. (USA)

3:30 pm: Visualizing lymphatic abnormalities in peripheral venous and arterial disease, John C. Rasmussen, Banghe Zhu, The Univ. of Texas Health Science Ctr. at Houston (USA); Aaron D. Sahihi, The Univ. of Texas Health Science Ctr. at San Antonio (USA); Melissa B. Aldrich, The Univ. of Texas Health Science Ctr. at Houston (USA); Susan M. Pouliot, The Univ. of Texas Health Science Ctr. at San Antonio (USA); Stuart A. Harlin, Kristofer M. Charlton-Ouw, The Univ. of Texas Health Science Ctr. at Houston (USA); Caroline E. Fife, CHI St. Luke’s Health (USA); Thomas F. O’Donnell, Tufts Univ. School of Medicine (USA); Eva M. Sevick-Muraca, The Univ. of Texas Health Science Ctr. at Houston (USA) . . . . . . . . . . . . . . . . . . [10578-15]

3:50 pm: Estimation of blood flow with confidence intervals in CT myocardial perfusion imaging, Brendan L. Eck, Jacob Levi, Hao Wu, Yuemeng Li, Case Western Reserve Univ. (USA); Rachid Fahmi, Siemens Healthineers (USA); Anas Fares, Hiram G. Bezerra, Univ. Hospitals of Cleveland (USA); David L. Wilson, Case Western Reserve Univ. (USA) . [10578-16]

4:10 pm: Toward modeling the effects of regional material properties on the wall stress distribution of abdominal aortic aneurysms, Golnaz Jalalahmadi, María Helguera, Cristian A. Linte, Rochester Institute of Technology (USA); Doran S. Mix, Univ. of Rochester (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10578-17]

4:30 pm: 3D printed cardiovascular patient specific phantoms used for clinical validation of a CT-derived FFR diagnostic software, Kelsey N. Sommer, Lauren M. Shepard, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Vijay Iyer, Toshiba Stroke and Vascular Research Ctr. (USA) and Jacobs School of Medicine, Univ. at Buffalo (USA); Erin Angel, Toshiba America Medical Systems, Inc. (USA); Michael Wilson, Toshiba Stroke and Vascular Research Ctr. (USA) and Jacobs School of Medicine, Univ. at Buffalo (USA); Frank J. Rybicki, The Ottawa Hospital (Canada); Dimitrios Mitsouras, Brigham and Women’s Hospital (USA); Stephen Rudin, Ciprian N. Ionita, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . . . [10578-18]

4:50 pm: Comparison of myocardial scar geometry generated from 2D and 3D late gadolinium enhanced MRI images, Fatma Usta, Wail Gueaieb, Univ. of Ottawa (Canada); James A. White, Univ. of Calgary (Canada); Conor McKeen, Eranga Ukwatta, Carleton Univ. (Canada) . . . . . . . . . . . . . . . . [10578-19]

SESSION 4ROOM: RIVER OAKS . . . . . . . . SUN 3:30 PM TO 5:30 PM

Detection and Segmentation3:30 pm: Quantifying cell-type interactions and their spatial patterns as prognostic biomarkers in follicular lymphoma, using multiplexed immunohistochemistry and random forest classification, Anna Maria Tsakiroglou, Martin Fergie, Catharine West, The Univ. of Manchester (UK); Kim Linton, The Univ. of Manchester (UK) and The Christie NHS Foundation Trust (UK); Sue Astley, The Univ. of Manchester (UK) and Manchester Breast Ctr., Manchester Cancer Research Ctr., Christie Hospital (UK) and Nightingale Ctr. and Genesis Prevention Ctr., Univ. Hospital of South Manchester (UK); Richard Byers, Institute of Cancer Sciences, The Univ. of Manchester (UK) and Manchester Academic Health Science Ctr., The Univ. of Manchester (UK) and Manchester Royal Infirmary (UK) . . . . . . . . . . [10581-15]

3:50 pm: Identifying bladder layers from H&E tissue biopsies: a deep learning approach, Muhammad Khalid Khan Niazi, The Ohio State Univ. Medical Ctr. (USA); Thomas E. Tavolara, Vidya Arole, The Ohio State Univ. Wexner Medical Ctr. (USA); Anil V. Parwani, The Ohio State Univ. Medical Ctr. (USA); Cheryl T. Lee, Metin N. Gurcan, The Ohio State Univ. Wexner Medical Ctr. (USA). . . . . . . . . . . . . . . . . . . . . . . . . . . . [10581-16]

4:10 pm: Cancer detection in histopathology whole-slide images using conditional random fields on deep embedded spaces, Farhad Ghazvinian Zanjani, Svitlana Zinger, Peter H. N. de With, Technische Univ. Eindhoven (Netherlands) . . . . . . . . . . . . . . . . [10581-17]

4:30 pm: Validation of multiplex immunohistochemistry assays using automated image analysis, Auranuch N. Lorsakul, Roche Diagnostics Corp. (USA) . . . . . . . . . . . . . . . . [10581-18]

4:50 pm: Color deconvolution method with DAB scatter correction for bright field image analysis, Yao Nie, Christian Roessler, Ventana Medical Systems, Inc. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10581-19]

5:10 pm: Automatic color unmixing of IHC stained whole slide images, Daan Geijs, Milad Intezar, Jeroen van der Laak, Geert J. S. Litjens, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . [10581-20]


CONFERENCE 10578

ROOM: MONTROSESun.–Tues. 11–13 Feb. 2018

CONFERENCE 10581

ROOM: RIVER OAKS Sun.–Mon. 11–12 Feb. 2018

SUNDAY 11 FEBRUARY TECHNICAL CONFERENCES

CONFERENCE 10573

ROOM: SALON CMon.–Thurs. 12–15 Feb. 2018

CONFERENCE 10574

ROOM: SALON B Sun.–Tues. 11–13 Feb. 2018

CONFERENCE 10575

ROOM: HUNTERS CREEK Mon.–Thurs. 12–15 Feb. 2018

CONFERENCE 10577

ROOM: SALON ASun.–Mon. 11–12 Feb. 2018


MONDAY 12 FEBRUARY

SESSION 1ROOM: SALON C . . . . MON 8:00 AM

TO 9:40 AMBreast Imaging

Session Chairs: Hilde Bosmans, KU Leuven (Belgium); Stephen J. Glick,

U.S. Food and Drug Administration (USA)

8:00 am: Comparison of di-rect-conversion a-Se and CsI scintillator-based CMOS FFDM/DBT flat-panel detectors, using an anthropomorphic breast phan-tom with embedded microcalcifi-cation signals, Andrey V. Makeev, Lynda C. Ikejimba, Stephen J. Glick, U.S. Food and Drug Administration (USA) . . . . [10573-1]

8:20 am: Anatomic noise in digital mammography: a linear systems approach, Robert Lalonde, Jesse Tanguay, The Univ. of British Columbia Okanagan (Canada) . . . . . . . . . . . . . [10573-2]

8:40 am: Towards determination of individual glandular dose, Hannie Petersson, Magnus Dustler, Daniel Förnvik, Pontus Timberg, Sophia Zackrisson, Lund Univ. (Sweden); Anders Tingberg, Lund Univ. (Sweden) and Skåne Univ. Hospital Malmö (Sweden) [10573-3]

9:00 am: Classification of breast microcalcifications using du-al-energy mammography, Bahaa Ghammraoui, U.S. Food and Drug Administration (USA) . . . . [10573-4]

9:20 am: Virtual clinical trial of lesion detection in digital mammography and digital breast tomosynthesis, Predrag R. Bakic, Bruno Barufaldi, David Higginboth-am, Susan P. Weinstein, The Univ. of Pennsylvania Health System (USA); Ali Avanaki, Kathryn Espig, Albert Xthona, Tom Kimpe, Barco, Inc. (USA); Andrew D. A. Maidment, The Univ. of Pennsylvania Health System (USA) . . . . . . . . . [10573-5]

Coffee Break Mon 9:40 to 10:10 am

SESSION 5ROOM: SALON B . . . . MON 8:00 AM

TO 9:40 AM

Registration8:00 am: A multilevel Markov Chain Monte Carlo approach for uncertainty quantification in deformable registration, Sandra Schultz, Heinz Handels, Jan Ehrhardt, Univ. zu Lübeck (Germany) . . . . . . . . . . . [10574-23]

8:20 am: Quadratic: quality of dice in registration circuits, Shikha Chaganti, Bennett A. Landman, Vanderbilt Univ. (USA) . . [10574-24]

8:40 am: Self-reference-based and during-registration-detection of motion artifacts in spatio-tem-poral image data, Eike Mücke, Universitätsklinikum Hamburg- Eppendorf (Germany); Heinz Handels, Univ. zu Lübeck (Germany); René Werner, Universi-tätsklinikum Hamburg-Eppendorf (Germany) . . . . . . . . . . . [10574-25]

9:00 am: GPU-based stochastic-gradient optimization for non-rigid medical image registration in time-critical applications, Parag Bhosale, Technische Univ. Delft (Netherlands); Marius Staring, Leiden Univ. Medical Ctr. (Netherlands) and Technische Univ. Delft (Netherlands); Zaid Al-Ars, Technische Univ. Delft (Netherlands); Floris Berendsen, Leiden Univ. Medical Ctr. (Netherlands) . . . . . . . . . [10574-26]

9:20 am: Deformable image registration using convolution-al neural networks, Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim, Technische Univ. Eindhoven (Netherlands) . . . . . . . . . [10574-27]


SESSION 1ROOM: HUNTERS CREEK . . . . MON

8:00 AM TO 9:40 AM

Lung I and LiverSession Chairs: Catalin Fetita,

Télécom SudParis (France); Weijie Chen, U.S. Food and Drug Administration (USA)

8:00 am: Dense volumetric detec-tion and segmentation of medi-astinal lymph nodes in chest CT images, Hirohisa Oda, Holger R. Roth, Nagoya Univ. (Japan); Kanwal K. Bhatia, King’s College London (UK); Masahiro Oda, Nagoya Univ. (Japan); Takayuki Kitasaka, Aichi Institute of Technology (Japan); Shingo Iwano, Nagoya Univ. (Japan); Hirotoshi Homma, Sapporo Kosei Hospital (Japan); Hirotsugu Takabatake, Minami Sanjyo Hospi-tal (Japan); Masaki Mori, Sapporo Kosei Hospital (Japan); Hiroshi Natori, Keiwakai Nishioka Hospital (Japan); Julia A. Schnabel, Univ. of Oxford (UK); Kensaku Mori, Nagoya Univ. (Japan) . . . . . . . . . . [10575-1]

8:20 am: Early detection of lung cancer recurrence after stereo-tactic ablative radiation therapy: radiomics system design, Salma Dammak, London Regional Cancer Program (Canada); David Palma, Western Univ. (Canada) and London Regional Cancer Program (Canada); Sarah Mattonen, Stanford Univ. School of Medicine (USA); Suresh Senan, Vrije Univ. Medical Ctr. (Netherlands); Aaron D. Ward, Western Univ. (Canada) and Lon-don Regional Cancer Program (Canada) . . . . . . . . . . . . . [10575-2]

8:40 am: Pneumothorax detection in chest radiographs using con-volutional neural network, Aviel Blumenfeld, Tel Aviv Univ. (Israel); Eli Konen, The Chaim Sheba Medical Ctr., Tel Hashomer (Israel); Hayit Greenspan, Tel Aviv Univ. (Israel) . . . . . . . . . . . [10575-3]

SESSION 5ROOM: SALON A . . . . MON 8:00 AM

TO 9:40 AM

Model Observers 1Session Chairs:

Matthew A. Kupinski, College of Optical Sciences, The Univ.

of Arizona (USA); Ljiljana Platiša, Univ. Gent (Belgium)

8:00 am: Correlation between model observers in uniform background and human observer in patient liver background in a low-contrast detection task in CT, Hao Gong, Lifeng Yu, Shuai Leng, Cynthia H. McCollough, Mayo Clinic (USA) . . . . . [10577-21]

8:20 am: Lesion detection performance of cone beam CT images with anatomical noise background: single slice vs multi-slice human and model observer study, Minah Han, Hanjoo Jang, Jongduk Baek, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . [10577-22]

8:40 am: A practical method to evaluate personalized injected patient dose for cardiac perfusion SPECT imaging: the polar map as a numerical observer, P. Hendrik Pretorius, Karen L. Johnson, Michael A. King, Univ. of Massachusetts Medical School (USA) . . . . . . . . . . . . . . . [10577-23]

9:00 am: Parameter selection with the hotelling observer in linear iterative image reconstruction for breast tomosynthesis, Sean D. Rose, The Univ. of Chicago Medical Ctr. (USA); Jacob Roth, Univ. of Chicago Medical Ctr. (USA); Cole Zimmerman, The Univ. of Chicago Medical Ctr. (USA); Ingrid Reiser, Univ. of Chicago Medical Ctr. (USA); Emil Y. Sidky, Xiaochuan Pan, The Univ. of Chicago Medical Ctr. (USA) . . . . . . . . . . . [10577-24]

SESSION 5ROOM: MONTROSE

MON 8:00 AM TO 9:40 AM

Novel Imaging Techniques and Applications

Session Chairs: Ciprian N. Ionita, Toshiba Stroke and

Vascular Research Ctr. (USA); Andrzej Krol, SUNY Upstate

Medical Univ. (USA)

8:00 am: Use of material decom-position in context of neurovas-cular intervention using standard flat panel and high-resolution CMOS detectors, Alexander R. Podgorsak, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Ashwin C. Venkataraman, Setlur S. V. Nagesh, Daniel R. Bednarek, Toshiba Stroke and Vascular Research Ctr. (USA); Stephen Rudin, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Adnan Siddiqui, Toshiba Stroke and Vascular Research Ctr. (USA); Cip-rian N. Ionita, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA) . . . [10578-20]

8:20 am: Super-resolution ultra-sound imaging with Gaussian fitting method and plane wave transmission, Yuexia Shu, Minglei Lv, Ying Liu, Zhuangzhi Yan, Jiehui Jiang, Xin Liu, Shanghai Univ. (China) . . . . . . . . . . . . . . [10578-21]

8:40 am: A simulation platform using 3D printed neurovascu-lar phantoms for clinical utility evaluation of new imaging tech-nologies, Swetadri Vasan Setlur Nagesh, Jessica Hinaman, Kelsey Sommer, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . [10578-22]

SESSION 5ROOM: RIVER OAKS


Precision Medicine and Grading

8:00 am: RaPtomics: integrating radiomic and pathtomic features for predicting recurrence in early stage lung cancer, Pranjal Vaidya, Xiangxue Wang, Kaustav Bera, Haojia Li, Anant Madabhushi, Case Western Reserve Univ. (USA) . . . . . . . . . . . . . . . [10581-21]

8:20 am: Deformable registration of histological cancer margins to gross hyperspectral images using demons, Martin Halicek, Georgia Institute of Technology (USA); James V. Little, Xu Wang, Mihir R. Patel, Christopher C. Griffith, Amy Y. Chen, Emory Univ. School of Medicine (USA); Baowei Fei, Emory Univ. (USA) . . . . . . . . . . [10581-22]

8:40 am: Localization and classifi-cation of cell nuclei in post-neo-adjuvant breast cancer surgical specimen using fully convolution-al networks, Rene Bidart, Univ. of Waterloo (Canada); Mehrdad J. Gangeh, Mohammad Peikari, Sher-ine Salama, Sharon Nofech-Mozes, Univ. of Toronto (Canada); Anne L. Martel, Sunnybrook Research Insti-tute, Univ. of Toronto (Canada); Ali Ghodsi, Univ. of Waterloo (Canada) [10581-23]

9:00 am: Context-based interpo-lation of coarse deep learning prediction maps for the segmen-tation of fine structures in immu-nofluorescence images, Nicolas Brieu, Definiens AG (Germany); Christos Gavriel, Peter Caie, School of Medicine, Univ. of St. Andrews (UK); Günter Schmidt, Definiens AG (Germany) . . . . . . . . . . . [10581-24]

10573 continues on page 32 Æ 10574 continues on page 32 Æ 10575 continues on page 31 Æ 10577 continues on page 31 Æ 10578 continues on page 31 Æ 10581 continues on page 31 Æ

CONFERENCE 10578


CONFERENCE 10581

ROOM: RIVER OAKS Sun.–Mon. 11–12 Feb. 2018


CONFERENCE 10573


CONFERENCE 10574


CONFERENCE 10575


CONFERENCE 10577


RECOGNIZE THE EXTRAORDINARY

Honor someone who has made a difference. Nominate a teacher,

colleague, or mentor for an SPIE Award.

THE

IN

TERNATIONAL SOCIETYCONNECTING

MINDS

FOR

OPTICS AND PHOTONICSA

DVA N CIN G LIGHT

Deadline for nominations is 1 June 2018


MONDAY 12 FEBRUARY

SESSION 1 CONTINUEDROOM: HUNTERS CREEK . . . . MON

8:00 AM TO 9:40 AM

9:00 am: Boosting CNN perfor-mance for lung texture classifi-cation using connected filtering, Sebastian Roberto Tarando, Catalin Fetita, Télécom SudParis (France); Hyoun Cho, Pitié-Salpêtrière Hospital (France); Pierre-Yves Brillet, Avicenne Hospital (France) . . . . . . . . . . . . . . [10575-4]

9:20 am: Automatic liver volume seg-mentation and fibrosis classification, Evgeny Bal, Tel Aviv Univ . (Israel); Eyal Klang, Michal Amitai, The Chaim Sheba Medical Ctr ., Tel Hashomer (Israel); Hayit Greenspan, Tel Aviv Univ . (Israel) . . . . . . . . . . . . . . [10575-5]

Coffee Break . . . . Mon 9:40 to 10:10 am

SESSION 5 CONTINUEDROOM: SALON A . . . . MON 8:00 AM

TO 9:40 AM

9:20 am: A deep learning model observer for use in alternative forced choice virtual clinical tri-als, Majdi Alnowami, Univ . of Surrey (UK) and King Abdulaziz Univ . (Saudi Arabia); G . Mills, Muhammad Awais, Univ . of Surrey (UK); Prem Elangovan, Mishal Patel, Mark D . Halling-Brown, The Royal Surrey County Hospital NHS Trust (UK); Kenneth Young, David R . Dance, The Royal Surrey County Hospital NHS Trust (UK) and Univ . of Surrey (UK); Kevin Wells, Univ . of Surrey (UK) . . . . . . . . . . . . . . . . [10577-25]

Coffee Break . . Mon 9:40 to 10:10 am

SESSION 5 CONTINUEDROOM: MONTROSE


9:00 am: A balanced super-reso-lution optical fluctuation imaging method for super-resolution ultrasound, Minglei Lv, Yuexia Shu, Ying Liu, Zhuangzhi Yan, Xin Liu, Shanghai Univ . (China) . [10578-23]

9:20 am: Sparse-view CT recon-struction with improved Goo-gLeNet, Shipeng Xie, Nanjing Univ . of Posts and Telecommunications (China) . . . . . . . . . . . . . . [10578-24]


SESSION 5 CONTINUEDROOM: RIVER OAKS


9:20 am: Automatic cancer detection and localization on prostatectomy histopathology images, Wenchao Han, Univ . of Western Ontario (Canada); Carol Johnson, London Health Science Ctr . (Canada); Mena Gaed, José Gomez, Madeleine Moussa, Joseph Chin, Stephen Pautler, Glenn Bau-man, Aaron D . Ward, Western Univ . (Canada) . . . . . . . . . . . . . [10581-25

Awards AnnouncementsROOM: RIVER OAKS 9:40 AM TO 9:45 AM

The Digital Pathology conference RFW runners up and poster award recipients

will be recognized and certificates distributed .

CONFERENCE 10581 ENDS



Sun.–Tues. 11–13 Feb. 2018



Mon.–Thurs. 12–15 Feb. 2018


Sun.–Tues. 11–13 Feb. 2018

CONFERENCE 10575ROOM: HUNTERS CREEK Mon.–Thurs. 12–15 Feb. 2018


Sun.–Mon. 11–12 Feb. 2018

MONDAY 12 FEBRUARY


SESSION 2ROOM: SALON C .MON 10:10 AM TO 12:10 PM

Breast PhantomsSession Chairs: Anders Tingberg,

Lund Univ. (Sweden); Despina Kontos, Univ. of Pennsylvania (USA)

10:10 am: Evaluation of statistical breast phantoms with higher resolution and enhanced features, Jayasai Rajagopal, Gregory M. Sturgeon, Xinyuan C. Chen, Thomas J. Sauer, Yinhao Ren, William P. Segars, Joseph Y. Lo, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . .[10573-6]

10:30 am: Anthropomorphic breast phantoms for evaluation of FFDM/DBT and breast CT using inkjet printing, Lynda C. Ikejimba, Jesse Salad, Andrei Makeev, Christian Graff, Bahaa Ghammraoui, Stephen J. Glick, U.S. Food and Drug Administration (USA) . . . . . . . . . . .[10573-7]

10:50 am: Improved simulation of Cooper’s ligaments in breast phantoms, David D. Pokrajac, Delaware State Univ. (USA); Marko D. Petkovic, Univ. of Nis (Serbia); Andrew D. A. Maidment, Predrag R. Bakic, The Univ. of Pennsylvania Health System (USA) . . . . . . . . . . . . . . . .[10573-8]

11:10 am: Development of a physical 3D anthropomorphic breast texture model using selective laser sintering rapid prototype printing, James Mainprize, Sunnybrook Research Institute (Canada); Ann-Katherine Carton, Remy Klausz, Zhijin Li, Serge L. Muller, GE Healthcare France (France); David M. Hunter, Martin J. Yaffe, Sunnybrook Research Institute (Canada) . . . . . . . . . . . . . . . . . . . .[10573-9]

SESSION 6ROOM: SALON B .MON 10:10 AM TO 12:10 PM

Keynote and Highlights10:10 am: From Image Processing and 3D Computer Vision to Computational Brain Imaging: A Journey through Modelling and Geometry (Keynote Presentation), Rachid Deriche, INRIA Sophia Antipolis - Méditerranée (France) . . . .[10574-28]

11:10 am: Foveal fully convolutional nets for multi-organ segmentation, Tom Brosch, Axel Saalbach, Philips Research (Germany) . . . . . . . . . . . . . . . . . .[10574-29]

11:30 am: A novel framework for the local extraction of extra-axial cerebrospinal fluid from MR brain images, Mahmoud Mostapha, Mark D. Shen, SunHyung Kim, Meghan Swanson, The Univ. of North Carolina at Chapel Hill (USA); Louis Collins, Vladimir Fonov, Montreal Neurological Institute and Hospital (Canada); Guido Gerig, New York Univ. (USA); Joseph Piven, Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA) . . . .[10574-30]

11:50 am: A statistical model for image registration performance: effect of tissue deformation, Michael D. Ketcha, Tharindu De Silva, Runze Han, Ali Uneri, Matthew W. Jacobson, Johns Hopkins Univ. (USA); Sebastian Vogt, Gerhard Kleinszig, Siemens Healthineers (Germany); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10574-31]

Lunch Break . . . Mon 12:10 pm to 1:20 pm

SESSION 2ROOM: HUNTERS CREEK . . MON 10:10 AM TO

12:10 PM

RadiomicsSession Chairs: Maryellen L. Giger,

The Univ. of Chicago (USA); Thomas Martin Deserno, Technische

Univ. Braunschweig (Germany)

10:10 am: Association of high proliferation marker Ki-67 expression with DCE-MR imaging features of breast: a large scale evaluation, Ashirbani Saha, Michael R. Harowicz, Lars J. Grimm, Connie E. Kim, Ruth Walsh, Sujata V. Ghate, Maciej A. Mazurowski, Duke Univ. (USA) .[10575-6]

10:30 am: Detecting mammographically-occult cancer in women with dense breasts using radon cumulative distribution transform: a preliminary analysis, Juhun Lee, Robert M. Nishikawa, Univ. of Pittsburgh (USA); Gustavo K. Rohde, Univ. of Virginia (USA) . . . .[10575-7]

10:50 am: Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniques, Saima Rathore, Univ. of Pennsylvania (USA); Spyridon Bakas, Hamed Akbari, Ctr. for Biomedical Image Computing and Analytics, Univ. of Pennsylvania (USA); Gaurav Shukla, Thomas Jefferson Univ. (USA); Martin Rozycki, Christos Davatzikos, Ctr. for Biomedical Image Computing and Analytics, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . . .[10575-8]

11:10 am: Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths, Heather Whitney, Wheaton College (USA) and The Univ. of Chicago (USA); Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger, The Univ. of Chicago (USA) . . . . . . . . . . . . . .[10575-9]

SESSION 6ROOM: SALON A . . MON 10:10 TO 11:50 AM

Model Observers 2Session Chairs: Howard C. Gifford,

Univ. of Houston (USA); Ingrid S. Reiser, The Univ. of Chicago (USA)

10:10 am: Towards a surround-aware numerical observer, Ali Avanaki, Barco, Inc. (USA) . . . . . . . . . . . . . . . . . . .[10577-26]

10:30 am: Feasibility of using convolutional neural networks as model observer, Felix K. Kopp, Klinikum rechts der Isar der Technischen Univ. München (Germany); Marco Catalano, Univ. degli Studi di Napoli Federico II (Italy); Daniela Münzel, Klinikum rechts der Isar der Technischen Univ. München (Germany) and Technische Univ. München (Germany); Ernst J. Rummeny, Klinikum rechts der Isar der Technischen Univ. München (Germany); Peter B. Noël, Klinikum rechts der Isar der Technischen Univ. München (Germany) and Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . .[10577-27]

10:50 am: Observer templates in 2D and 3D localization tasks, Craig K. Abbey, Miguel A. Lago, Univ. of California, Santa Barbara (USA) . . . . . . . . . . . . . . .[10577-28]

11:10 am: Reducing the number of reconstructions needed for estimating channelized observer performance, Angel R. Pineda, Hope Miedema, Melissa Brenner, Sana Altaf, Manhattan College (USA) . . . . . . . . . . . . . . . . . . . . . .[10577-29]

11:30 am: A resampling comparison of CHO’s detectability index bias and uncertainty, Francesc Massanes, Illinois Institute of Technology (USA); Alexandre Ba, François Bochud, Institut Univ. de Radiophysique Appliquée (Switzerland); Jovan G. Brankov, Illinois Institute of Technology (USA) . . . . . . . . . . . .[10577-30]


SESSION 6ROOM: MONTROSE . . . . MON 10:10 AM TO

12:10 PM

Innovations in Image ProcessingSession Chairs: Ciprian N. Ionita,

Toshiba Stroke and Vascular Research Ctr. (USA); Armando Manduca, Mayo

Clinic (USA)

10:10 am: Detection of bone loss via subchondral bone texture analysis, Jean-Baptiste Vimort, Kitware, Inc. (USA); Antonio Carlos Ruellas, Univ. of Michigan (USA); J.S. Marron, The Univ. of North Carolina at Chapel Hill (USA); Hina Shah, Kitware, Inc. (USA); Lucia Cevidanes, Erika Benavides, Univ. of Michigan (USA); Beatriz Paniagua, Kitware, Inc. (USA) . . .[10578-25]

10:30 am: Automated quality control and semantic segmentation for high-resolution microendoscopy of oral premalignant lesions using a CNN-based algorithm, Eric Yang, Rice Univ. (USA); David Brenes, Duke Univ. (USA); Nadarajah Vigneswaran, The Univ. of Texas Health Science Ctr. at Houston (USA) and The Univ. of Texas School of Dentistry (USA); Ann M. Gillenwater, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Rebecca R. Richards-Kortum, Rice Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-26]

10:50 am: In vivo metabolic imaging of early stage oral cancer and dysplasia based on autofluorescence lifetime endoscopy, Elvis Duran, DaeYon Hwang, Shuna Cheng, Rodrigo Cuenca, Bilal Malik, Kristen C. Maitland, Texas A&M Univ. (USA); John Wright, Y.S. Lisa Cheng, Texas A&M Univ. College of Dentistry (USA); Beena Ahmed, Texas A&M Univ. at Qatar (Qatar); Javier A. Jo, Texas A&M Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-27]

11:10 am: A structural connectivity approach to validate a model-based technique for the segmentation of the pulvinar complex, Srijata Chakravorti, Vanderbilt Univ. (USA); Victoria L. Morgan, Paula Trujillo Diaz, Vanderbilt Univ. Medical Ctr. (USA); Raul Wirz Gonzalez, Benoit M. Dawant, Vanderbilt Univ. (USA) . .[10578-28]



Sun.–Tues. 11–13 Feb. 2018





Sun.–Tues. 11–13 Feb. 2018



Sun.–Mon. 11–12 Feb. 2018

MONDAY 12 FEBRUARY


SESSION 2 CONTINUEDROOM: SALON C .MON 10:10 AM TO 12:10 PM

11:30 am: Design and validation of biologically-inspired spiculated lesion models utilising structural tissue distortion, P. Elangovan, The Royal Surrey County Hospital NHS Trust (UK); E. Mihalas, Univ. of Surrey (UK); Majdi R. Alnowami, Univ. of Surrey (UK) and Univ. of King Abdulaziz (Saudi Arabia); Kenneth C. Young, The Royal Surrey County Hospital NHS Trust (UK) and Univ. of Surrey (UK); David R. Dance, Univ. of Surrey (UK) and The Royal Surrey County Hospital NHS Trust (UK); V. Cooke, Jarvis Breast Screening and Diagnostic Ctr. (UK); Louise Wilkinson, St George’s Healthcare NHS Trust (UK); Rosalind M. Given-Wilson, St George’s Healthcare NHS Trust (UK); Matthew G. Wallis, Cambridge Univ. Hospitals NHS Foundation Trust (UK); Kevin Wells, Univ. of Surrey (UK) . . . . .[10573-10]

11:50 am: 3D printed anthropomorphic physical phantom for mammography and DBT with high contrast custom materials, lesions and uniform chest wall region, Andrea Rossman, Duke Univ. (USA) and Duke Univ. Medical Ctr. (USA) and Carl E. Ravin Advanced Imaging Labs. (USA); Matthew Catenacci, Duke Univ. (USA); Anne M. Li, Duke Univ. (USA) and Duke Univ. Medical Ctr. (USA) and Carl E. Ravin Advanced Imaging Labs. (USA); Thomas J. Sauer, Justin B. Solomon, Duke Univ. Medical Ctr. (USA) and Carl E. Ravin Advanced Imaging Labs. (USA); Michael E. Gehm, Benjamin J. Wiley, Duke Univ. (USA); Ehsan Samei, Duke Univ. Medical Ctr. (USA) and Carl E. Ravin Advanced Imaging Labs. (USA) and Duke Univ. (USA); Joseph Y. Lo, Duke Univ. Medical Ctr. (USA) and Carl E. Ravin Advanced Imaging Labs. (USA) and Duke Unv. (USA). . . . .[10573-11]


SESSION 2 CONTINUEDROOM: HUNTERS CREEK . . MON 10:10 AM TO

12:10 PM

11:30 am: An empirical evaluation of cross-site variability in radiomic features for characterizing prostate MRI appearance, Prathyush Chirra, Case Western Reserve Univ. (USA); Nicolas B. Bloch, Boston Univ. (USA); Masoom Haider, Sunnybrook Health Sciences Ctr. (Canada); Ardeshir Rastinehead, Icahn School of Medicine at Mount Sinai (USA); Andrei Purysko, Cleveland Clinic (USA); Anant Madabhushi, Satish E. Viswanath, Case Western Reserve Univ. (USA) . . .[10575-10]

11:50 am: A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI, Kavya Ravichandran, Massachusetts Institute of Technology (USA) and Case Western Reserve Univ. (USA); Nathaniel Braman, Andrew Janowczyk, Anant Madabhushi, Case Western Reserve Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-11]


SESSION 6 CONTINUEDROOM: MONTROSE . . . . MON 10:10 AM TO

12:10 PM

11:30 am: Segmentation of myocardial scar on 3D LGE-MRI using a continuous max-flow based approach, Fatma Usta, Wail Gueaieb, Univ. of Ottawa (Canada); James A. White, Univ. of Calgary (Canada); Eranga Ukwatta, Carleton Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10578-29]

11:50 am: Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation, Takaaki Sugino, Holger R. Roth, Masahiro Oda, Nagoya Univ. (Japan); Seiji Omata, Shinya Sakuma, Fumihito Arai, Nagoya Univ. Graduate School of Engineering (Japan); Kensaku Mori, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . . .[10578-30]




Sun.–Tues. 11–13 Feb. 2018





Sun.–Tues. 11–13 Feb. 2018



Sun.–Mon. 11–12 Feb. 2018

MONDAY 12 FEBRUARY


SESSION 3ROOM: SALON C .MON 1:20 PM TO 3:40 PM

TomosynthesisSession Chairs: Ioannis

Sechopoulos, Radboud Univ. Medical Ctr. (Netherlands); John M. Sabol,

GE Healthcare (USA)

1:20 pm: Geometric calibration for a next-generation digital breast tomosynthesis system using virtual line segments, Chloe J. Choi, Applied Research Lab. (USA); Trevor L. Vent, Raymond J. Acciavatti, Andrew D. A. Maidment, Univ. of Pennsylvania (USA) . . . . . . . . . . .[10573-12]

1:40 pm: Stationary digital intraoral tomosynthesis: demonstrating the clinical potential of the first-generation system, Connor Puett, Christina R. Inscoe, Robert Hilton, Angela Broome, Andre Mol, Enrique Platin, Jianping Lu, Otto Zhou, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-13]

2:00 pm: Application of three-pass metal artifact reduction to photon-counting breast tomosynthesis, Harald S. Heese, Frank Bergner, Klaus Erhard, Philips Research (Germany) . . . . . . . . . .[10573-14]

2:20 pm: Parallel-shift tomosynthesis for orthopedic applications, Christoph Luckner, Siemens Healthineers (Germany) and Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Stefan Sesselmann, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Thomas Mertelmeier, Siemens Healthineers (Germany); Andreas Maier, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Ludwig Ritschl, Siemens Healthineers (Germany) [10573-15]

2:40 pm: Investigating the contributions of quantum and anatomical noise to image texture in DBT, William H. Nisbett, Amareswararo Kavuri, Mini Das, Univ. of Houston (USA) . . . . . . . . . . . . . . .[10573-16]

3:00 pm: Initial clinical evaluation of gated stationary digital chest tomosynthesis, Yueh Lee, Elias T. Gunnell, Christina R. Inscoe, Connor Puett, Jianping Lu, Otto Zhou, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . .[10573-17]

SESSION 7ROOM: SALON B .MON 1:20 PM TO 3:40 PM

fMRI and DTI1:20 pm: SHARD: spherical harmonic-based robust outlier detection for HARDI methods, Vishwesh Nath, Vanderbilt Univ. (USA); Kurt G. Schilling, Allison E. Hainline, Prasanna Parvathaneni, Justin A. Blaber, Ilwoo Lyu, Adam W. Anderson, Hakmook Kang, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-32]

1:40 pm: Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder, Adora M. DSouza, Anas Z. Abidin, Udaysankar Chockanathan, Univ. of Rochester (USA); Axel Wismüller, Univ. of Rochester Medical Ctr. (USA) . . .[10574-33]

2:00 pm: Tensor-based vs. matrix-based rank reduction in dynamic brain connectivity, Fatemeh Mokhtari, Rhiannon Mayhugh, Christina Hugenschmidt, Wake Forest School of Medicine (USA); Jack Rejeski, Wake Forest Univ. (USA); Paul Laurienti, Wake Forest School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-34]

2:20 pm: Extrapolated nonnegative decompositions for the analysis of functional connectivity, Nicolas Honnorat, Univ. of Pennsylvania (USA) . . . .[10574-35]

2:40 pm: Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI, Fangxu Xing, Massachusetts General Hospital (USA); Jerry L. Prince, Johns Hopkins Univ. (USA); Maureen Stone, Univ. of Maryland School of Dentistry (USA); Timothy Reese, Van Wedeen, Georges El Fakhri, Jonghye Woo, Massachusetts General Hospital (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-36]

3:00 pm: TRAFIC: fiber tract classification using deep learning, Juan Carlos Prieto, Prince D. Ngattai, Gaetan Belhomme, Jessica Ferrall, Billie Patterson, Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . .[10574-37]

SESSION 7ROOM: SALON A .MON 1:20 PM TO 3:00 PM

Observer Performance Evaluation 2

Session Chairs: Mark F. McEntee, The Univ. of Sydney (Australia);

Yan Chen, Loughborough Univ. (UK)

1:20 pm: Reader performance in visual assessment of breast density using visual analogue scales: are some readers more predictive of breast cancer?, Millicent Rayner, Elaine F. Harkness, The Univ. of Manchester (UK); Philip Foden, Univ. Hospital of South Manchester (UK); Anthony Howell, Univ. of Manchester (UK); Gareth Evans, Manchester Breast Ctr. (UK); Susan M. Astley, The Univ. of Manchester (UK) . . . . . . . . . . . . . . . . . . . . . . .[10577-31]

1:40 pm: Interactions of lesion detectability and size across single-slice DBT and 3D DBT, Miguel A. Lago, Craig K. Abbey, Univ. of California, Santa Barbara (USA); Predrag R. Bakic, Andrew D. A. Maidment, Susan P. Weinstein, The Univ. of Pennsylvania Health System (USA); Miguel P. Eckstein, Univ. of California, Santa Barbara (USA) . . . . . . . . . . . . . . .[10577-32]

2:00 pm: Lesion classification with a visual-search model observer, Kheya Banerjee, Howard C. Gifford, Univ. of Houston (USA) . . . . . . . . . . . . . . .[10577-33]

2:20 pm: A citizen science approach to optimising computer aided detection (CAD) in mammography, Georgia V. Ionescu, The Univ. of Manchester (UK); Elaine F. Harkness, The Univ. of Manchester (UK) and Univ. Hospital of South Manchester (UK); Johan Hulleman, The Univ. of Manchester (UK); Susan M. Astley, The Univ. of Manchester (UK) and Univ. Hospital of South Manchester (UK) . . . . . . . . . . . . . . . . . . . . . . .[10577-34]

2:40 pm: Can a limited double reading/second opinion of initially recalled breast ultrasound screening examinations improve radiologists’ performances?, David Gur, Kimberly Harnist, Jamie Hartman, Terri-Ann Gizienski, Margarita L. Zuley, Christiane M. Hakim, Amy H. Lu, Jules H. Sumkin, Univ. of Pittsburgh (USA) . . . . . . . . . . . . . . . . . . . . . .[10577-35]

SESSION 7ROOM: MONTROSE . . . . . MON 1:20 PM TO

3:40 PM

OpticalSession Chairs: Xavier Intes,

Rensselaer Polytechnic Institute (USA); Baohong Yuan, The Univ. of

Texas at Arlington (USA)

1:20 pm: Impact of pneumatic compression therapy on lymphatics in head and neck lymphedema, John C. Rasmussen, Melissa B. Aldrich, Banghe Zhu, J. Rodney Morrow, Carolina Guitierrez, Syed Naqvi, Rod J. Karni, Eva M Sevick-Muraca, The Univ. of Texas Health Science Ctr. at Houston (USA) . . . . . . . . .[10578-31]

1:40 pm: Optical detection of oral carcinoma via structured illumination fluorescence lifetime imaging, Taylor Hinsdale, Shuna Cheng, Texas A&M Univ. (USA); Bilal Malik, QT Ultrasound LLC (USA); Javier A. Jo, Kristen C. Maitland, Texas A&M Univ. (USA) . . . . . . . .[10578-32]

2:00 pm: Evaluation of chemotherapeutic response of temozolomide in orthotopic glioma using bioluminescence tomography, Li Li, Soochow Univ. (China); Jinzuo Ye, Yang Du, Institute of Automation, Chinese Academy of Sciences (China); Xinjian Chen, Soochow Univ. (China); Jie Tian, Institute of Automation, Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . . . . . .[10578-33]

2:20 pm: Dynamic cone beam x-ray luminescence computed tomography with principal component analysis, Peng Gao, Hongbing Lu, Fourth Military Medical Univ. (China) . . . . . . . . . . . . . . . .[10578-34]

2:40 pm: A fast reconstruction algorithm for fluorescence molecular tomography via multipath subspace pursuit method, Hao Xuan Ni, Soochow Univ. (China); Du Yang, Jingzuo Ye, Jie Tian, Institute of Automation, Chinese Academy of Sciences (China); Chen Xinjian, Soochow Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10578-35]

3:00 pm: Optical tomographic reconstruction using Isogeometric analysis: an optimal solution of the inverse problem, Vahid Bateni, Virginia Polytechnic Institute and State Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-36]


SESSION 3ROOM: HUNTERS CREEK . . . . MON 1:20 PM

TO 3:40 PM

Brain ISession Chairs: Matthew S. Brown,

Univ. of California, Los Angeles (USA); Khan M. Iftekharuddin, Old

Dominion Univ. (USA)

1:20 pm: Deep learning and texture based semantic label fusion for brain tumor segmentation, Mahbubul Alam, Lasitha S. Vidyaratne, Zeina Shboul, Khan M. Iftekharuddin, Old Dominion Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-12]

1:40 pm: Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks, Behrouz Saghafi, Gowtham Krishnan Murugesan, Elizabeth Davenport, Ben Wagner, Univ. of Texas Southwestern Medical Ctr. (USA); Jillian Urban-Hobson, Mireille Kelley, Derek Jones, Alexander Powers, Christopher Whitlow, Joel Stitzel, Wake Forest School of Medicine (USA); Joseph Maldjian, Albert Montillo, Univ. of Texas Southwestern Medical Ctr. (USA) . . . . . . . . . . . .[10575-13]

2:00 pm: Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players, Gowtham Krishnan Murugesan, Behrouz Saghafi, Elizabeth Davenport, Ben Wagner, Univ. of Texas Southwestern Medical Ctr. (USA); Jillian Urban-Hobson, Mireille Kelley, Derek Jones, Alexander Powers, Christopher Whitlow, Joel Stitzel, Wake Forest School of Medicine (USA); Joseph Maldjian, Albert Montillo, Univ. of Texas Southwestern Medical Ctr. (USA) [10575-14]

2:20 pm: Gaussian processes with optimal kernel construction for neuro-degenerative clinical onset prediction, Liane Canas, Benjamin Yvernault, David M. Cash, Erika Molteni, Tom Veale, Univ. College London (UK); Tammie Benzinger, Washington Univ. School of Medicine in St. Louis (USA); Sébastien Ourselin, Simon Mead, Marc Modat, Univ. College London (UK) . . . . . . . . . . . . . . . . . . . . . . .[10575-15]

CONFERENCE 10578



CONFERENCE 10573


CONFERENCE 10574


CONFERENCE 10575


CONFERENCE 10577


CONFERENCE 10576

ROOM: SALON FMon.–Thurs. 12–15 Feb. 2018

MONDAY 12 FEBRUARY


SESSION 3 CONTINUEDROOM: SALON C . . . . MON 1:20 PM

TO 3:40 PM

3:20 pm: Application of neural networks to model the signal-de-pendent noise of a digital breast tomosynthesis unit, Fabrício A. Brito, Lucas R. Borges, Igor Guer-rero, Univ. de São Paulo (Brazil); Andrew D. A. Maidment, Predrag R. Bakic, The Univ. of Pennsylvania Health System (USA); Marcelo A. C. Vieira, Univ. de São Paulo (Brazil) . . . . . . . . . [10573-18]

Coffee Break . Mon 3:40 to 4:00 pm

SESSION 7 CONTINUEDROOM: SALON B . . . . .MON 1:20 TO

3:40 PM

3:20 pm: Evaluation of inter-site bias and variance in diffu-sion-weighted MRI, Allison E. Hainline, Vishwesh Nath, Prasanna Parvathaneni, Justin A. Blaber, Baxter Rogers, Allen T. Newton, Vanderbilt Univ. (USA); Jeffrey Luci, The Univ. of Texas at Austin (USA); Heidi Edmonson, Mayo Clinic (USA); Hakmook Kang, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . [10574-38]


Award AnnouncementsROOM: SALON C

3:00 PM TO 3:05 PM

The Image Perception, Observer Performance, and Technology Assessment conference RFW runners up and poster award

recipients will be recognized and certificates distributed.

SESSION 7 CONTINUEDROOM: MONTROSE

MON 1:20 PM TO 3:40 PM

3:20 pm: Comparison of accuracy of 3D airway geometry models from aOCT and CT, Hillel B. Price, Ruofei Bu, Amy Oldenburg, Julia Kimbell, The Univ. of North Carolina at Chapel Hill (USA) . . . . [10578-37]


Awards and Plenary SessionMONDAY 12 FEBRUARY 2018 • 4:00 TO 5:30 PM • LOCATION: SALON F

4:00 pm Welcome and new SPIE Fellows Acknowledgements

4:10 pm Best Student Paper Awards Announcements The first place winner and runner up of the Robert F. Wagner

All-Conference Student Paper Award will be announced.

4:30 pm PLENARY PRESENTATION Multidisciplinary Computational Anatomy:

Concept and Clinical Application

Makoto Hashizume, Graduate School of Medical Sciences, Kyushu University (Japan)

CONFERENCE 10577 ENDS

SESSION 7 CONTINUEDROOM: SALON A . . . . MON 1:20 PM

TO 3:00 PM

Univ. of Texas MD Anderson Image-Guided Cancer

Therapy Facilities Reception and Tour

Join your colleagues on a guided tour of the MD Anderson image-guided cancer therapy facilities, including an MR-LINAC and CT-guided interventional suites. Get a first-hand look at how advances have shaped the treatment and outcomes of various cancers.

Bus transportation provided by MD Anderson.

Departing the Marriott Marquis at 5:45 pm, returning by 9:00 pm - must have ticket to board.

Tour tickets are available at the SPIE registration desk. Tickets are complimentary and are first come, first served. Seating is limited.


SESSION 3 CONTINUEDROOM: HUNTERS CREEK . . . . MON

1:20 PM TO 3:40 PM

2:40 pm: MRI textures as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma, Patrick Langenhui-zen, Technische Univ. Eindhoven (Netherlands) and TweeSteden Ziekenhuis (Netherlands); Mark Legters, Svetlana Zinger, Tech-nische Univ. Eindhoven (Neth-erlands); Jeroen Verheul, Sieger Leenstra, TweeSteden Ziekenhuis (Netherlands); Peter N. de With, Technische Univ. Eindhoven (Neth-erlands) . . . . . . . . . . . . . [10575-16]

3:00 pm: ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imag-ing data, Xiaonan Liu, Arizona State Univ. (USA); Kewei Chen, Banner Alzheimer’s Institute (USA); Teresa Wu, Arizona State Univ. (USA); David Weidman, Banner Alzhei-mer’s Institute (USA); Fleming Lure, MS Technologies Corp. (USA); Jing Li, Arizona State Univ. (USA) . . . . . . . . . . . . . . . [10575-17]

3:20 pm: Longitudinal connec-tome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity, Luca Giancardo, The Univ. of Texas Health Science Ctr. at Houston (USA); Timothy Ellmore, The City College of New York (USA); Jessika S. Ocampo, The Univ. of Texas Health Science Ctr. at Houston (USA); Laura Ocasio, Memorial Hermann Texas Medical Ctr. (USA); Arash Kamali, Roy Riascos-Cas-taneda, Mya C. Schiess, The Univ. of Texas Health Science Ctr. at Houston (USA) . . . . . . . . [10575-18]



EnhancementMulti-grid non-local techniques for scatter correction, Yingying Gu, Jun Zhang, Univ. of Wisconsin-Milwaukee (USA); Ping Xue, GE Healthcare (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-59]

A denoising algorithm for CT using low-rank sparse coding, Yang Lei, Xiaofeng Yang, Emory Univ. (USA) . . . . . . .[10574-60]

A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images, Shinkook Choi, Jongduk Baek, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . .[10574-61]

CT artifact reduction via U-net CNN, Chengzhu Zhang, Yuxiang Xing, Tsinghua Univ. (China) . . . . . . . . . . . . . . . .[10574-62]

CONFERENCE 10574Image Processing

POSTERS — MONDAYAutomatic segmentation of thoracic aorta segments in low-dose chest CT, Julia Noothout, Bob de Vos, Jelmer Wolterink, Ivana Isgum, Univ. Medical Ctr. Utrecht (Netherlands) . . . . . . . . .[10574-63]

Fast super resolution with iterative guided back projection for 3D MR images, Yutaro Iwamoto, Ritsumeikan Univ. (Japan); Xian-Hua Han, Yamaguchi Univ. (Japan); Akihiko Shiino, Shiga Univ. of Medical Science (Japan); Yen-Wei Chen, Ritsumeikan Univ. (Japan) . . . . . .[10574-64]

Machine LearningAutomatic localization and segmentation of optical disk based on faster R-CNN and level set in fundus image, Defeng Zhang, Soochow Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10574-65]

Circle-like foreign element detection in chest x-rays using normalized cross-correlation and unsupervised clustering, Fatema T. Zohora, The Univ. of South Dakota (USA); Sameer Antani, National Library of Medicine (USA); KC Santosh, The Univ. of South Dakota (USA) . . . .[10574-66]

Orientation regression in hand radiographs: a transfer learning approach, Ivo Matteo Baltruschat, Universitätsklinikum Hamburg-Eppendorf (Germany); Axel Saalbach, Philips Research (Germany); Mattias P. Heinrich, Univ. zu Lübeck (Germany); Hannes Nickisch, Philips Research (Germany) . . . .[10574-67]

Organ localization and Identification in thoracic CT volumes using 3D CNNs and leveraging spatial anatomic relations, Rajath Elias Soans, James A. Shackleford, Drexel Univ. (USA) . . . . . . . . . . . .[10574-68]

Automatic decomposition and mitral valve segmentation of cardiac ultrasound time series data, Yoni Dukler, Univ. of California, Los Angeles (USA); Yurun Ge, Shanghai Jiao Tong Univ. (China); Yizhou Qian, Univ. of California, Los Angeles (USA); Shintaro Yamamoto, Waseda Univ. (Japan); Baichuan Yuan, Univ. of California, Los Angeles (USA); Long Zhao, Univ. of California, Berkeley (USA); Andrea L. Bertozzi, Univ. of California, Los Angeles (USA); Blake Hunter, Claremont McKenna College (USA); Rafael Llerena, Jesse T. Yen, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-69]

Transfer learning for diabetic retinopathy, Jeremy Benson, Hector Carrillo, VisionQuest Biomedical LLC (USA) and The Univ. of New Mexico (USA); Jeff Wigdahl, Sheila Nemeth, Simon Barriga, VisionQuest Biomedical LLC (USA); Trilce Estrada, The Univ. of New Mexico (USA); Peter Soliz, VisionQuest Biomedical LLC (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-70]

Extraction of brain tissue from CT head images using fully convolutional neural networks, Zeynettin Akkus, Petro Kostandy, Kenneth A. Philbrick, Bradley J. Erickson, Mayo Clinic (USA) . . . .[10574-71]

Deep learning-based depth estimation from a synthetic endoscopy image training set, Faisal Mahmood, Nicholas J. Durr, Johns Hopkins Univ. (USA) [10574-72]

Automatic lung ultrasound B-line recognition in pediatric populations for the detection of pneumonia, Grecia Eche Zapata, Omar Zenteno, Benjamín Castañeda, Pontificia Univ. Católica del Perú (Peru) . . . . . . . . . . . . . . . . . .[10574-73]

Brain decoding using deep convolutional network and its application in cross-subject analysis, Yufei Gao, Jiacai Zhang, Beijing Normal Univ. (China) . . . .[10574-74]

CT-MR aortic aneurysm image segmentation by neural network fusion, Duo Wang, Rui Zhang, Zhongzhao Teng, Yuan Huang, Filippo Spiga, Univ. of Cambridge (UK); Michael Hong-Fei Du, Imperial College London (UK); Jonathan H. Gillard, Univ. of Cambridge (UK); Qingsheng Lu, Changhai Hospital (China); Pietro Lio, Univ. of Cambridge (UK) . . . . . . .[10574-75]

Spine centreline extraction and efficient spine reading of MRI and CT data, Cristian Lorenz, Philips Research (Germany); Nora Vogt, Univ. zu Lübeck (Germany); Peter Börnert, Philips Research (Germany) . . . . . . . . . . . . . . . . . .[10574-76]

Quantification and ModelingSegmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests, Timo Kepp, Christine Droigk, Univ. zu Lübeck (Germany); Malte Casper, Michael Evers, Univ. zu Lübeck (Germany) and Massachusetts General Hospital (USA); Nunciada Salma, Dieter Manstein, Massachusetts General Hospital (USA); Heinz Handels, Univ. zu Lübeck (Germany) . . . . . . . . . . . . . . . . . .[10574-77]

Automatic detection of the inner ears in head CT images using deep convolutional neural networks, Dongqing Zhang, Jack H. Noble, Benoit M. Dawant, Vanderbilt Univ. (USA) . . . . . . . . .[10574-78]

Multiorgan structures detection using deep convolutional neural networks, Jorge Onieva Onieva, German Gonzalez Serrano, Thomas P. Young, George R. Washko, Brigham and Women’s Hospital (USA); Maria Jesus Ledesma Carbayo, Univ. Politécnica de Madrid (Spain); Raúl San José Estépar, Brigham and Women’s Hospital (USA) . . . . . . . . . . . . . . .[10574-79]

Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint, Ningning Zhao, Daniel O’Connor, Dan Ruan, Univ. of California, Los Angeles (USA); Adrian Basarab, Institut de Recherche en Informatique de Toulouse (France); Ke Sheng, Univ. of California, Los Angeles (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-80]

Novel interpolation of sinogram in sparsely sampled CT using convolutional neural network, Jongha Lee, Hoyeon Lee, Seungryong Cho, KAIST (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . .[10574-81]

High resolution robust and smooth precision matrices to capture functional connectivity, Nicolas Honnorat, Univ. of Pennsylvania (USA) . . . . . . . . . . .[10574-82]

Hubs defined with participation coefficient metric altered following acute mTBI, Xiaocui Wang, Chuanzhu Sun, Shan Wang, Jieli Cao, Hui Xu, Shuoqiu Gan, Zhen Chen, Xi’an Jiaotong Univ. (China); Bo Yin, Guanghui Bai, Meihua Shao, Chenghui Gu, Liuxun Hu, Limei Ye, Dandong Li, Zhihan Yan, The 2nd Affiliated Hospital & Yuying Children’s Hospital of WMU (China); Lijun Bai, Xi’an Jiaotong Univ. (China) .[10574-83]

Aorta and pulmonary artery segmentation using optimal surface graph cut in non-contrast CT, Zahra Sedghi Gamechi, Andres M. Arias-Lorza, Erasmus MC (Netherlands); Jesper Holst Pedersen, Rigshospitalet (Denmark); Marleen de Bruijne, Erasmus MC (Netherlands) and Univ. of Copenhagen (Denmark) . . . . . . . . . . . . . . . . . .[10574-84]

Model based rib-cage unfolding for trauma CT, Jens von Berg, Tobias Klinder, Cristian Lorenz, Philips Research (Germany) . . . . . . . . . . . . . . . . . .[10574-85]

Thoracic lymph node station recognition on CT images based on automatic anatomy recognition with an optimal parent strategy, Jayaram K. Udupa, Guoping Xu, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-86]

Tapering analysis of airways with bronchiectasis, Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, Univ. College London (UK); David Edwards, The Royal Free Hospital (UK); Joseph Jacob, John R. Hurst, David J. Hawkes, Univ. College London (UK) . . . . . . . . . . . . . . . . . . . . . . .[10574-87]

Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-88]

Subject-specific brain tumor growth modelling via an efficient Bayesian inference framework, Yongjin Chang, KAIST (Korea, Republic of); Gregory C. Sharp, Quanzheng Li, Helen A. Shih, Georges El Fakhri, Jong Beom Ra, Jonghye Woo, Massachusetts General Hospital (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-89]

Image-based assessment of uncertainty in quantification of carotid lumen, Lilli Kaufhold, Fraunhofer MEVIS (Germany); Andreas Harloff, Universitätsklinikum Freiburg (Germany); Christian Schumann, Fraunhofer MEVIS (Germany); Jürgen Hennig, Axel J. Krafft, Universitätsklinikum Freiburg (Germany); Anja Hennemuth, Fraunhofer MEVIS (Germany) and Charité Universitätsmedizin Berlin (Germany) . . . . . . . . . . . . .[10574-90]

Automated Agatston score computation in non-ECG gated CT scans using deep learning, Carlos Cano Espinosa, Univ. de Alicante (Spain); Germán González, Sierra Research S.L. (Spain); George R. Washko, Brigham and Women’s Hospital (USA); Miguel Cazorla, Univ. de Alicante (Spain); Raúl San José Estépar, Brigham and Women’s Hospital (Spain) . . . . . .[10574-91]

Generative statistical modeling of left atrial appendage appearance to substantiate clinical paradigms for stroke risk stratification, Soroosh Sanatkhani, Univ. of Pittsburgh (USA); Prahlad G. Menon, Duquesne Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-92]

Feature analysis of high SUV regions base on FDG-PET, Yohei Torigoe, Shoken Oshiro, Tetsuya Tozaki, Kobe City College of Technology (Japan); Michio Senda, Institute of Biomedical Research and Innovation (Japan) . . . . . . . .[10574-93]

Relating regional characteristics of left atrial shape to presence of scar in patients with atrial fibrillation, Soroosh Sanatkhani, Univ. of Pittsburgh (USA); Michael Oladosu, Duquesne Univ. (USA); Sotirios Nedios, Massachusetts General Hospital (USA); Prahlad G. Menon, Duquesne Univ. (USA) . . . . . . . . .[10574-94]

RegistrationGeneralized mass transport modeling the glymphatic system, Rena Elkin, Stony Brook Univ. (USA); Klara Steklova, Eldad Haber, The Univ. of British Columbia (Canada); Hedok Lee, Helene Benveniste, Yale School of Medicine (USA) . .[10574-95]

SUNDAY/MONDAY POSTER SESSIONLocation: Salon E

Poster presentations from the Image Processing; Image Per-ception, Observer Performance, and Technology Assessment; Bio-medical Applications in Molecular, Structural, and Functional Imaging; and Digital Pathology conferences will be included.

Author Set-Up Time: Sunday after 12:00 pm (noon)

Posters should remain on display until the end of the Poster Session on Monday.



Poster award winners will be rec-ognized and certificates distributed in the conference meeting rooms. Check conference schedules for times and locations. Ribbons will identify winning posters during the Poster Sessions.



POSTERS — MONDAYEnhancement of breast periphery region in digital mammography, Ana Luiza Menegatti Pavan, Univ. Estadual Paulista “Júlio de Mesquita Filho” (Brazil); Antoine Vacavant, Univ. Clermont Auvergne (France); Allan Felipe Fattori Alves, Andre Petean Trindade, Caio Cesar Quini, Diana Rodrigues de Pina, Univ. Estadual Paulista “Júlio de Mesquita Filho” (Brazil) [10574-96]

Fast diffeomorphic image registration via GPU-based parallel computing: an investigation of the matching cost function, Jiong Wu, Xiaoying Tang, Sun Yat-Sen Univ. (China) . . . . . .[10574-97]

Group-wise shape correspondence of variable and complex objects, Ilwoo Lyu, Vanderbilt Univ. (USA); Jonathan Perdomo, The Univ. of North Carolina at Chapel Hill (USA); Gabriel S. Yapuncich, Duke Univ. (USA); Beatriz Paniagua, Kitware, Inc. (USA); Doug M. Boyer, Duke Univ. (USA); Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA) . . . .[10574-98]

SegmentationStudent beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR, Jonas Teuwen, Mohsen Ghafoorian, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel, Radboud Univ. Medical Ctr. (Netherlands) .[10574-99]

Fully convolutional neural networks improve abdominal organ segmentation, Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Andrew J. Plassard, Ilwoo Lyu, Vanderbilt Univ. (USA); Albert Assad, Incyte Corp. (USA); Richard G. Abramson, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . .[10574-100]

Multi-class segmentation of neuronal electron microscopy images using deep learning, Nivedita Khobragade, Chirag Agarwal, Univ. of Illinois at Chicago (USA) . . . . . . . . . . . . . . . . . . . . .[10574-101]

Automatic segmentation of fibroglandular tissue in breast MRI using anatomy-driven three-dimensional spatial context, Dong Wei, Susan Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Despina Kontos, Univ. of Pennsylvania (USA) . . . . . . . . . .[10574-102]

Extraction of breast lesions from ultrasound imagery: Bhattacharyya gradient flow approach, Mahsa Torkaman, Romeil Sandhu, Allen Tannenbaum, Stony Brook Univ. (USA) . . . . . . . . . . .[10574-103]

Coupled dictionary learning for joint MR image restoration and segmentation, Xuesong Yang, Institute of Automation (China) . . . . . . . . . . . . . . . . . . . .[10574-104]

Exudate segmentation using fully convolutional neural networks and Inception modules, Piotr Chudzik, Univ. of Lincoln (UK); Somshubra Majumdar, Univ. of Illinois (USA); Francesco Calivá, Bashir Al-Diri, Andrew Hunter, Univ. of Lincoln (UK) . . . . . . . . . . . . . . . . . . . . . .[10574-105]

Deformable model reconstruction of the subarachnoid space, Jeffrey Glaister, Muhan Shao, Xiang Li, Aaron Carass, Johns Hopkins Univ. (USA); Snehashis Roy, Henry M. Jackson Foundation (USA); Ari M. Blitz, Jerry L. Prince, Lotta Ellingsen, Johns Hopkins Univ. (USA) . . . . . . . . .[10574-106]

CNN-based automatic plaque characterization for intracoronary optical coherence tomography images, Shenghua He, Washington Univ. in St. Louis (USA); Jie Zheng, Washington Univ. School of Medicine in St. Louis (USA); Akiko Maehara, Gary Mintz, Cardiovascular Research Foundation (USA); Dalin Tang, Worcester Polytechnic Institute (USA); Mark Anastasio, Washington Univ. in St. Louis (USA); Hua Li, Washington Univ. School of Medicine in St. Louis (USA) . . . .[10574-107]

Sequential neural networks for biologically-informed glioma segmentation, Andrew Beers, Massachusetts General Hospital (USA); Ken Chang, James Brown, Elizabeth Gerstner, Bruce Rosen, Jayashree Kalpathy-Cramer, Athinoula A. Martinos Ctr. for Biomedical Imaging (USA) . . . . . . . . . . . . . .[10574-108]

A hybrid segmentation method for functional liver partition based on 4D DCE-MR images, Tian Zhang, Zhiyi Wu, Technische Univ. Delft (Netherlands); Jurgen H. Runge, Cristina Lavini, Jaap Stoker, Thomas M. van Gulik, Kasia P. Cieslak, Academisch Medisch Centrum (Netherlands); Lucas J. van Vliet, Frans M. Vos, Technische Univ. Delft (Netherlands) . . . . . . . . . . . . . . .[10574-109]

A new medical image segmentation model based on fractional order differential derivative and level set, Bo Chen, The State Univ. of New York (USA) and Shenzhen Univ. (China); Shan Huang, Feifei Xie, Shenzhen Univ. (China); Lihong Li, College of Staten Island (USA); Wensheng Chen, Shenzhen Univ. (China); Zhengrong Liang, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10574-110]

Automatic PET cervical tumor segmentation by deep learning with prior information, Liyuan Chen, Chenyang Shen, Shulong Li, Genevieve Maquilan, Kevin Albuquerque, Michael Folkert, Jing Wang, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA) . . . . . . . . . .[10574-111]

Automated segmentation of cellular images using an effective region force, Khadeejah Mohiuddin, Justin Wan, Univ. of Waterloo (Canada) . . . . . . . . . . .[10574-112]

Improved stability of whole brain surface parcellation with multi-atlas segmentation, Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10574-113]

Feature extraction using convolutional neural networks for multi-atlas based image segmentation, Xuesong Yang, Institute of Automation (China) .[10574-114]

Random walk based optic chiasm localization using multi-parametric MRI for patients with pituitary adenoma, Min Sun, Soochow Univ. (China); Zhiqiang Zhang, Chiyuan Ma, Suihua Chen, Nanjing General Hospital of Nanjing Military Command (China); Xinjian Chen, Soochow Univ. (China) . . . . . . . . . . . . . . .[10574-115]

Advanced two layer level set with a soft distance constraint for dual surfaces segmentation in medical images, Yuanbo Ji, Leiden Univ. Medical Ctr. (Netherlands) and Technische Univ. Delft (Netherlands); Rob J. van der Geest, Leiden Univ. Medical Ctr. (Netherlands); Saman Nazarian, Hospital of the Univ. of Pennsylvania (USA); Boudewijn P. F. Lelieveldt, Leiden Univ. Medical Ctr. (Netherlands) and Technische Univ. Delft (Netherlands); Qian Tao, Leiden Univ. Medical Ctr. (Netherlands) . . . . .[10574-116]

CONFERENCE 10577Image Perception, Observer

Performance, and Technology Assessment

Study of CT image texture using deep learning techniques, Sandeep Dutta, General Electric Co. (USA); Jiahua Fan, GE Healthcare (USA) . . . . . . . . . . . . .[10577-36]

Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study, Yang Yang, Univ. at Buffalo (USA); Berkman Sahiner, Zhipeng Huang, Nicholas A. Petrick, Weijie Chen, U.S. Food and Drug Administration (USA) . . . . . . . . . .[10577-37]

Heart phantom development towards standardized myocardial perfusion imaging: a proof of concept, Marije Kamphuis, Univ. Twente (Netherlands); Marcel J. W. Greuter, Univ. of Twente (Netherlands); Riemer Slart, Kees Slump, Univ. Twente (Netherlands) . . . . .[10577-38]

Imaging performance of quantitative transmission ultrasound tomography: preliminary results towards establishing industry consensus standards, Mark Lenox, Bilal Malik, QT Ultrasound LLC (USA) . . . . . . . . . . . . . . . . . . . . . .[10577-39]

Ischemic stroke enhancement in computed tomography scans using a computational approach, Allan F. Fattori Alves, Univ. Estadual Paulista “Julio de Mesquita Filho” (Brazil); Ana L. Menegatti Pavan, Univ. Estadual Paulista “Júlio de Mesquita Filho” (Brazil); Rachid Jennane, Univ. d’Orléans (France); José R. de Arruda Miranda, Carlos C. Macedo de Freitas, Nitamar Abdala, Univ. Estadual Paulista “Julio de Mesquita Filho” (Brazil); Diana Rodrigues de Pina, Univ. Estadual Paulista “Júlio de Mesquita Filho” (Brazil) [10577-40]

Projection space model observer based on a marginalized linear discriminant, Zohreh Karbaschi, Howard C. Gifford, Univ. of Houston (USA) . . . . . . . . . . . . .[10577-41]

Characteristics of the group of radiologists that benefits the most using breast screen reader assessment strategy (BREAST), Aarthi Ganesan, Maram Alakhras, Patrick C. Brennan, Warwick Lee, Kriscia Tapia, Claudia R. Mello-Thoms, The Univ. of Sydney (Australia) . . . . . . . . . . . . . . . . . . .[10577-42]

Learning the ideal observer for SKE detection tasks by use of convolutional neural networks, Weimin Zhou, Mark A. Anastasio, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . .[10577-43]

Blind CT image quality assessment via deep learning strategy: initial study, Sui Li, Ji He, Yongbo Wang, Yuting Liao, Dong Zeng, Zhaoying Bian, Jianhua Ma, Southern Medical Univ. (China) . .[10577-44]

Can a totally different approach to soft tissue computer aided detection CADE result in affecting radiologists’ decisions?, David Gur, Univ. of Pittsburgh (USA) . . . . . . . . . . . . . . . . . . . . . .[10577-45]

Feasibility study of deep convolutional generative adversarial networks to generate mammography images, Gihun Kim, Hyunjung Shim, Jongduk Baek, Yonsei Institute of Convergence Technology (Korea, Republic of) .[10577-46]

Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment, Pamela R. Jackson, Andrea Hawkins-Daarud, Mayo Clinic Arizona (USA); Savannah C. Partridge, Paul E. Kinahan, Univ. of Washington (USA); Kristin R. Swanson, Mayo Clinic Arizona (USA). . . . . .[10577-47]

Breast elastography: classification of benign and malignant cancer based on absolute elastic modulus measurement using Vibro-elastography, Junior Arroyo, Ana Cecilia Saavedra, Pontificia Univ. Católica del Perú (Peru); Jorge Guerrero, Pilar Montenegro, Jorge Aguilar, Joseph A. Pinto, Oncosalud (Peru); Julio Lobo, Tim Salcudean, The Univ. of British Columbia (Canada); Roberto Lavarello, Benjamín Castañeda, Pontificia Univ. Católica del Perú (Peru) . . . . . . . . . . . . . . . . . .[10577-48]

Local-search based prediction of medical image registration error, Gorkem Saygili, Ankara Üniv. (Turkey) . . . . . . . . . . . . . . . . . . . .[10577-49]

CONFERENCE 10578Biomedical Applications in Molecular, Structural, and

Functional Imaging

Cardiovascular and Pulmonary Imaging

Nonrigid 2D registration of coronary artery angiograms with periodic displacement field, Taewoo Park, Hankuk Univ. of Foreign Studies (Korea, Republic of); Soochahn Lee, Soonchunhyang Univ. (Korea, Republic of); Il dong Yun, Hankuk Univ. of Foreign Studies (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . .[10578-58]

Lesion detection for cardiac ablation from auto-fluorescence hyperspectral images, Shuyue Guan, Murray Loew, Huda Asfour, Narine Sarvazyan, Narine Muselimyan, The George Washington Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-59]

MRI-based three-dimensional modeling and assessment of epicardial adipose tissue distribution, Jon Klingensmith, Saygin Sop, Maria Fernandez-del-Valle, Southern Illinois Univ. Edwardsville (USA); Sunanda Mitra, Texas Tech Univ. (USA); Mete Naz, H. Felix Lee, Southern Illinois Univ. Edwardsville (USA) . . . . . . .[10578-60]


Automated segmentation and feature extraction in cardiac electrical impedance tomography images, Saaid H. Arshad, Ethan K. Murphy, Ryan J. Halter, Thayer School of Engineering at Dartmouth (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-61]

3D segmentation of the ascending and descending aorta from CT data via graph-cuts, Jung won Cha, Alexander Henn, Marcus Stoddard, Amir Amini, Univ. of Louisville (USA) . . . . . . . . . . . .[10578-62]

Multi-pathways CNN for robust vascular segmentation, Titinunt Kitrungrotsakul, Ritsumeikan Univ. (Japan); Xian-Hua Han, National Institute of Advanced Industrial Science and Technology (Japan); Xiong Wei, Institute for Infocomm Research (Singapore); Yen-Wei Chen, Ritsumeikan Univ. (Japan) . . . . . . . . . . . . . . . .[10578-63]

Sensitivity of FFR-CT to manual segmentation, Prem Venugopal, Xia Li, Lishui Cheng, Roshni Bhagalia, Peter M. Edic, GE Global Research (USA) .[10578-64]

SLIC robust (SLICR) for fast, robust CT myocardial blood flow quantification, Hao Wu, Brendan L. Eck, Jacob Levi, Case Western Reserve Univ. (USA); Anas Fares, Univ. Hospitals Case Medical Ctr. (USA); Yuemeng Li, Di Wen, Case Western Reserve Univ. (USA); Hiram G. Bezerra, Univ. Hospitals Case Medical Ctr. (USA); David L. Wilson, Case Western Reserve Univ. (USA) . . . . . . . . . . . . . . . . .[10578-65]

Pulmonary function diagnosis based on diaphragm movement using dynamic flat-panel detector imaging: an animal-based study, Rie Tanaka, Kanazawa Univ. (Japan); Tohru Tani, Norihisa Nitta, Takahisa Tabata, Shiga Univ. of Medical Science (Japan); Noritsugu Matsutani, Shintaro Muraoka, Shikou Kaneko, Sho Noji, Tsutomu Yoneyama, Konica Minolta, Inc. (Japan); Haruna Kawakami, Kanazawa Univ. (Japan) . . . . . . . . . . . . . . . .[10578-66]

Bronchial based pulmonary acinus analysis in human lungs using a synchrotron radiation micro-CT, Kurumi Saito, Yuya Kobayashi, Satoru Ohnishi, Yoshiki Kawata, Noboru Niki, Tokushima Univ. (Japan); Keiji Umetani, Japan Synchrotron Radiation Research Institute (JASRI) (Japan); Toshihiro Okamoto, Cleveland Clinic Heart and Vascular Institute (USA); Hiroaki Sakai, Hyogo Prefectural Amagasaki General Medical Ctr. (Japan); Yasutaka Nakano, Shiga Univ. of Medical Science (Japan); Harumi Itho, Univ. of Fukui (Japan) . . . . . . . . . . . . . . . . . . . . .[10578-67]

Innovations in Image ProcessingCapillary detection in transverse muscle sections, Ahmad Nadim Baharum, Moi Hoon Yap, Glenn Ferris, Hans Degens, Manchester Metropolitan Univ. (UK) . . . . . . . . . . . . . . . . . . . . . . .[10578-68]

Coronary calcification identification in optical coherence tomography using convolutional neural networks, Dario Augusto Borges Oliveira, Maysa M. G. Macedo, IBM Research - Brazil (Brazil); Pedro Nicz, Instituto do Coração, Univ. de São Paulo (Brazil); Carlos Campos, Instituto do Coração, Univ. de São Paulo (Brazil) and SBIBHAE (Brazil); Pedro Lemos, Marco A. Gutierrez, Instituto do Coração, Univ. de São Paulo (Brazil) . . . . . . . . . . . .[10578-69]

Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans, Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Technische Univ. Graz (Austria); Norbert Jakse, Jürgen Wallner, Medizinischen Univ. Graz (Austria); Dieter Schmalstieg, Jan Egger, Technische Univ. Graz (Austria) . . . . . . . . . . . . . . . .[10578-70]

Unsupervised segmentation of 3D medical images based on clustering and deep representation learning, Takayasu Moriya, Holger R. Roth, Nagoya Univ. (Japan); Shota Nakamura, Nagoya Univ. Graduate School of Medicine (Japan); Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . . .[10578-71]

Low dose CT reconstruction with nonlocal means-based prior predicted from normal-dose CT database, Junyan Rong, Yuanke Zhang, Tianshuai Liu, Peng Gao, Fourth Military Medical Univ. (China); Yuxiang Xing, Tsinghua Univ. (China); Zhengrong Liang, Stony Brook Univ. (USA); Hongbing Lu, Fourth Military Medical Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10578-72]

Hierarchical model-based object localization for auto-contouring in head and neck radiation therapy planning, Yubing Tong, Jayaram K. Udupa, Xingyu Wu, Dewey Odhner, Univ. of Pennsylvania (USA); Gargi Pednekar, Quantitative Radiology Solutions (USA); Charles B. Simone II, Univ. of Maryland School of Medicine (USA); David McLaughlin, Quantitative Radiology Solutions (USA); Chavanon Apinorasethkul, Geraldine Shammo, Paul James, Univ. of Pennsylvania (USA); Joseph Camaratta, Quantitative Radiology Solutions (USA); Drew A. Torigian, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-73]

Analysis of deep learning model that predicts gender from PET scans, Jon Camp, Val Lowe, Bradley Kemp, David R. Holmes III, Mayo Clinic (USA) .[10578-74]

Automated delineation of organs-at-risk in head and neck CT images using multi-output support vector regression, Clara Tam, Shuo Li, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10578-75]

Automatic generation of the dental scheme based on 2D radiographs, Pierre Michel, Valentin Prezelin, Pauline Bléry, Florent Autrusseau, Yves Amouriq, Jean-Pierre Guédon, Univ. de Nantes (France) . . . . . . . . . . . . . . . . . . . .[10578-76]

Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks, Joshua V. Stough, Joseph DiPalma, Zilin Ma, Bucknell Univ. (USA); Brandon K. Fornwalt, Christopher M. Haggerty, Geisinger Health System (USA) . .[10578-77]

Neurological ImagingDiffusion tensor imaging of the spinal cord of pediatric patients, Bhavesh Ramkorun, Berea College (USA); Seth A. Smith, Vanderbilt Univ. (USA) and Vanderbilt Univ. Medical Ctr. (USA); Bryson Reynolds, Samantha By, Vanderbilt Univ. (USA); Patrick Couture, Vanderbilt Univ. Medical Ctr. (USA) . . . . . . .[10578-78]

Altered structural-functional coupling of large-scale brain networks in early Tourette Syndrome children, Hongwei Wen, Institute of Automation, Chinese Academy of Sciences (China); Yue Liu, Capital Medical Univ. (China); Changde Du, Shengpei Wang, Institute of Automation, Chinese Academy of Sciences (China); Yun Peng, Capital Medical Univ. (China); Huiguang He, Institute of Automation, Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . . . . . .[10578-79]

Determining disease evolution driver nodes in dementia networks, Amirhessam Tahmassebi, Katja Pinker-Domenig, Florida State Univ. (USA); Anke Meyer-Baese, Florida State University (USA) . . .[10578-80]

Semi-supervised sparse representation classifier with random sample subset ensembles in fMRI-based brain state decoding, Jing Zhang, Chuncheng Zhang, Beijing Normal Univ. (China); Sutao Song, Univ. of Jinan (China); Li Yao, Zhiying Long, Beijing Normal Univ. (China) . . . .[10578-81]

Intensified CCD camera based fNIRS-DOT imaging system for whole functional brain mapping in children, Banghe Zhu, Eva M. Sevick-Muraca, Manish Shah, The Univ. of Texas Health Science Ctr. at Houston (USA) . . . . . . . . . . . . . . .[10578-82]

Optimization of SPECT stem cell tracking in rat brain, Igor Patrikeev, Maria-Adelaide Micci, Margaret Parsley, Massoud Motamedi, The Univ. of Texas Medical Branch (USA) . . . . . . . . . . . . . . . .[10578-83]

Analysis of functional MRI data in influenza virus infected mice using light stimulation system, Wook Kim, Korea Institute of Radiological & Medical Sciences (Korea, Republic of); Sang-Soep Nahm, Konkuk Univ. (Korea, Republic of); Yong Sung Park, Yong Jin Lee, Joo Hyun Kang, Sang Moo Lim, Sang-Keun Woo, Korea Institute of Radiological & Medical Sciences (Korea, Republic of) . . . . . . . . . . .[10578-84]

Novel Imaging Techniques and Applications

An EIT system for mobile medical diagnostics, Christian Gibas, Univ. Siegen (Germany) . . . . . . . . . . . . . . . . . .[10578-85]

Uptake of L-maurocalcine in DAOY cells and bio-distribution in mice by SPECT/CT imaging, Poonam Sarkar, Mostafa W. Gaber, Baylor College of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-86]

Bayesian inference and model selection for physiologically-based pharmacokinetic modeling of superparamagnetic iron oxide nanoparticles, Lynn Bi, Columbia Univ. (USA) and M.D. Anderson Cancer Ctr. (USA); Javad Sovizi, Kelsey Mathieu, Wolfgang Stefan, Sara Thrower, David Fuentes, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . . . . . . . . . .[10578-87]

Fiber-based Raman imaging system for bladder tissue analysis, Eliana Cordero, Leibniz-Institut für Photonische Technologien e.V. (Germany) . . .[10578-88]

SVA: Shape variation analyzer, Priscille de Dumast, Clément Mirabel, Univ. of Michigan (USA); Beatriz Paniagua, Kitware, Inc. (USA); Antonio Carlos Ruellas, Marilia Yatabe, Univ. of Michigan (USA); Martin Styner, The Univ. of North Carolina at Chapel Hill (USA); Lucia Cevidanes, Univ. of Michigan (USA); Juan Carlos Prieto, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-89]

Back-projection cortical potential imaging using a multi-resolution optimization algorithm, Dror Haor, Ben-Gurion Univ. of the Negev (Israel) and ElMindA Ltd. (Israel); Reuven Shavit, Ben-Gurion Univ. of the Negev (Israel); Amir Geva, Ben-Gurion Univ. of the Negev (Israel) and ElMindA Ltd. (Israel); Yaki Stern, Ziv Peremen, ElMindA Ltd. (Israel); Roman Joffe, Ben-Gurion Univ. of the Negev (Israel) . . . . . . . . . . . . . . . . . . . . .[10578-90]

OpticalEvaluating LED photoacoustic imaging for human inflammatory arthritis, Janggun Jo, Guan Xu, Univ. of Michigan (USA); Jaehoon Lee, Texas Tech Univ. (USA); Xueding Wang, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-91]

3D modeling of chromosomes territories in normal and aneuploid nuclei, Fan-yun Yen, Fatima Merchant, Univ. of Houston (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-92]

Segmentation of brain lesions from CT images based on deep learning techniques, Xiaohong W. Gao, Middlesex Univ. (UK); Yu Qian, Cortexica Vision Systems Ltd. (UK) . . . . . . . . . . . .[10578-93]

A competing round-robin prediction model for histologic subtype prediction of lung adenocarcinomas based on thoracic computed tomography, Li Wei Chen, Shun-Mao Yang, Hao-Jen Wang, National Taiwan Univ. (Taiwan); Mong-Wei Lin, National Taiwan Univ. Hospital (Taiwan); Leng-Rong Chen, Fu-Sheng Hsu, Chia-Chen Li, Chung-Ming Chen, National Taiwan Univ. (Taiwan) . . . . . . . . .[10578-94]

Comparison of Gaussian filter versus wavelet-based denoising on graph-based segmentation of retinal OCT images, Priyanka Roy, Mohana Kuppuswamy Parthasarathy, John Zelek, Vasudevan Lakshminarayanan, Univ. of Waterloo (Canada) . . . . . . . . . . . . . . . . . . .[10578-95]

Lower jawbone data generation for deep learning tools under MeVisLab, Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Technische Univ. Graz (Austria); Norbert Jakse, Jürgen Wallner, Medizinischen Univ. Graz (Austria); Dieter Schmalstieg, Jan Egger, Technische Univ. Graz (Austria) . . . . . . . . . . . . . . . .[10578-96]

Detection and registration of vessels for longitudinal 3D retinal OCT images using SURF, Lingjiao Pan, Soochow Univ. (China) and Jiangsu Univ. of Technology (China); Liling Guan, Fei Shi, Xinjian Chen, Soochow Univ. (China) . . . . . . . . . . . . . . . .[10578-97]

Lung tumor segmentation based on multi-scale template matching and region growing, Bolan Yang, Soochow Univ. (China); Feihong Yu, The First Affiliated Hospital, Nanjing Medical Univ. (China); Dehui Xiang, Soochow Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10578-98]

POSTERS — MONDAY


Automatic coronary artery lumen segmentation in computed tomography angiography using paired multi-scale 3D CNN, Fei Chen, Yu Li, Xidian Univ. (China); Tian Tian, Feng Cao, Chinese PLA General Hospital (China); Jimin Liang, Xidian Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10578-99]

Heart chamber segmentation from CT using convolutional neural networks (CNN), James D. Dormer, Ling Ma, Martin Halicek, Carolyn M. Reilly, Baowei Fei, Emory Univ. (USA) . . . . . . . . . . .[10578-100]

Automated connectivity-based cortical mapping using registration-constrained classification, Kristian Eschenburg, David Haynor, Thomas Grabowski, Univ. of Washington (USA) . . . . . . . . . . .[10578-101]

POSTERS — MONDAY

A watershed and feature based approach for automated detection of lymphocytes on lung cancer images, Germán Corredor, Univ. Nacional de Colombia Sede Bogotá (Colombia); Xiangxue Wang, Cheng Lu, Case Western Reserve Univ. (USA); Eduardo Romero Castro, Univ. Nacional de Colombia Sede Bogotá (Colombia); Anant Madabhushi, Case Western Reserve Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10581-26]

Automated segmentation of epithelial tissue in prostatectomy slides using deep learning, Wouter Bulten, Christina A. Hulsbergen-van de Kaa, Jeroen van der Laak, Geert J. S. Litjens, Radboud Univ. Medical Ctr. (Netherlands) . . . . . .[10581-27]

Registration parameter optimization for 3D tissue modeling from resected tumors cut into serial H&E slides, Starr Johnson, Univ. at Buffalo (USA) .[10581-28]

Determining tumor cellularity in digital slides using ResNet, Shazia Akbar, Mohammad Peikari, Sunnybrook Research Institute, Univ. of Toronto (Canada); Sherine Salama, Sharon Nofech-Mozes, Sunnybrook Health Sciences Ctr. (Canada); Anne L. Martel, Sunnybrook Research Institute, Univ. of Toronto (Canada) . . . . . . . . . . . . . . . . . . .[10581-29]

CONFERENCE 10581Digital Pathology

3D human lung histology reconstruction and registration to in vivo imaging, Sean Pentinga, Western Univ. (Canada) and London Regional Cancer Program (Canada); Keith Kwan, Western Univ. (Canada); Sarah A. Mattonen, Western Univ. (Canada) and Stanford Univ. School of Medicine (USA) and London Regional Cancer Program (Canada); Carol Johnson, London Regional Cancer Program (Canada); Alexander V. Louie, Mark Landis, Richard Inculet, Richard Malthaner, Dalilah Fortin, George B. Rodrigues, Brian P. Yaremko, Western Univ. (Canada); David A. Palma, Aaron D. Ward, Western Univ. (Canada) and London Regional Cancer Program (Canada) . . . . . . . . . . . .[10581-30]

Entanglement of color management components in a whole-slide imaging system, Wei-Chung Cheng, Chih-Lei Wu, Calvin Sun, U.S. Food and Drug Administration (USA) . . . . . . . . . .[10581-31]

CNN based segmentation of nuclei in PAP-smear images with selective pre-processing, Srishti Gautam, Arnav Bhavsar, Anil K. Sao, Indian Institute of Technology Mandi (India); Harinarayan K.K., Aindra Systems Pvt. Ltd. (India) .[10581-32]

Tumor proliferation assessment of whole slide images, Mikael Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Läthén, Björn Norell, ContextVision AB (Sweden); Oscar A. Jimenez-del-Toro, Henning Müller, Manfredo Atzori, MedGIFT (Switzerland) . . . . . . . . . . . . . . . .[10581-33]

H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection, David Tellez, Maschenka Balkenhol, Nico Karssemeijer, Geert J. S. Litjens, Jeroen van der Laak, Francesco Ciompi, Radboud Univ. Medical Ctr. (Netherlands) .[10581-34]

Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks, Adam R. Sibley, Maryellen L. Giger, The Univ. of Chicago Committee on Medical Physics (USA) . . . . . . . . . . . . . . . . . . . . . .[10581-35]

Unsupervised pathology image segmentation using representation learning with spherical k-means, Takayasu Moriya, Holger R. Roth, Graduate School of Informatics, Nagoya Univ. (Japan); Shota Nakamura, Nagoya Univ. School of Medicine (Japan); Hirohisa Oda, Kai Nagara, Graduate School of Information Science, Nagoya Univ. (Japan); Masahiro Oda, Kensaku Mori, Graduate School of Informatics, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . . .[10581-36]

Automatic segmentation of histopathological slides of renal tissue using deep learning, Thomas de Bel, Meyke Hermsen, Jeroen van der Laak, Geert J. S. Litjens, Bart Smeets, Luuk Hilbrands, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . .[10581-37]

Scalable storage of whole slide images and fast retrieval of tiles using Apache Spark, Daniel E. Lopez Barron, Dig Vijay K. Yarlagadda, Praveen Rao, Univ. of Missouri-Kansas City (USA); Ossama Tawfik, The Univ. of Kansas Medical Ctr. (USA); Deepthi Rao, ProPath (USA) . . . . . . . . . . . . . . . . . . . . . .[10581-38]

Glomerular boundary detection from multimodal microscopy images using Butterworth band-pass filter, Darshana Govind, Pinaki Sarder, Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . .[10581-39]

Dual-LED based focus map surveying method for whole slide imaging, Jun Liao, Guoan Zheng, Univ. of Connecticut (USA) . . . . . . . . . . . .[10581-40]

A comparison of discriminatory power of low- and high-level features learned by deep convolutional neural networks for epithelium and stroma classification, Yuchen Qiu, Yue Du, The Univ. of Oklahoma (USA); Roy Zhang, Kathleen Moore, The Univ. of Oklahoma Health Sciences Ctr. (USA); Abolfazl Zargari, The Univ. of Oklahoma (USA); Theresa Thai, Camille Gunderson, Katherine Moxley, Robert Mannel, The Univ. of Oklahoma Health Sciences Ctr. (USA); Hong Liu, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . . .[10581-41]

Image processing to extend effective OCT penetration depth in tissue, Shantel Maharaj, Drexel Univ. College of Medicine (USA); David E. Breen, Drexel Univ. (USA); Fernando U. Garcia, Cancer Treatment Ctrs. of America (USA); Mark Zarella, Drexel Univ. College of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . .[10581-42]

Registration accuracy between whole slide images and glass slides in eeDAP workflow, Qi Gong, Benjamin P. Berman, Marios A. Gavrielides, Brandon D. Gallas, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . .[10581-43]

Classification of lung cancer histology images using patch-level summary statistics, Simon Graham, Muhammad Shaban, Talha Qaiser, The Univ. of Warwick (UK); Ali Khurram, The Univ. of Sheffield (UK); Nasir M. Rajpoot, The Univ. of Warwick (UK) . . . . . . . . . . . . . . . .[10581-44]

Segmentation of black ink and melanin in skin histopathological images, Pawel Kleczek, AGH Univ. of Science and Technology (Poland); Martyna Lech, Jagiellonian Univ. Medical College (Poland); Joanna Jaworek-Korjakowska, AGH Univ. of Science and Technology (Poland); Grzegorz Dyduch, Jagiellonian Univ. Medical College (Poland); Ryszard Tadeusiewicz, AGH Univ. of Science and Technology (Poland) . . . . . . . . . .[10581-45]

Semantic segmentation for prostate cancer grading by convolutional neural networks, Nathan Ing, Cedars-Sinai Medical Ctr. (USA); Zhaoxuan Ma, Cedars Sinai Medical Ctr. (USA); Jiayun Li, Univ. of California, Los Angeles (USA); Hootan Salemi, Cedars-Sinai Medical Ctr. (USA); Corey Arnold, Univ. of California, Los Angeles (USA); Beatrice S. Knudsen, Arkadiusz Gertych, Cedars-Sinai Medical Ctr. (USA). . . . . . . . . . . . . . . . . . .[10581-46]

SlideSeg: a Python module for the creation of annotated image repositories from whole slide images, Brendan Crabb, SPAWAR Systems Ctr. Pacific (USA); Niels H. Olson, Naval Hospital Camp Pendleton (USA) and Naval Medical Ctr. San Diego (USA) . . . . . . . . . . . . . . . . . . . . . .[10581-47]

An unsupervised network for fast microscopic image registration, Chang Shu, Institute of Automation, Chinese Academy of Sciences (China) and Univ. of Chinese Academy of Sciences (China); Xi Chen, Qiwei Xie, Institute of Automation, Chinese Academy of Sciences (China); Hua Han, Institute of Automation, Chinese Academy of Sciences (China) and The Ctr. for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences (China) and Univ. of Chinese Academy of Sciences (China) . . .[10581-48]

Landmark-based reconstruction of 3D smooth structures from serial histological sections, Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Hidekata Hontani, Nagoya Institute of Technology (Japan); Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Kyushu Univ. (Japan) . . . . . . . . . . . . . . . .[10581-49]

Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears, Golnaz Moallem, Hamed Sari-Sarraf, Texas Tech Univ. (USA); Mahdieh Poostchi, Lister Hill National Ctr. for Biomedical Communications, National Library of Medicine (USA); Richard J. Maude, Kamolrat Silamut, Mahidol-Oxford Tropical Medicine Research Unit (Thailand); Sameer Antani, Stefan Jaeger, George Thoma, Lister Hill National Ctr. for Biomedical Communications, National Library of Medicine (USA) . . . . . .[10581-50]


Sun.–Tues. 11–13 Feb. 2018





Sun.–Tues. 11–13 Feb. 2018




TUESDAY 13 FEBRUARY


SESSION 8ROOM: MONTROSE . . . . . .TUE 8:00 AM TO

9:40 AM

Neurological Imaging IISession Chairs: Nicholas J.

Tustison, Univ. of Virginia (USA); Axel Wismüller, Univ. of Rochester

Medical Ctr. (USA)

8:00 am: An improved approach of high graded glioma segmentation using sparse autoencoder and fuzzy c-means clustering from multi-modal MR images, Debanjali Bhattacharya, Neelam Sinha, International Institute of Information Technology, Bangalore (India) . . .[10578-38]

8:20 am: Improving self super resolution in magnetic resonance images, Aaron Carass, Johns Hopkins Univ. (USA); Sachin Goyal, Indian Institute of Technology (India); Can Zhao, Johns Hopkins Univ. (USA); Amod Jog, Athinoula A. Martinos Ctr. for Biomedical Imaging (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-39]

8:40 am: Automatic callosal fiber convergence plane computation through DTI-based divergence map, Gustavo R. Pinheiro, Giovana S. Cover, Univ. Estadual de Campinas (Brazil); Mariana P. Bento, Univ. of Calgary (Canada) and Univ. Estadual de Campinas (Brazil); Letícia Rittner, Univ. Estadual de Campinas (Brazil) . . . . . . . . . . . . . . . . . . . . .[10578-40]

9:00 am: Fluorescence imaging of lymphatic outflow of cerebrospinal fluid in mice, Sunkuk Kwon, Christopher F. Janssen, Fred Velasquez, Eva M. Sevick-Muraca, The Univ. of Texas Health Science Ctr. at Houston (USA) . . . . . . . . .[10578-41]

9:20 am: Corpus callosum parcellation methods: a quantitative comparative study, Mariana Eugênia de Carvalho Pereira, Giovana S. Cover, Faculdade de Engenharia de Campinas, Univ. Estadual de Campinas (Brazil); Simone Appenzeller, Faculdade de Ciências Médicas, Univ. Estadual de Campinas (Brazil); Letícia Rittner, Faculdade de Engenharia de Campinas, Univ. Estadual de Campinas (Brazil) . . . . . . . . . . . . . . . . . . . . .[10578-42]

Coffee Break . . . . Tue 9:40 am to 10:10 am

SESSION 1ROOM: SALON A . . . . . . . . .TUE 8:00 AM TO

9:40 AM

Deep Learning8:00 am: Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks, Nooshin Ghavami, Yipeng Hu, Ester Bonmati, Rachel Rodell, Eli D. Gibson, Caroline M. Moore, Dean C. Barratt, Univ. College London (UK) . . . . . . . . . . .[10576-2]

8:20 am: Generative adversarial networks for endoscopic image preprocessing, Isabel Funke, Sebastian Bodenstedt, National Ctr. for Tumor Diseases Dresden (Germany); Carina Riediger, Jürgen Weitz, Universitätsklinikum Carl Gustav Carus Dresden (Germany); Stefanie Speidel, National Ctr. for Tumor Diseases Dresden (Germany) . . . . . . . . . . . . . . . . . . .[10576-3]

8:40 am: Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks, Martin Halicek, Georgia Institute of Technology (USA); James V. Little, Xu Wang, Mihir R. Patel, Christopher C. Griffith, Amy Y. Chen, Emory Univ. School of Medicine (USA); Baowei Fei, Emory Univ. (USA) . . . . . . . . . . . . .[10576-4]

9:00 am: Vessel layer separation in x-ray angiograms with fully convolutional network, Haidong Hao, Technische Univ. Delft (Netherlands); Hua Ma, Theo van Walsum, Erasmus MC (Netherlands) . . . . . . . . . . . . . . . . .[10576-5]

9:20 am: Cine cardiac MRI slice misalignment correction towards full 3D left ventricle segmentation, Shusil Dangi, Cristian Linte, Rochester Institute of Technology (USA); Ziv Yaniv, National Library of Medicine (USA) and TAJ Technologies Inc. (USA) and National Institutes of Health (USA) . . . . . . .[10576-6]


SESSION 4ROOM: HUNTERS CREEK . .TUE 8:00 AM TO

9:40 AM

Musculoskeletal and SkinSession Chairs: Karen Drukker,

The Univ. of Chicago (USA); Carol L. Novak, Siemens Healthineers (USA)

8:00 am: Automated synovium segmentation in Doppler ultrasound images for rheumatoid arthritis assessment, Pak Hei Yeung, The Univ. of Hong Kong (Hong Kong, China); York Kiat Tan, Singapore General Hospital (Singapore); Shuoyu Xu, Sun Yat-Sen Univ. Cancer Ctr. (China) . . . . . . . . . . .[10575-19]

8:20 am: Automatic pedicles detection using convolutional neural network in a 3D spine reconstruction from biplanar radiographs, Christine Bakhous, Benjamin Aubert, Carlos Vazquez, Thierry Cresson, École de Technologie Supérieure (Canada); Stefan Parent, CHU Sainte-Justine (Canada); Jacques De Guise, École de Technologie Supérieure (Canada) [10575-20]

8:40 am: Fully automated bone mineral density assessment from low-dose chest CT, Shuang Liu, Cornell Univ. (USA); Jessica Gonzalez, Javier Zulueta, Juan P. de Torres, Clínica Univ. de Navarra (Spain); David F. Yankelevitz, Claudia I. Henschke, Icahn School of Medicine at Mount Sinai (USA); Anthony P. Reeves, Cornell Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-21]

9:00 am: Segmentation of skin lesions in chronic graft versus host disease photographs with fully convolutional networks, Jianing Wang, Fuyao Chen, Vanderbilt Univ. (USA); Eric Tkaczyk, Vanderbilt Univ. Medical Ctr. (USA); Benoit M. Dawant, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-22]

9:20 am: Computer-aided detection of basal cell carcinoma through blood content analysis in dermoscopy images, Pegah Kharazmi, The Univ. of British Columbia (Canada); Sunil Kalia, Harvey Lui, Z. Jane Wang, Tim K. Lee, The Univ. of British Columbia (Canada) . . . . . .[10575-23]


SESSION 8ROOM: SALON B . TUE 8:00 AM TO 9:40 AM

Motion8:00 am: A novel filtering approach for 3D harmonic phase analysis of tagged MRI, Xiaokai Wang, Jerry L. Prince, Arnold D. Gomez, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-39]

8:20 am: Feasibility of intra-sweep motion correction for 4D DSA reconstruction for applications in the thorax and abdomen, Martin G. Wagner, Paul Laeseke, Colin Harari, Univ. of Wisconsin-Madison (USA); Sebastian Schafer, Siemens Healthineers (USA); Michael Speidel, Charles Mistretta, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-40]

8:40 am: Deep learning-based CT motion artifact recognition in coronary arteries, Tanja Elss, Hannes Nickisch, Tobias Wissel, Holger Schmitt, Philips Research (Germany); Mani Vembar, Philips Healthcare (USA); Michael M. Morlock, Technische Univ. Hamburg-Harburg (Germany); Michael Grass, Philips Research (Germany) . . . . . . . . . . . . . . . . . .[10574-41]

9:00 am: Population-based respiratory 4D motion atlas construction and its application for VR simulations of liver punctures, Andre Mastmeyer, Matthias Wilms, Heinz Handels, Univ. zu Lübeck (Germany) . . . . . . . . . . . . . . . . . .[10574-42]

9:20 am: Sensitivity analysis of Jacobian determinant used in treatment planning for lung cancer, Wei Shao, Sarah E. Gerard, Yue Pan, The Univ. of Iowa (USA); Taylor J. Patton, Univ. of Wisconsin-Madison (USA); Joesph M. Reinhardt, Oguz C. Durumeric, The Univ. of Iowa (USA); John E. Bayouth, Univ. of Wisconsin-Madison (USA); Gary E. Christensen, The Univ. of Iowa (USA) . . . . . . . . . . .[10574-43]


SESSION 4ROOM: SALON C . TUE 8:00 AM TO 9:40 AM

DetectorsSession Chairs: Wei Zhao, Stony Brook Medicine (USA); Karim S.

Karim, Univ. of Waterloo (Canada)

8:00 am: Evaluation of novel multilayer x-ray detector designs using rapid Monte Carlo simulation, Scott Dow, Adrian F. Howansky, Wei Zhao, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-19]

8:20 am: Empirical and theoretical examination of the noise performance of prototype polycrystalline silicon active pixel arrays, Martin Koniczek, Larry E. Antonuk, Youcef El-Mohri, Albert K. Liang, Qihua Zhao, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-20]

8:40 am: Imaging performance of CMOS and a-Si:H flat panel detectors for C-Arm fluoroscopy and cone-beam CT, Niral Sheth, Matthew Jacobson, Wojciech Zbijewski, Johns Hopkins Univ. (USA); Gerhard Kleinszig, Sebastian Vogt, Siemens Healthineers (Germany); William S. Anderson, Johns Hopkins Univ. School of Medicine (USA); Clifford Weiss, Johns Hopkins Univ. (USA); Greg Osgood, The Johns Hopkins Hospital (USA); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-21]

9:00 am: X-ray performance of new high dynamic range CMOS detector, Arundhuti Ganguly, Pieter G. Roos, Jiann M. Yu, Steven Freestone, Varex Imaging Corp. (USA); Donald B. Hondongwa, Dartmouth College (USA) and Varex Imaging (USA); Richard E. Colbeth, Ivan P. Mollov, Varex Imaging Corp. (USA) . . . . . . . . . .[10573-22]

9:20 am: Investigation of random gain variations in columnar CsI:Tl using single x-ray photon imaging, Adrian F. Howansky, A.R. Lubinsky, Stony Brook Univ. (USA); S.K. Ghose, Brookhaven National Laboratory, Photon Sciences Division (USA); Katsuhiko Suzuki, Hamamatsu Photonics, K.K. (Japan); Wei Zhao, Stony Brook Univ. (USA) . .[10573-23]




Sun.–Tues. 11–13 Feb. 2018





Sun.–Tues. 11–13 Feb. 2018




TUESDAY 13 FEBRUARY


SESSION 5ROOM: SALON C . . . . . . . . TUE 10:10 AM TO

12:10 PM

CT Systems and AlgorithmsSession Chairs: Rebecca Fahrig, Siemens Healthineers (Germany);

Kirsten Boedeker, Toshiba Medical Research Institute USA, Inc. (USA)

10:10 am: CT metal artifact reduction using MR image patches, Jonathan Scharff Nielsen, Technical Univ. of Denmark (Denmark); Jens M. Edmund, Gentofte and Herlev Hospital (Denmark) and Niels Bohr Institute (Denmark) and Univ. of Copenhagen (Denmark); Koen Van Leemput, Massachusetts General Hospital (USA) and Technical Univ. of Denmark (Denmark) . . . . . . . . . . . . . . . . . .[10573-24]

10:30 am: Metal artifact reduction for radiation therapy: a simulation study, Yannan Jin, GE Global Research (USA); Drosoula Giantsoudi, Massachusetts General Hospital (USA) and Harvard Medical School (USA); Lin Fu, GE Global Research (USA); Joost Verburg, Massachusetts General Hospital (USA) and Harvard Medical School (USA); Lars Gjesteby, Ge Wang, Rensselaer Polytechnic Institute (USA); Harald Paganetti, Massachusetts General Hospital (USA) and Harvard Medical School (USA); Bruno De Man, GE Global Research (USA) .[10573-25]

10:50 am: High-resolution extremity cone-beam CT with a CMOS detector: evaluation of a clinical prototype in quantitative assessment of bone microarchitecture, Qian Cao, Michael Brehler, Alejandro Sisniega, Steven W. Tilley II, Muhammad Mahdi Shiraz Bhruwani, Joseph W. Stayman, Johns Hopkins Univ. (USA); John Yorkston, Carestream Health, Inc. (USA); Jeffrey H. Siewerdsen, Wojciech Zbijewski, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-26]

SESSION 9ROOM: SALON B . . . . . . . . TUE 10:10 AM TO

12:10 PM

Image Features10:10 am: HoDOr: histogram of differential orientations for rigid landmark tracking in medical images, Abhishek Tiwari, Kedar A. Patwardhan, Samsung R&D Institute India - Bangalore (India) . . . . . . . . . . . . . . . . . . . . . .[10574-44]

10:30 am: An airway segmentation algorithm using novel methods of regularized path-gradient and freeze-and-grow propagation, Syed Ahmed Nadeem, Eric A. Hoffman, The Univ. of Iowa (USA); Jered P. Sieren, VIDA Diagnostics, Inc. (USA); Punam K. Saha, The Univ. of Iowa (USA) . . . . . . . . . . . . . . . . . .[10574-45]

10:50 am: Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCTs, Sureerat Reaungamornrat, Mahidol Univ. (Thailand); Aaron Carass, Johns Hopkins Univ. (USA); Yufan He, Johns Hopkins Univ (USA); Peter Calabresi, The Johns Hopkins Hospital (USA); Jerry L. Prince, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-46]

11:10 am: A temporal-frequency variant on robust-principle component analysis for segmentation of motile cilia in optical coherence tomography images, James P. McLean, Yuye Ling, Christine Hendon, Columbia Univ. (USA) . . . . . . . . .[10574-47]

11:30 am: Classification of malignant and benign liver tumors using a radiomics approach, Martijn Starmans, Razvan L. Miclea, Sebastian R. van der Voort, Erasmus MC (Netherlands); Wiro J. Niessen, Erasmus MC (Netherlands) and Technische Univ. Delft (Netherlands); Maarten G. Thomeer, Stefan Klein, Erasmus MC (Netherlands). . . . . . . . . . . . .[10574-48]

11:50 am: Quantitative phase and texture angularity analysis for brain white matter lesions, Shalese Bexandall, Shrushrita Sharma, Peng Thai, Glen Pridham, Yunyan Zhang, Univ. of Calgary (Canada) . . . . . . . . . . . . . . . . . . .[10574-49]

SESSION 5ROOM: HUNTERS CREEK . TUE 10:10 AM TO

12:10 PM

Breast ISession Chairs: Heang-Ping Chan,

Univ. of Michigan Health System (USA); Susan M. Astley, The Univ. of

Manchester (UK)

10:10 am: Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme, Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-24]

10:30 am: Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-25]

10:50 am: Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features, Rui Hou, Duke Univ. (USA); Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey Marks, Lorraine King, Duke Univ. School of Medicine (USA); Carlo C. Maley, Arizona State Univ. (USA); Shelley Hwang, Joseph Y. Lo, Duke Univ. School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-26]

11:10 am: Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs, Hui Li, Maryellen L. Giger, Kayla R. Mendel, John Lee, Li Lan, The Univ. of Chicago (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-27]

11:30 am: Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis, Kayla R. Mendel, Hui Li, Deepa Sheth, Maryellen L. Giger, The Univ. of Chicago (USA) . . . . . . . . . . . . .[10575-28]

SESSION 9ROOM: MONTROSE TUE 10:10 AM TO 12:10

PM

CancerSession Chairs: Vikram D.

Kodibagkar, Arizona State Univ. (USA); Baohong Yuan, The Univ. of

Texas at Arlington (USA)

10:10 am: Determining the importance of parameters extracted from multi-parametric MRI in the early prediction of the response to neo-adjuvant chemotherapy in breast cancer, Amirhessam Tahmassebi, Katja Pinker-Domenig, Florida State Univ. (USA); Anke Meyer-Baese, Florida State University (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-43]

10:30 am: End-to-end breast ultrasound lesions recognition with a deep learning approach, Moi Hoon Yap, Manu Goyal, Manchester Metropolitan Univ. (UK) . . . . . . . . . . . . . . . . . . . . . . .[10578-44]

10:50 am: A real-time 4-bit imaging electrical impedance sensing biopsy needle for prostate cancer detection, Alicia Everitt, Dartmouth College (USA); Preston Manwaring, Rytek Medical, Inc. (USA); Ryan J. Halter, Dartmouth College (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-45]

11:10 am: A semi-automatic validation tool for whole mouse metastatic tumor molecular imaging using the cryo-imaging cancer imaging and therapy platform (CITP), Yiqiao Liu, Case Western Reserve Univ. (USA); Madhu Gargesha, BioInVision, Inc. (USA); Mohammed Qutaish, Zhuxian Zhou, Zhengrong Lu, Case Western Reserve Univ. (USA); David L. Wilson, Case Western Reserve Univ. (USA) and BioInVision, Inc. (USA) [10578-46]

11:30 am: Interrogation of evolving tumor vasculature using high-resolution CT imaging and a nanoparticle contrast agent, Ketankumar Ghaghada, Zbigniew Starosolski, Igor Stupin, Texas Children’s Hospital (USA); Poonam Sarkar, Baylor College of Medicine (USA); Ananth Annapragada, Texas Children’s Hospital (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-47]


SESSION 2ROOM: SAON A . . . . . . . . . TUE 10:10 AM TO

12:10 PM

Keynote and Medical RoboticsSession Chairs: Baowei Fei,

Emory Univ. (USA), Georgia Institute of Technology (USA);

Robert J. Webster III, Vanderbilt Univ. (USA)

10:10 am: Review of Interventional and Point-of-Care Imaging (Keynote Presentation), Cameron Piron, Synaptive Medical (Canada) . . . . . . . . .[10576-7]

11:10 am: Toward image-guided partial nephrectomy with the Da Vinci robot: exploring intraoperative re-registration approaches, James M. Ferguson, Vanderbilt Univ. (USA); Leon Y. Cai, Vanderbilt Univ. School of Medicine (USA); Alexander Reed, Michael Siebold, Vanderbilt Univ. (USA); Smita De, Stanley D. Herrell, Vanderbilt Univ. Medical Ctr. (USA); Robert J. Webster, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . .[10576-8]

11:30 am: Feasibility of photoacoustic guided hysterectomies with the Da Vinci robot, Margaret Allard, Joshua Shubert, Muyinatu A. Lediju Bell, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . .[10576-9]

11:50 am: Known-component registration for robotic drill guide positioning in spine pedicle screw placement, Thomas Yi, Vignesh Ramchandran, Jeffrey H. Siewerdsen, Ali Uneri, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . [10576-10


Sun.–Tues. 11–13 Feb. 2018





Sun.–Tues. 11–13 Feb. 2018




TUESDAY 13 FEBRUARY


SESSION 5 CONTINUEDROOM: SALON C . . . . . . . . TUE 10:10 AM TO

12:10 PM

11:10 am: X-ray cone-beam imaging of the entire spine in the weight-bearing position, Frédéric Noo, The Univ. of Utah (USA); Andreas Fieselmann, Siemens Healthineers (Germany); Mehmet B. Oktay, The Univ. of Utah (USA); Magdalena Herbst, Ludwig Ritschl, Sebastian Vogt, Thomas Mertelmeier, Siemens Healthineers (Germany) . . . . . . . . . . . . . . . . . .[10573-27]

11:30 am: Implementation of a piecewise-linear dynamic attenuator, Picha Shunhavanich, N. R. Bennett, Stanford Univ. (USA); Scott S. Hsieh, Univ. of California, Los Angeles (USA); Norbert J. Pelc, Stanford Univ. (USA) . . . . .[10573-28]

11:50 am: Dynamic beam filtering for miscentered patients, Andrew Mao, William Shyr, Grace J. Gang, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . [10573-29]

TUESDAY/WEDNESDAY POSTER VIEWING

ROOM: SALON D/E . . 12:00 PM TO 9:00 PM

Posters will be on display Tuesday and Wednesday with extended viewing until 9:00 pm on Tuesday. The poster session with authors in attendance will be Wednes-day evening from 5:30 to 7:00 pm. Award winners will be identified with ribbons during the reception. Award announcement times are listed in the conference schedule.

Lunch Break . . . . Tue 12:10 pm to 1:20 pm

Award AnnouncementsROOM: SALON B .12:10 PM TO 12:15 PM

The Image Processing conference RFW runners up and poster award recipients will be recognized and

certificates distributed.


SESSION 5 CONTINUEDROOM: HUNTERS CREEK . TUE 10:10 AM TO

12:10 PM

11:50 am: Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics, Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski, Duke Univ. (USA) . . . . . . . . . . . . . . . . .[10575-29]





SESSION 9 CONTINUEDROOM: SALON B . . . . . . . . TUE 10:10 AM TO

12:10 PM

SESSION 9 CONTINUEDROOM: MONTROSE . . . . . TUE 10:10 AM TO

12:10 PM

11:50 am: Automatic segmentation of corneal ulcer area based on ocular staining images, Lijie Deng, Xiaoying Tang, Sun Yat-Sen Univ. (China) . . . . . .[10578-48]


10573 continues on page 43 Æ 10574 continues on page 43Æ 10575 continues on page 43 Æ 10576 continues on page 43 Æ 10578 continues on page 43 Æ

SESSION 2 CONTINUEDROOM: SAON A . . . . . . . . . TUE 10:10 AM TO

12:10 PM






Sun.–Tues. 11–13 Feb. 2018





Sun.–Tues. 11–13 Feb. 2018




TUESDAY 13 FEBRUARY


SESSION 10ROOM: MONTROSE . . . . . . TUE 1:20 PM TO

3:00 PM

Imaging AgentsSession Chairs: Vikram D.

Kodibagkar, Arizona State Univ. (USA); Changqing Li, Univ. of

California, Merced (USA)

1:20 pm: Optimization of an iodine-based nanoparticle contrast agent for molecular CT imaging, Ketankumar Ghaghada, Chandreshkumar Patel, Ananth Annapragada, Texas Children’s Hospital (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-49]

1:40 pm: Molecular contrast enhancement of pump-probe optical coherence tomography (PP-OCT) by methylene blue loaded PLGA particles, Jorge Palma-Chavez, Wihan Kim, Brian E. Applegate, Phapanin P. Charoenphol, Javier A. Jo, Texas A&M Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-50]

2:00 pm: Enlarging the field of view in magnetic particle imaging using a moving table approach, Patryk Szwargulski, Nadine Gdaniec, Matthias Graeser, Martin Möddel, Florian Griese, Tobias Knopp, Universitätsklinikum Hamburg-Eppendorf (Germany) .[10578-51]

2:20 pm: Validation of ultrasound-switchable fluorescence imaging via micro-CT, Baohong Yuan, Tingfeng Yao, Shuai Yu, The Univ. of Texas at Arlington (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-52]

2:40 pm: Direct prior regularization from anatomical images for cone beam x-ray luminescence computed tomography reconstruction, Peng Gao, Hongbing Lu, Fourth Military Medical Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10578-53]

Coffee Break . . . . . Tue 3:00 pm to 3:30 pm

SESSION 3ROOM: SALON A . . . . .TUE 1:20 TO 3:00 PM

Image Registration1:20 pm: Clustered iterative sub-atlas registration for improved deformable registration using statistical shape models, Benjamin Ramsay, Tharindu S. De Silva, Runze Han, Michael D. Ketcha, Ali Uneri, Joseph Goerres, Niral Sheth, Matt Jacobson, Johns Hopkins Univ. (USA); Sebastian Vogt, Gerhard Kleinszig, Siemens Healthineers (Germany); Greg M. Osgood, Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-11]

1:40 pm: Nonrigid registration for laparoscopic liver surgery using sparse intraoperative data, Jon S. Heiselman, Jarrod A. Collins, Logan W. Clements, Jared A. Weis, Vanderbilt Univ. (USA); Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA); Sunil K. Geevarghese, Vanderbilt Univ. Medical Ctr. (USA); T. Peter Kingham, William R. Jarnagin, Memorial Sloan-Kettering Cancer Ctr. (USA); Michael I. Miga, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . .[10576-12]

2:00 pm: Real-time, image-based 3D-2D registration for ultrasound-guided spinal interventions, Tharindu S. De Silva, Ali Uneri, Xiaoxuan Zhang, Micheal D. Ketcha, Runze Han, Matt Jacobson, Niral Sheth, Johns Hopkins Univ. (USA); Sebastian Vogt, Gerhard Kleinszig, Siemens Healthineers (Germany); Alan Belzberg, Dan Sciubba, Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-13]

2:20 pm: Influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation, Thilo Sothmann, Tobias Gauer, René Werner, Universitätsklinikum Hamburg-Eppendorf (Germany) . . . . . . . . . . . . . . . . . .[10576-14]

2:40 pm: Deformable registration of radiation dose lines to delayed contrast-enhanced magnetic resonance images for assessment of myocardial lesion formation following proton beam therapy, Maryam E. Rettmann, Atsushi Suzuki, Amanda Deisher, Songyun Wang, Helge Lehmann, Stephan Hohmann, Hiroki Konishi, Jon Kruse, Jack Cusma, Laura Newman, Kay Parker, Michael Herman, Douglas Packer, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . . . . .[10576-15]


SESSION 6ROOM: HUNTERS CREEK . . . . . TUE 1:20 TO

3:00 PM

Cardiac, Vessels, and NovelSession Chairs: Clarisa I. Sánchez,

Radboud Univ. Medical Ctr. (Netherlands); Horst K. Hahn, Fraunhofer MEVIS (Germany)

1:20 pm: A quality score for coronary artery tree extraction results, Qing Cao, Alexander Broersen, Leiden Univ. Medical Ctr. (Netherlands); Pieter H Kitslaar, Leiden Univ. Medical Ctr. (Netherlands) and Medis medical imaging systems bv (Netherlands); Boudewijn P. F. Lelieveldt, Jouke Dijkstra, Leiden Univ. Medical Ctr. (Netherlands) . . . . . . . .[10575-30]

1:40 pm: Aortic root segmentation in 4D transesophageal echocardiography, Shubham Chechani, Rahul Suresh, Kedar A. Patwardhan, Samsung R&D Institute India - Bangalore (India) . . . . . . .[10575-31]

2:00 pm: Automated assessment of aortic and main pulmonary arterial diameters using model-based blood vessel segmentationfor predicting chronic thromboembolic pulmonary hypertension in low-dose CT lung screening, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Tokushima Univ. (Japan); Toshihiko Sugiura, Nobuhiro Tanabe, Chiba Univ. (Japan); Masahiko Kusumoto, National Cancer Ctr.

Hospital East (Japan); Kenji Eguchi, Teikyo Univ. (Japan); Masahiro Kaneko, Tokyo Health Service Association (Japan) . . . . . . . . . . . . .[10575-32]

2:20 pm: Computer aided diagnosis system for automated label-free early detection of oral epithelial cancer and dysplasia based on autofluorescence lifetime imaging endoscopy, Javier A. Jo, Shuna Cheng, Rodrigo Cuenca, Elvis Duran, Bilal Malik, Kristen C. Maitland, Texas A&M Univ. (USA); Beena Ahmed, Texas A&M Univ. at Qatar (Qatar); Yi-Shing Lisa Cheng, John Wright, Texas A&M Univ. College of Dentistry (USA) . . . . . . . . . . . . . . . [10575-33]

2:40 pm: Identification and functional characterization of HIV-associated neurocognitive disorders with large-scaleGranger causality analysis on resting-state functional MRI, Udaysankar Chockanathan, Univ. of Rochester Medical Ctr. (USA); Adora M. DSouza, Anas Z. Abidin, Univ. of Rochester (USA); Giovanni Schifitto, Axel Wismüller, Univ. of Rochester Medical Ctr. (USA). . [10575-34]


SESSION 10ROOM: SALON B . . . . .TUE 1:20 TO 3:00 PM

Deep Learning: Lesions and Pathologies

1:20 pm: MRI tumor segmentation with densely connected 3D CNN, Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Chenliang Xu, Axel Wismüller, Univ. of Rochester (USA) . . . . . . . . . . . . .[10574-50]

1:40 pm: Quantification of lung abnormalities in cystic fibrosis using deep networks, Filipe Marques, Erasmus MC (Netherlands); Marleen de Bruijne, Erasmus MC (Netherlands) and Univ. of Copenhagen (Denmark); Florian Dubost, Erasmus MC (Netherlands) . . . . .[10574-51]

2:00 pm: Deep learning for biomarker regression: application to osteoporosis and emphysema on chest CT scans, German Gonzalez Serrano, Sierra Research S.L. (Spain); George R. Washko M.D., Raúl San José Estépar, Brigham and Women’s Hospital (USA) . . . . . . . . . . . . . . .[10574-52]

2:20 pm: Microaneurysm detection using deep learning and interleaved freezing, Piotr Chudzik, Univ. of Lincoln (UK); Somshubra Majumdar, Univ. of Illinois (USA); Francesco Calivá, Bashir Al-Diri, Andrew Hunter, Univ. of Lincoln (UK) . . . . . . . . . . . . . . . . . . . . . . .[10574-53]

2:40 pm: Dataset variability leverages white-matter lesion segmentation performance with convolutional neural network, Žiga Špiclin, Franjo Pernuš, Boštjan Likar, Tim Jerman, Domen Ravnik, Univ. of Ljubljana (Slovenia) . . . .[10574-54]


SESSION 6ROOM: SALON C . . . . .TUE 1:20 TO 3:00 PM

Keynote and Innovations in Imaging Systems

Session Chairs: Joseph Y. Lo, Carl E. Ravin Advanced Imaging Labs.

(USA); Taly Gilat Schmidt, Marquette Univ. (USA)

1:20 pm: Clinical Applications of Optical Imaging Techniques in the Breast (Keynote Presentation), Wei T. Yang, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) [10573-30]

2:00 pm: Design, construction, and initial results of a prototype multi-contrast x-ray breast imaging system, Ke Li, Ran Zhang, John Garrett, Yongshuai Ge, Xu Ji, Guang-Hong Chen, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . . .[10573-31]

2:20 pm: Lung cancer, respiratory 3D motion imaging, with a 19 focal spot kV x-ray tube and a 60 fps flat panel imager, Douglas Boyd, Samuel Song, Vitaliy Ziskin, Edward Seppi, Roy Rand, Austin Ely, Namho Kim, Larry Partain, TeleSecurity Sciences, Inc. (USA); Michael Weil, Sirius Medicine (USA); Megan Daly, UC Davis School of Medicine (USA); John Boone, UC Davis Medical Ctr. (USA); Stanley Benedict, UC Davis School of Medicine (USA); Carlo Tognina, Edward Shapiro, Varex Imaging Corp. (USA) . . . . . . . . . . . . . . . . .[10573-32]

2:40 pm: High-spatial-resolution nanoparticle x-ray fluorescence tomography, Jakob C. Larsson, Carmen Vogt, William Vågberg, Muhammet Toprak, KTH Royal Institute of Technology (Sweden); Johanna Dzieran, Marie Arsenian-Henriksson, Karolinska Institutet (Sweden); Hans M. Hertz, KTH Royal Institute of Technology (Sweden) [10573-33]




Sun.–Tues. 11–13 Feb. 2018





Sun.–Tues. 11–13 Feb. 2018




TUESDAY 13 FEBRUARY


SESSION 7ROOM: SALON C . TUE 3:30 PM TO 4:50 PM

Photon Counting Detectors

Session Chairs: Shiva Abbaszadeh, Univ. of Illinois (USA); Mats

Danielsson, KTH Royal Institute of Technology (Sweden)

3:30 pm: Count statistics and pileup correction for nonparalyzable photon counting detectors with finite pulse length, Fredrik Grönberg, Martin Sjölin, Mats Danielsson, KTH Royal Institute of Technology (Sweden) . . . . . . . . .[10573-34]

3:50 pm: Spatio-energetic cross-talk in photon counting detectors: numerical detector model (PXtalk32) and workflow for CT image quality assessment, Katsuyuki Taguchi, The Johns Hopkins Univ. School of Medicine (USA); Karl Stierstorfer, Siemens Healthineers (Germany); Christoph Polster, Siemens Healthineers (Germany) and Klinikum der Univ. München (Germany); Okkyun Lee, The Johns Hopkins Univ. School of Medicine (USA); Steffen Kappler, Siemens Healthineers (Germany) . . . . . . . .[10573-35]

4:10 pm: A count rate-dependent method for spectral distortion correction in photon counting CT, Jannis Dickmann, Deutsches Krebsforschungszentrum (Germany) and KTH Royal Institute of Technology (Sweden) and Technische Univ. Darmstadt (Germany); Joscha Maier, Stefan Sawall, Deutsches Krebsforschungszentrum (Germany); Christian Broennimann, DECTRIS Ltd. (Switzerland); Marc Kachelriess, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . . . . [10573-36]

4:30 pm: Frequency dependent DQE of photon counting detector with spectral degradation and cross-talk, Paurakh L. Rajbhandary, Mats Persson, Norbert J. Pelc, Stanford Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-37]

WORKSHOP: ROOM: SALON C TUE 5:00 PM TO 7:00 PM

Deep Learning for Imaging PhysicsSee Special Events for more

information.

SESSION 11ROOM: SALON B . TUE 3:30 PM TO 4:50 PM

Deep Learning: Generative Adversarial Networks

3:30 pm: Modelling the progression of Alzheimer’s disease in MRI using generative adversarial networks, Christopher Bowles, Imperial College London (UK); Roger Gunn, Imanova, Imperial College London (UK); Alexander Hammers, King’s College London (UK); Daniel Rueckert, Imperial College London (UK) . . . . . . . . . . . . . . . . . . . . . . .[10574-55]

3:50 pm: Learning implicit brain MRI manifolds with deep learning, Camilo Bermudez, Vanderbilt Univ. (USA); Andrew J. Plassard, L. Taylor Davis, Allen T. Newton, Vanderbilt Univ. (USA); Susan M. Resnick, National Institutes of Health (USA); Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10574-56]

4:10 pm: Chest x-ray generation and data augmentation for cardiovascular abnormality classification, Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, IBM Research - Almaden (USA) . . . . . . . . . . . . .[10574-57]

4:30 pm: Contextual loss functions for optimization of convolutional neural networks predicting pseudo CTs from MRI, Marijn van Stralen, Univ. Medical Ctr. Utrecht (Netherlands) and MRIguidance B.V. (Netherlands); Yuan Zhou, Technische Univ. Delft (Netherlands); Phillip J. Wozny, Utrecht Univ. (Netherlands); Peter R. Seevinck, Univ. Medical Ctr. Utrecht (Netherlands) and MRIguidance B.V. (Netherlands); Marco Loog, Technische Univ. Delft (Netherlands) . . . . . . .[10574-58]

SESSION 7ROOM: HUNTERS CREEK . . .TUE 3:30 TO

5:00 PM

PROSTATEx Lessons Learned and 2019 Challenge

Session Chairs: Samuel G. Armato III, The Univ. of Chicago (USA); Hiroshi Fujita, Gifu

Univ. School of Medicine (Japan)

See Special Events for more information.

WORKSHOPROOM: SALON D/E . . . . . . . .TUE 5:00 TO

7:00 PM

Live DemonstrationsSession Chairs: Lubomir M.

Hadjiiski, Univ. of Michigan Health System (USA); Horst K. Hahn, Fraunhofer MEVIS (Germany)


SESSION 4ROOM: SALON A

TUE 3:30 TO 5:00 PM

Advances in Image-Guided Procedures: A Multi-

Disciplinary Joint ForumAdvances in image guidance and ther-apeutic approach have profoundly shaped the state of the art in medical intervention - from image-guided radi-ation therapy (IGRT) and surgery (IGS) to the interventional radiology (IR) suite. Key to these advances have been mul-tidisciplinary translational research of physicists, biomedical engineers, and computer scientists working with sur-geons, radiologists, and oncologists to bring new technologies to bear in emerging therapeutic approaches.

This Special Session features invited speakers with presentations and panel discussion on recent advances and emerging methods in the decade ahead.

The Special Session offers a joint forum for SPIE conference attendees and clinicians from the UT MD Anderson Cancer Center.

WORKSHOPROOM: SALON A

TUE 5:00 TO 7:00 PM

Selected Papers from the Journal of Medical Imaging Special Issue


SESSION 11ROOM: MONTROSE . . . . . . . . TUE 3:30 PM

TO 4:50 PM

Bone and Musculoskeletal Session Chairs: Alejandro F. Frangi,

The Univ. of Sheffield (UK); Axel Wismüller, Univ. of Rochester

Medical Ctr. (USA)3:30 pm: Robust quantitative assessment of trabecular microarchitecture in extremity cone-beam CT using optimized segmentation algorithms, Michael Brehler, Qian Cao, Kendall F. Moseley, Greg M. Osgood, Carol D. Morris, Shadpour Demehri, Johns Hopkins Univ. (USA); John Yorkston, Carestream Health, Inc. (USA); Jeffrey H. Siewerdsen, Wojciech Zbijewski, Johns Hopkins Univ. (USA) . . . . .[10578-54]3:50 pm: Automatic quantification framework to detect cracks in teeth, Hina Shah, Kitware, Inc. (USA); Pablo Hernandez-Cerdan, Massey Univ. (New Zealand); Francois Budin, Deepak Chittajallu, Kitware, Inc. (USA); Rick Walter, Andre Mol, Asma Khan, The Univ. of North Carolina at Chapel Hill (USA); Beatriz Paniagua, Kitware, Inc. (USA) . . .[10578-55]4:10 pm: MRI-based active shape model of the human proximal femur using fiducial and secondary landmarks and its validation, Xiaoliu Zhang, Cheng Chen, The Univ. of Iowa (USA); Sean Boone, Vivek Joshi, Arakua Welbeck, NYU School of Medicine (USA); Guoyuan Liang, The Univ. of Iowa (USA); Gregory Chang, NYU School of Medicine (USA); Punam K. Saha, The Univ. of Iowa (USA) . . . . . . . . . . .[10578-56]4:30 pm: Micro-CT analysis of trabecular parameters gradients in femurs of mice affected by chronic kidney disease, Daniel W. Shin, Alexander R. Podgorsak, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Kenneth Seldeen, Lee Chaves, Amanda Honan, Shruthi Thomas, Sham Abyad, Bruce Troen, Rabi Yacoub, Univ. at Buffalo (USA); Ciprian N. Ionita, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . .[10578-57]

Award AnnouncementsROOM: HUNTER’S CREEK

4:50 PM TO 5:00 PM

The Biomedical Applications in Molecular, Structural, and Functional Imaging

conference RFW runners up and poster award recipients will be recognized and


CONFERENCE 10578 ENDSCONFERENCE 10574 ENDS



WORKSHOPROOM: HUNTERS CREEK . . TUE 5:00 TO

7:00 PM

19th SPIE/IFCARS Joint Workshop on the Digital Operating

Room: Clinical Applications of Multidisciplinary Computational

AnatomySee Special Events for more

information.

10573 continues on page 45 Æ 10575 continues on page 45 Æ 10576 continues on page 45 Æ


Tues.–Thurs. 13–15 Feb. 2018


Tues.–Fri. 13–16 Feb. 2018







WEDNESDAY 14 FEBRUARY


SESSION 8ROOM: HUNTERS CREEK . . . . WED 8:00 TO

9:40 AM

Keynote and EyeSession Chairs: Kensaku Mori,

Nagoya Univ. (Japan); Lubomir M. Hadjiiski, Univ. of Michigan Health System (USA)

8:00 am: Crowdsourcing Biomedical Research: Leveraging Communities as Innovation Engines (Keynote Presentation), Gustavo A. Stolovitzky, IBM Thomas J. Watson Research Ctr. (USA) and Icahn School of Medicine at Mount Sinai (USA) . . . . . . . . [10575-35]

9:00 am: Automated segmentation of geographic atrophy using deep convolutional neural networks, Zhihong Hu, Ziyuan Wang, Doheny Eye Institute (USA); SriniVas Sadda, Doheny Eye Institute (USA) and David Geffen School of Medicine, Univ. of California Los Angeles (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-36]

9:20 am: Affordable and easy-to-use diagnostic tool for detection of keratoconus using smartphone, Behnam Askarian, Jo Woon Chong, Fatemehsadat Tabei, Texas Tech Univ. (USA) . .[10575-37]

Coffee Break . . . Wed 9:40 am to 10:10 am

SESSION 8ROOM: SALON C . . . .WED 8:00 TO 9:40 AM

CT Image Quality and DoseSession Chairs: Thomas Flohr,

Siemens Healthineers (Germany); Lifeng Yu, Mayo Clinic (USA)

8:00 am: Joint optimization of fluence field modulation and regularization for multi-task objectives, Grace J. Gang, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-38]

8:20 am: Can image-domain filtering of FBP CT reconstructions match low-contrast performance of iterative reconstructions?, Sarah E. Divel, Stanford Univ. (USA); Scott S Hsieh, Univ. of California, Los Angeles (USA); Jia Wang, Norbert J. Pelc, Stanford Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-39]

8:40 am: From patient-informed to patient-specific organ dose estimation in clinical computed tomography, Wanyi Fu, William P. Segars, Ehsan Abadi, Shobhit Sharma, Anuj J. Kapadia, Ehsan Samei, Duke Univ. (USA) . . . . . . .[10573-40]

9:00 am: Automated exposure control for CT using a task-based image quality metric, Parag Khobragade, Marquette Univ. (USA); Jiahua Fan, Franco Rupcich, Domic Crostty, GE Healthcare (USA); Taly Gilat Schmidt, Marquette Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-41]

9:20 am: A virtual clinical trial using a scanner-specific CT simulator and ‘textured’ XCAT phantoms to characterize noise properties of CT images across reconstruction algorithms, Ehsan Abadi, Wiliam P. Segars, Brian Harrawood, Anuj J. Kapadia, Ehsan Samei, Carl E. Ravin Advanced Imaging Labs. (USA) . . . . . . . . . . . . . . . . .[10573-42]


SESSION 5ROOM: SALON A . . . .WED 8:00 TO 9:40 AM

Neurological Procedures and Technologies

8:00 am: Model-based correction for brain shift in deep brain stimulation burr hole procedures: a comparison using interventional magnetic resonance imaging, Ma Luo, Vanderbilt Univ. (USA); Alastair J. Martin, Paul S. Larson, Univ. of California, San Francisco (USA); Michael I. Miga, Vanderbilt Univ. (USA) . . . .[10576-16]8:20 am: Resection-induced brain-shift compensation using vessel-based methods, Fanny Morin, Univ. Grenoble Alpes (France) and Ctr. National de la Recherche Scientifique (France); Hadrien Courtecuisse, Univ. de Strasbourg (France) and Ctr. National de la Recherche Scientifique (France) and Institut National de Recherche en Informatique et en Automatique (France); Ingerid Reinertsen, SINTEF (Norway); Florian Le Lann, Olivier Palombi, Ctr. Hospitalier Univ. Grenoble Alpes (France); Yohan Payan, Ctr. National de la Recherche Scientifique (France) and Univ. Grenoble Alpes (France); Matthieu Chabanas, Univ. Grenoble Alpes (France) and Ctr. National de la Recherche Scientifique (France) and Institut National Polytechnique de Grenoble (France) . . . . . . . . . . . .[10576-17]8:40 am: X-ray image guidance workflow development for in-vivo aneurysm treatment using with a new retrievable asymmetric flow diverter (RAFD), Ciprian N. Ionita, Ashwin C. Venkataraman, Alexander R. Podgorsak, Toshiba Stroke and Vascular Research Ctr. (USA); Kelsey N. Sommer, Univ. at Buffalo (USA); Lauren M. Shepard, Adnan H. Siddiqui, Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . .[10576-18]9:00 am: Image updating for brain deformation compensation: cross-validation with intraoperative ultrasound, Xiaoyao Fan, Dartmouth College (USA); David W. Roberts, Dartmouth College (USA) and Dartmouth Hitchcock Medical Ctr. (USA) and Norris Cotton Cancer Ctr. (USA); Jonathan D. Olson, Chen Li, Dartmouth College (USA); Keith D. Paulsen, Dartmouth College (USA) and Norris Cotton Cancer Ctr. (USA). . . . . . . . . . . . . . . . . . .[10576-19]9:20 am: Neurosurgical burr hole placement using the Microsoft HoloLens, Emily Rae, Andras Lasso, Matthew S. Holden, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada); Evelyn Morin, Queen’s Univ. (Canada); Ron Levy, Kingston General Hospital (Canada); Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . .[10576-20]


SESSION 1ROOM: SALON B . . . .WED 8:00 TO 9:40 AM

Imaging Informatics for Precision Medicine

Session Chair: Wyatt Tellis, Univ. of California, San Francisco (USA)

8:00 am: Differentiation among prostate cancer patients with Gleason score of 7 using histopathology image and genomic data, Kubra Karagoz, Jian Ren, David J. Foran, Michael Gatza, Xin Qi, Rutgers, The State Univ. of New Jersey (USA) . .[10579-1]

8:20 am: Fabrication of custom PCL scaffold for nasal septal perforation repair, Dominick Gadaleta, Thomas Jefferson Univ. Hospital (USA); Daniel Z. Lee, Matthew W. Peng, Nicholas Cruickshank, Rohit Shinde, Abigail Hong, Sara Pennacchi, Abel Dawit, Jayaram K. Udupa, Chamith S. Rajapakse, Univ. of Pennsylvania (USA) . . . . . . . . . . .[10579-16]

8:40 am: A hybrid correlation analysis with application to imaging genetics, Wenxing Hu, Jian Fang, Tulane Univ. (USA); Vince D. Calhoun, The Mind Research Network (USA) and The Univ. of New Mexico (USA); Yu-Ping Wang, Tulane Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . .[10579-3]

9:00 am: Intratumor heterogeneity of DCE-MRI reveal Ki-67 proliferation status in breast cancer, Hu Cheng, Ming Fan, Peng Zhang, Bin Liu, Hangzhou Dianzi Univ. (China); Guoliang Shao, Zhejiang Cancer Hospital (China); Lihua Li, Hangzhou Dianzi Univ. (China) . . . . . . . . . . . . . . . . .[10579-4]

9:20 am: Analysis of DCE-MRI features in tumor and the surrounding stroma for prediction of Ki-67 proliferation status in breast cancer, Hui Li, Ming Fan, Peng Zhang, Yuanzhe Li, Hu Cheng, Hangzhou Dianzi Univ. (China); Juan Zhang, Guoliang Shao, Zhejiang Cancer Hospital (China); Lihua Li, Hangzhou Dianzi Univ. (China) . . . . . . . . . . . . . . . . . . . . . .[10579-5]


SESSION 1ROOM: MONTROSE . . . . . . . .WED 8:00 AM

TO 9:40 AM

Perfusion and CEUS8:00 am: Perfusion flow phantoms with randomly oriented microchannels, Mark George, Jaime E. Tierney, Adam C. Luchies, Shannon Faley, Leon M. Bellan, Brett C. Byram, Vanderbilt Univ. (USA). . . .[10580-1]

8:20 am: Imaging biomarker development based on microbubble perfusion and oxygen saturation in a rat model of liver cancer, Richard Bouchard, Mohamed Naser, Nina Gonzalez Munoz, Houra Taghavi, Kiersten Maldonado, Charles Kingsley, Rony Avritscher, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10580-2]

8:40 am: Combining adaptive demodulation with SVD filtering for improved non-contrast perfusion ultrasound imaging, Jaime E. Tierney, Crystal Coolbaugh, Vanderbilt Univ. (USA); Theodore Towse, Grand Valley State Univ. (USA); Brett C. Byram, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10580-3]

9:00 am: Respiratory compensation in contrast enhanced ultrasound using image clustering, Kaizhi Wu, Nanchang Hangkong Univ. (China); Liping Jiang, The First Affiliated Hospital of Nanchang Univ. (China); Zirong Yu, Qian Deng, Xiaorui Wu, Tingting Liu, Nanchang Hangkong Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . [10580-4]

9:20 am: In-vitro high-frame-rate contrast-enhanced ultrasound particle image velocimetry in a carotid artery stent, Astrid M. Hoving, Univ. Twente (Netherlands); Evelien E. de Vries, Univ. Medical Ctr. Utrecht (Netherlands); Jason Voorneveld, Erasmus MC (Netherlands); Erik Groot Jebbink, Julia Mikhal, Michel Versluis, Univ. Twente (Netherlands); Johan G. Bosch, Erasmus Univ. Rotterdam (Netherlands); Nico de Jong, Erasmus MC (Netherlands); Gert J. de Borst, Univ. Medical Ctr. Utrecht (Netherlands); Cornelis H. Slump, Univ. Twente (Netherlands) . . . . . . . . . . . [10580-5]

Coffee Break . . . . . Wed 9:40 am to 10:10 a





Tues.–Fri. 13–16 Feb. 2018









SESSION 2ROOM: MONTROSE . . . . . . . WED 10:10 AM

TO 12:10 PM

Signal Processing and B-Mode10:10 am: B-line detection using amplitude modulation-frequency modulation (AM-FM) features, Gustavo Chau, Gabriela Mamani, Edmundo Pozo, Sergio Cerpa, Omar Zenteno, Pontificia Univ. Católica del Perú (Peru); Dante Ramos, Gilberto Peña, Gilma Fredes, Elizabeth Chura, Hospital Regional de Puno (Peru); Eduardo Ticona, Hospital Nacional Dos de Mayo (Peru); Haley Manella, Viveta Lobo, Stanford Health Care (USA); Benjamin V. Castañeda, Sociedad Peruana de Farmacología y Terapéutica Experimental (Peru); Jeremy Dahl, Stanford Univ. School of Medicine (USA); Benjamin V. Castañeda, Roberto J. Lavarello Montero, Pontificia Univ. Católica del Perú (Peru) . . . . . . . . . . . . . . . . . . . . . . .[10580-6]

10:30 am: Wavelet shrinkage-based adaptive compounding for improvement of SNR in high volume-rate ultrasound imaging, Takashi Toyomura, Teiichiro Ikeda, Misaki Hiroshima, Peifei Zhu, Hitachi, Ltd. (Japan) . . . . . . . . . . . . . . . . . .[10580-7]

10:50 am: Synthetic recovery of the complete harmonic data set, Nick Bottenus, Duke Univ. (USA) . . . . .[10580-8]

11:10 am: Real time 3D ultrasound imaging for breast 3D scan assessment, Anton Nikolaev, Radboud Univ. Nijmegen (Netherlands) . . . . . . . . . . . . . . . . .[10580-9]

11:30 am: ADMIRE applied to fundamental and harmonic data acquired using a modern clinical platform, Kazuyuki Dei, Adam C. Luchies, Brett C. Byram, Vanderbilt Univ. (USA). . .[10580-10]

11:50 am: Ultrasound beamforming using deep neural networks, Adam C. Luchies, Brett C. Byram, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10580-11]

Lunch Break . . . Wed 12:10 pm to 1:20 pm

SESSION 2ROOM: SALON B . . . . . . . WED 10:10 AM TO

12:10 PM

Big Data and Cloud TechnologySession Chair: Peter R. Bak, Humber

River Hospital (Canada)10:10 am: Cloud-based image sharing network for collaborative imaging diagnosis and consultation, Yuanyuan Yang, Jianguo Zhang, Yipin Gu, Mingqing Wang, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China); Ming Li, Huadong Hospital (China); Weiqiang Zhang, The First Hospital of Jiaxing (China); Jianyong Sun, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China) . . . . . [10579-6]

10:30 am: A data colocation grid framework for big data medical image processing: backend design, Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha Gokhale, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . [10579-7]

10:50 am: Retinal fundus images for glaucoma analysis: the RIGA dataset, Ahmed A. Almazroa, Univ. of Michigan-Kellogg Eye Ctr. (USA); Sami Alodhayb, Binrushd Ophthalmic Ctr. (Saudi Arabia); Essameldin Osman, King Saud Univ. (Saudi Arabia); Eslam Ramadan IV, Magrabi Eye & Ear Ctr. (Saudi Arabia); Mohammed Hummadi, King Fahd Medical City (Saudi Arabia); Mohammed Dlaim, Alhokama Eye Specialist Ctr. (Saudi Arabia); Muhannad Alkatee, Al Jazeera Hospital (Saudi Arabia); Kaamran Raahemifar, Ryerson Univ. (Canada); Vasudevan Lakshminarayanan, Univ. of Waterloo (Canada) . . . . . .[10579-8]

11:10 am: Frequent subgraph mining for Alzheimer disease, Fei Gao, Arizona State Univ. (USA); Leslie Baxter, Barrow Neurological Institute (USA); Kewei Chen, Banner Alzheimer’s Institute (USA); Richard J. Caselli, Mayo Clinic Arizona (USA); Teresa Wu, Jing Li, Arizona State Univ. (USA) . . .[10579-9]

11:30 am: Using deep learning for detecting gender in adult chest radiographs, Zhiyun Xue, Sameer Antani, Rodney Long, George R. Thoma, National Library of Medicine (USA) . . . . . .[10579-10]

SESSION 6ROOM: SALON A . . . . . . . . . . WED 10:10 AM

TO 12:10 PM

Ultrasound Imaging and Detection Methods

10:10 am: 3D ultrasound guidance system for permanent breast seed implantation: integrated system performance and phantom procedure, Justin A. Michael, Robarts Research Institute (Canada) and Western Univ. (Canada); Jessica R. Rodgers, Robarts Research Institute (Canada) and Biomedical Engineering Graduate Program, Western Univ. (Canada); Daniel Morton, BC Cancer Research Ctr. (Canada) and Univ. of Victoria (Canada); Deidre L. Batchelar, BC Cancer Research Ctr. (Canada); Michelle Hilts, BC Cancer Research Ctr. (Canada) and Univ. of Victoria (Canada); Aaron Fenster, Robarts Research Institute (Canada) and Western Univ. (Canada) . . . . . . . . . . . . . . .[10576-21]

10:30 am: Feature study on catheter detection in three-dimensional ultrasound, Hongxu Yang, Arash Pourtaherian, Technische Univ. Eindhoven (Netherlands); Caifeng Shan, Alexander F. Kolen, Philips Research (Netherlands); Peter H. N. de With, Technische Univ. Eindhoven (Netherlands) . . . . . . . . . . . . . . . .[10576-22]

10:50 am: Coherent needle detection in ultrasound volumes using 3D conditional random fields, Farhad Ghazvinian Zanjani, Arash Pourtaherian, Xikai Tang, Svitlana Zinger, Technische Univ. Eindhoven (Netherlands); Nenad Mihajlovic, Philips Research (Netherlands); Gary C. Ng, Phillips Healthcare (USA); Hendrikus H. M. Korsten, Catharina Hospital (Netherlands); Peter H. N. de With, Technische Univ. Eindhoven (Netherlands) . . . . . . . . . . . . . . . .[10576-23]

11:10 am: Compliant joint echogenicity in ultrasound images: towards highly visible steerable needles, Nick J. van de Berg, Technische Univ. Delft (Netherlands); Juan A. Sánchez-Margallo, SINTEF (Norway) and Univ. of Extremadura (Spain); Thomas Lango, SINTEF (Norway); John J. van den Dobbelsteen, Technische Univ. Delft (Netherlands) . . . . . . . . . . . . . . . .[10576-24]

11:30 am: Real-time transverse process detection in ultrasound, Bryan Travers, Csaba Pinter, Andras Lasso, Tamas Ungi, Ben Church, Zachary M. C. Baum, Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . .[10576-25]

SESSION 9ROOM: HUNTERS CREEK WED 10:10 AM TO

12:10 PM

Colon and ProstateSession Chairs: Janne J. Näppi, Massachusetts General Hospital

(USA); Hiroyuki Yoshida, Massachusetts General Hospital (USA)10:10 am: Detection of protruding lesion in wireless capsule endoscopy videos of small Intestine, Chengliang Wang, Zhuo Luo, Chongqing Univ. (China); Jianying Bai, Guobin Liao, Third Military Medical Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10575-38]

10:30 am: Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy, Jie Tian, Institute of Automation (China); Zhenchao Tang, Shandong Univ. (China); Zhenyu Liu, Institute of Automation (China); Xiaoyan Zhang, Yanjie Shi, Beijing Univ. Cancer Hospital & Institute (China); Shou Wang, Mengjie Fang, Institute of Automation (China); Yingshi Sun, Beijing Univ. Cancer Hospital & Institute (China); Enqing Dong, Shandong Univ. (China) . . . . . . . .[10575-39]

10:50 am: Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI, Ryan Alfano, Derek Soetemans, Western Univ. (Canada) and Lawson Health Research Institute (Canada); Glenn Bauman, Western Univ. (Canada) and Schulich School of Medicine and Dentistry (Canada); Eli Gibson, Univ. College London (UK); Mena Gaed, Robarts Research Institute (Canada); Madeleine Moussa, José Gomez-Lemus, Robarts Research Institute (Canada); Joseph Chin, London Health Sciences Ctr. (Canada); Stephen Pautler, London Health Sciences Ctr. (Canada); Aaron D. Ward, Western Univ. (Canada) and Robarts Research Institute (Canada) . . . . . . . . . . . . . . . . . . . . [10575-40]

11:10 am: Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis, Hayato Itoh, Nagoya Univ. (Japan); Yuichi Mori, Masashi Misawa, Showa Univ. Northern Yokohama Hospital (Japan); Masahiro Oda, Nagoya Univ. (Japan); Shin-ei Kudo, Showa Univ. Northern Yokohama Hospital (Japan); Kensaku Mori, Nagoya Univ. (Japan) . . . . . . . . . . [10575-41]

SESSION 9ROOM: SALON C . . . . . . . WED 10:10 AM TO

12:10 PM

Photon Counting ImagingSession Chairs: Peter B. Noel,

Klinikum rechts der Isar der Technischen Univ. München

(Germany); Hee-Joung Kim, Yonsei Univ. (Korea, Republic of)

10:10 am: Ultra-high resolution photon-counting CT reconstruction using spectral prior image constrained compressed sensing (UHR-SPICCS), Kishore Rajendran, Shengzhen Tao, Dilbar Abdurakhimova, Shuai Leng, Cynthia H. McCollough, Mayo Clinic (USA) .[10573-43]

10:30 am: Photon counting, dual energy x-ray imaging at CT count rates: measurements and implications of in-pixel charge sharing correction, Christer Ullberg, Direct Conversion AB (Sweden) and XCounter AB (Sweden); Charlotte Eriksson, XCounter AB (Sweden); Alexander Stewart, Direct Conversion AB (Sweden); Mattias Urech, XCounter AB (Sweden); Niclas Weber, Direct Conversion AB (Sweden) . . . . . . . . . . . . . . . .[10573-44]

10:50 am: Generalized linear-systems framework for performance assessment of energy-resolving photon-counting detectors, Mats Persson, Paurakh L. Rajbhandary, Norbert J. Pelc, Stanford Univ. (USA) . . . . . . . . . . . . . . . . .[10573-45]

11:10 am: Experimental evaluation of the influence of scattered radiation on quantitative spectral CT imaging, Artur Sossin, Philips Research (Germany); Michal Rokni, Philips Healthcare (Israel); Bernhard Brendel, Heiner Daerr, Axel Thran, Klaus Erhard, Philips Research (Germany) . . . . . . . . . . . . . . . . . .[10573-46]

11:30 am: Impact of photon counting detector CT on kV selection and diagnostic workflow, Wei Zhou, Michael Bruesewitz, Mayo Clinic (USA); Ahmed Halaweish, Siemens Healthineers (USA); Cynthia H. McCollough, Shuai Leng, Mayo Clinic (USA) . . . . . . . . . . . . . . . . .[10573-47]





Tues.–Fri. 13–16 Feb. 2018









SESSION 9 CONTINUEDROOM: HUNTERS CREEK WED 10:10 AM TO

12:10 PM

11:30 am: A new fractional order derivative based active contour model for colon wall segmentation, Bo Chen, Stony Brook Univ. (USA); Lihong C. Li, College of Staten Island (USA); Huafeng Wang, North China Univ. of Technology (China); Wensheng Chen, Shenzhen Univ. (China); Zhengrong Liang, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . .[10575-42]

11:50 am: Detection of colorectal masses in CT colonography: application of deep residual networks for differentiating masses from normal colon anatomy, Janne J. Näppi, Toru Hironaka, Hiroyuki Yoshida, Massachusetts General Hospital (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-43]


SESSION 6 CONTINUEDROOM: SALON A . . . . . . . . . . WED 10:10 AM

TO 12:10 PM11:50 am: Visual aid for identifying vertebral landmarks in ultrasound, Zachary M. C. Baum, Tamas Ungi, Andras Lasso, Ben Church, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada); Christopher Schlenger, Premier Chiropractic (USA); Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10576-26]


SESSION 2 CONTINUEDROOM: SALON B . . . . . . . WED 10:10 AM TO

12:10 PM11:50 am: Development of a national electronic interval cancer review for breast screening, Mark D. Halling-Brown, Mishal N. Patel, The Royal Surrey County Hospital NHS Trust (UK); Matthew G. Wallis, NIHR Cambridge Biomedical Research Ctr. (UK); Kenneth C. Young, The Royal Surrey County Hospital NHS Trust (UK) .[10579-11]


SESSION 9 CONTINUEDROOM: SALON C . . . . . . . WED 10:10 AM TO

12:10 PM

11:50 am: Development of a spectral, photon-counting micro-CT system with a translate-rotate geometry, Matthew Holbrook, Darin P. Clark, Duke Univ. (USA); Willam C. Barber, DxRay, Inc. (USA); Cristian T. Badea, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-48]






Tues.–Fri. 13–16 Feb. 2018









SESSION 10ROOM: SALON C . . . . WED 1:20 TO 3:00 PM

Multi-Energy CTSession Chairs: Maria Drangova,

Robarts Research Institute (Canada); Patrick J. La Rivière, The Univ. of

Chicago (USA)

1:20 pm: Multi-energy CT reconstructions with a non-linear full-spectral forward model, Steven W. Tilley II, Wojciech Zbijewski, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . .[10573-49]

1:40 pm: Energy dependence of SNR and DQE for effective monoenergetic imaging in spectral CT, Paurakh L. Rajbhandary, Norbert J. Pelc, Stanford Univ. (USA) . . . . . . . . . . . . . . . . .[10573-50]

2:00 pm: Three-material decomposition in multi-energy CT: impact of prior information on noise and bias, Liqiang Ren, Cynthia H. McCollough, Lifeng Yu, Mayo Clinic (USA) . . . . . . . . . . . .[10573-51]

2:20 pm: Calcium decomposition and phantomless bone mineral density measurements using dual-layer based spectral computed tomography, Kai Mei, Klinikum rechts der Isar der Technischen Univ. München (Germany); Benedikt J. Schwaiger, Felix K. Kopp, Klinikum rechts der Isar der Technischen Univ. München (Germany); Sebastian Ehn, Technische Univ. München (Germany); Alexandra Gersing, Jan Kirschke, Klinikum rechts der Isar der Technischen Univ. München (Germany); Daniela Münzel, Alexander A. Fingerle, Klinikum rechts der Isar der Technischen Univ. München (Germany); Ernst J. Rummeny, Klinikum rechts der Isar der Technischen Univ. München (Germany); Franz Pfeiffer, Thomas Baum, Klinikum rechts der Isar der Technischen Univ. München (Germany); Peter B. Noël, Klinikum rechts der Isar der Technischen Univ. München (Germany) . . . . . .[10573-52]

2:40 pm: Spectral imaging of iodine and gadolinium nanoparticles using dual-energy CT, Cristian T. Badea, Matthew Holbrook, Darin P. Clark, Duke Univ. (USA); Ketan Ghaghada, Texas Children’s Hospital (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-53]

Coffee Break . . . . Wed 3:00 pm to 3:30 pm

SESSION 10ROOM: HUNTERS CREEK . WED 1:20 PM TO

3:00 PM

Head and NeckSession Chairs: Hayit Greenspan,

Tel Aviv Univ. (Israel); Xiaofeng Yang, Emory Univ. (USA)

1:20 pm: Comparison of different deep learning approaches for parotid gland segmentation from CT images, Annika Hänsch, Michael Schwier, Fraunhofer MEVIS (Germany); Tobias Gass, Tomasz Morgas, Benjamin Haas, Varian Medical Systems, Inc. (USA); Jan Klein, Horst K. Hahn, Fraunhofer MEVIS (Germany) . . . . . . . . . . . . . . . . . .[10575-44]

1:40 pm: Detection of eardrum abnormalities using ensemble deep learning approaches, Caglar Senaras, Aaron C. Moberly, Theodoros Teknos, Garth Essig, The Ohio State Univ. (USA); Charles Elmaraghy, Nationwide Children’s Hospital (USA); Nazhat Taj-Schaal, Lianbo Yua, Metin N. Gurcan, The Ohio State Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-45]

2:00 pm: A convolutional neural network for intracranial hemorrhage detection in non-contrast CT, Ajay Patel, Rashindra Manniesing, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . .[10575-46]

2:20 pm: Deep 3D convolution neural network for brain hemorrhage classification, Kamal Jnawali, Rochester Institute of Technology (USA); Mohammad R. Arbabshirani, Geisinger Health System (USA); Navalgund Rao, Rochester Institute of Technology (USA); Alpen A. Patel, Geisinger Health System (USA) . .[10575-47]

2:40 pm: Cerebral mircobleed detection in traumatic brain injury patients using 3D convolutional neural networks, Kai Standvoss, Tanja Crijns, Lisa Goerke, Démian Janssen, Simon Kern, Timo van Niedek, Joris van Vugt, Natali Alfonso Burgos, Emma Gerritse, Justin Mol, Dion van de Vooren, Mohsen Ghafoorian, Radboud Univ. Nijmegen (Netherlands); Rashindra Manniesing, Thomas van den Heuvel, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . .[10575-48]


SESSION 7ROOM: SALON A . . . . WED 1:20 TO 3:00 PM

Enhanced Reality, Simulation, and Planning

1:20 pm: Assisted needle guidance using smart see-through glasses, Ming Li, Sheng Xu, Brad J. Wood, National Institutes of Health (USA) . . . . . . . . . . . . . .[10576-27]

1:40 pm: Exploration using holographic hands as a modality for skills training in medicine, Regina Leung, Andras Lasso, Matthew S. Holden, Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10576-28]

2:00 pm: High fidelity virtual reality orthognathic surgery simulator, Venkata S. Arikatla, Kitware, Inc. (USA); Mohit Tyagi, Altair Engineering, Inc. (India); Andinet Enquobahrie, Kitware, Inc. (USA); Tung Nguyen, George H. Blakey, Ray White, UNC School of Dentistry (USA); Beatriz Paniagua, Kitware, Inc. (USA) . . . . . . . . . . .[10576-29]

2:20 pm: Augmented reality needle ablation guidance tool for irreversible electroporation in the pancreas, Timur Kuzhagaliyev, Mirek Janatka, Francisco Vasconcelos, Neil T. Clancy, Matt Clarkson, Univ. College London (UK); Kurinchi Gurusamy, The Royal Free Hospital (UK); David J. Hawkes, Univ. College London (UK); Brian Davidson, The Royal Free Hospital (UK); Danail Stoyanov, Univ. College London (UK) . . . . . . . . . .[10576-30]

2:40 pm: ZTE MRI in a clinical CT workflow for spine surgery planning: a case study, David R. Holmes III, Dennis Hanson, Aiming Lu, Krzysztof Gorny, Carrie Carr, David Kallmes, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-31]


SESSION 3ROOM: SALON B . . . . WED 1:20 TO 3:00 PM

3D Visualization and 3D PrintingSession Chair: Brian Park, Hospital of

the Univ. of Pennsylvania (USA)1:20 pm: Assessment of visualization and interaction paradigms for medical imaging visualization, simulation and training, Alison Kahn, Evan Krueger, Erik Messier, Gabriel Diaz, Cristian A. Linte, Rochester Institute of Technology (USA) . . . . . . . . . . . . . . . . . . . . . .[10579-12]1:40 pm: Rapid 3D bioprinting from medical images: an application to bone scaffolding, Matthew W. Peng, Univ. of Pennsylvania (USA); Daniel Z. Lee, Rohit Shinde, Arbab Khalid, Abigail Hong, Sara Pennacchi, Abel Dawit, Daniel Spizner, Jayaram K. Udupa, Chamith S. Rajapakse, Univ. of Pennsylvania (USA) . . . .[10579-13]2:00 pm: Two-pass real-time direct isosurface rendering algorithm optimization for HTC Vive and low performance devices, Daniil Savchuk, Sergey Y. Belyaev, EPAM Systems, Inc. (Russian Federation) . . . . . . . . . .[10579-14]2:20 pm: Towards clinical translation of augmented orthopedic surgery: from pre-op CT to intra-op x-ray via RGBD sensing, Emerson W. Tucker, Johns Hopkins Univ. (USA) and Technische Univ. München (Germany); Javad Fotouhi, Sing Chun Lee, Mathias Unberath, Johns Hopkins Univ. (USA); Bernhard Fuerst, Verb Surgical, Inc. (USA); Alex Johnson, The Johns Hopkins Hospital (USA); Mehran Armand, Johns Hopkins Univ. Applied Physics Lab., LLC (USA); Greg M. Osgood, The Johns Hopkins Hospital (USA); Nassir Navab, Johns Hopkins Univ. (USA) and Technische Univ. München (Germany) . . . . . . . . . .[10579-15]2:40 pm: Use of patient specific 3D printed (3DP) neurovascular phantoms for mechanical assessment of devices used in image guided minimally invasive procedures, Janelle Tabaczynski, Lauren Shepard, Kelsey Sommer, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Gianni Siddiqui, Toshiba Stroke and Vascular Research Ctr. (USA); Adnan Siddiqui, Univ. at Buffalo Jacobs School of Medicine and Biomedical Sciences (USA); Ciprian N. Ionita, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA) and Univ. at Buffalo Jacobs School of Medicine and Biomedical Sciences (USA) . . . . .[10579-52]Coffee Break . . . . Wed 3:00 pm to 3:30 pm

SESSION 3ROOM: MONTROSE . . . . . . . . WED 1:20 PM

TO 3:00 PM

Ultrasound Tomography I1:20 pm: Time-domain spectral-element ultrasound waveform tomography using a stochastic quasi-Newton method, Christian Boehm, Naiara Korta Martiartu, Nicolas Vinard, ETH Zurich (Switzerland); Ivana Jovanović Balic, SonoView Acoustic Sensing Technologies (Switzerland); Andreas Fichtner, ETH Zurich (Switzerland) . . . . . . . . . . . . . . . .[10580-12]

1:40 pm: Optimized transducer configuration for ultrasound waveform tomography in breast cancer detection, Nicolas Vinard, Naiara Korta Martiartu, Christian Boehm, ETH Zurich (Switzerland); Ivana Balic, SonoView Acoustic Sensing Technologies (Switzerland); Andreas Fichtner, ETH Zurich (Switzerland) . . . . . . . . . . . . . . . .[10580-13]

2:00 pm: Solving the ultrasound inverse scattering problem of inhomogeneous media using different approaches of total least squares algorithms, Anita Carević, Univ. of Split (Croatia); Mohamed Almekkawy, Xingzhao Yun, Geunseop Lee, The Pennsylvania State Univ. (USA); Ivan Slapničar, Univ. of Split (Croatia); Jesse Barlow, The Pennsylvania State Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10580-14]

2:20 pm: Reconstruction of ultrasound tomography for cancer detection using total least squares and conjugate gradient method, Xingzhao Yun, Mohamed Almekkawy, The Pennsylvania State Univ. (USA); Anita Carević, Univ. of Split (Croatia); Jiayu He, The Pennsylvania State Univ. (USA); Ivan Slapni?ar, Univ. of Split (Croatia); Jesse Barlow, The Pennsylvania State Univ. (USA) . . . . . . . . . . . . .[10580-15]

2:40 pm: 3D ultrasound tomography, segmentation and post-processing, James Wiskin, QT Ultrasound LLC (USA) . . . . . . . . . . . . . . . . . . . . . .[10580-16]






Tues.–Fri. 13–16 Feb. 2018









SESSION 11ROOM: SALON C . . . . WED 3:30 TO 5:30 PM

Deep Learning for CTSession Chairs: Guang-Hong

Chen, Univ. of Wisconsin School of Medicine and Public Health (USA);

Marc Kachelriess, Deutsches Krebsforschungszentrum (Germany)

3:30 pm: Deep learning based cone beam CT reconstruction framework using a cascaded neural network architecture, Yinsheng Li, Guang-Hong Chen, Univ. of Wisconsin-Madison (USA) . . . . . .[10573-54]

3:50 pm: Improve angular resolution for sparse-view CT with residual convolutional neural network, Kaichao Liang, Yuxiang Xing, Tsinghua Univ. (China) . . . . . . . . . . . . . . . .[10573-55]

4:10 pm: Deep scatter estimation (DSE): feasibility of using a deep convolutional neural network for real-time x-ray scatter prediction in cone-beam CT, Joscha Maier, Stefan Sawall, Marc Kachelriess, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . . .[10573-56]

4:30 pm: Assessment of diagnostic image quality of computed tomography (CT) images of the lung using deep learning, John H. Lee, The Univ. of Chicago (USA); Byron R. Grant, Western Kentucky Univ. (USA); Jonathan H. Chung, Ingrid Reiser, Maryellen Giger, The Univ. of Chicago (USA) . . . . . . . . . . . . . . .[10573-57]

4:50 pm: Deep learning angiography (DLA): three-dimensional C-arm cone beam CT angiography generated from deep learning method using a convolutional neural network, Juan Montoya, Yinsheng Li, Charles Strother, Guang-Hong Chen, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . . .[10573-58]

5:10 pm: Multi-energy CT decomposition using convolutional neural networks, Cristian T. Badea, Duke Univ. (USA); Matthew Holbrook, Darin P. Clark, Duke Univ. Medical Ctr. (USA) . . . . . . .[10573-59]

SESSION 11ROOM: HUNTERS CREEK . . . . WED 3:30 TO

5:30 PM

Lung IISession Chairs: Georgia D. Tourassi,

Oak Ridge National Lab. (USA); Jong Hyo Kim, Seoul National Univ.

Hospital (Korea, Republic of)

3:30 pm: A custom deep learning model for chest radiography: overcoming limitations of transfer learning, Sivarama Krishnan Rajaraman, Sameer Antani, Sema Candemir, Zhiyun Xue, George Thoma, U.S. National Library of Medicine (USA) . . . . . . . .[10575-49]

3:50 pm: Deep-learning derived features for lung nodule classification with limited data sets, Phawis Thammasorn, Univ. of Arkansas (USA); Wei Wu, Larry Pierce, Sudhakar Pipavath, Univ. of Washington (USA); Paul Lampe, A. McGarry Houghton, Fred Hutchinson Cancer Research Ctr. (USA); David R. Haynor, Univ. of Washington (USA); W. Art Chaovalitwongse, Univ. of Arkansas (USA); Paul E. Kinahan, Univ. of Washington (USA) . . . . .[10575-50]

4:10 pm: Prognostic importance of pleural attachment status measured by pretreatment CT images in patientswith stage IA lung adenocarcinoma:measurement of the ratio of the interface between nodule and neighboring pleura to nodule surface area, Yoshiki Kawata, Noboru Niki, Tokushima Univ. (Japan); Masahiko Kusumoto, National Cancer Ctr. Hospital East (Japan); Hironobu Ohmatsu,Abashiri Prison (Japan); Keiju Aokage, Genichiro Ishii, Yuji Matsumoto, Takaaki Tsuchida, National Cancer Ctr. Hospital East (Japan); Kenji Eguchi, Teikyou Univ. School of Medicine (Japan); Masahiro Kaneko, Tokyo Health Service Association (Japan) . . . . . . . . . . . . . . . . . . . . .[10575-51]

4:30 pm: Differentiating invasive and pre-invasive lung cancer by quantitative analysis of histopathologic images, Chuan Zhou, Univ. of Michigan Health System (USA); Hongliu Sun, Cincinnati VA Medical Ctr. (USA); Heang-Ping Chan, Aamer Chughtai, Jun Wei, Lubomir M. Hadjiiski, Ella A. Kazerooni, Univ. of Michigan Health System (USA) . .[10575-52]

SESSION 8ROOM: SALON A . . . . WED 3:30 TO 5:10 PM

Segmentation and Modeling3:30 pm: Automated segmentation and radiomic characterization of visceral fat on bowel MRIs for Crohn’s disease, Iulia Barbur, Kaustav Bera, Rajat Thawani, Case Western Reserve Univ. (USA); Jean-Paul Achkar, Claudio Fiocchi, Marsha Kay, Rishi Gupta, Jacob Kurowski, The Cleveland Clinic (USA); Satish Viswanath, Case Western Reserve Univ. (USA) . . .[10576-32]

3:50 pm: A semiautomatic algorithm for three-dimensional segmentation of the prostate in CT images using shape and local texture characteristics, Maysam Shahedi, Emory Univ. School of Medicine (USA); Ling Ma, Rongrong Guo, Emory Univ. (USA); Guoyi Zhang, Emory Univ. School of Medicine (USA); David M. Schuster, Peter T. Nieh, Viraj V. Master, Baowei Fei, Emory Univ. (USA) . .[10576-33]

4:10 pm: Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images, Xingyu Wu, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Univ. of Pennsylvania (USA); Gargi Pednekar, Quantitative Radiology Solutions (USA); Charles B. Simone II, Univ. of Maryland School of Medicine (USA); David J. McLaughlin, Quantitative Radiology Solutions (USA); Chavanon Apinorasethkul, Geraldine Shammo, Joseph Camaratta, Drew A. Torigian, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-34]

4:30 pm: Optimal multimodal virtual bronchoscopy for convex-probe endobronchial ultrasound, William E. Higgins, Xiaonan Zang, The Pennsylvania State Univ. (USA); Ronnarit Cheirsilp, Broncus Medical, Inc. (USA); Patrick D. Byrnes, Trevor K. Kuhlengel, The Pennsylvania State Univ. (USA); Jennifer Toth, Rebecca Bascom, Penn State Milton S. Hershey Medical Ctr. (USA) . .[10576-35]

SESSION 4ROOM: SALON B . . . . WED 3:30 TO 5:30 PM

Imaging Informatics for Diagnostics and Theraputic

ApplicationsSession Chair: Brent J. Liu, The Univ.

of Southern California (USA)

3:30 pm: Detection of low wall motion and comparison study with scar tissue using 4D left ventricle cardiac images, Lee Chien-Yi, Yashbir Singh, Hu Wei-Chih, Chung Yuan Christian Univ. (Taiwan) . . . . . . . . . .[10579-17]

3:50 pm: Crowd-assisted polyp annotation of virtual colonoscopy videos, Ji Hwan Park, Saad Nadeem, Joseph Marino, Stony Brook Univ. (USA); Kevin Baker, Matthew Barish, Stony Brook Medicine (USA); Arie Kaufman, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . .[10579-18]

4:10 pm: Demyelinating and ischemia brain diseases detection through magnetic resonance images processing algorithm, Darwin P. Castillo Malla, Univ. Técnica Particular de Loja (Ecuador); René Samaniego, Hospital UTPL (Ecuador); Yuliana Jiménez, Luis Cuenca, Oscar Vivanco, Univ. Técnica Particular de Loja (Ecuador); María José Rodríguez-Álvarez, Univ. Politècnica de València (Spain) . . . . . . . . . . . . . . . .[10579-19]

4:30 pm: Tracking the development of brain connectivity in adolescence through a fast Bayesian integrative method, Aiying Zhang, Tulane Univ. (USA); Bochao Jia, Univ. of Florida (USA); Yu-Ping Wang, Tulane Univ. (USA) . . . . . .[10579-20]

4:50 pm: Quantitative diffusion weighted imaging parameters in tumor and peritumoral stroma for prediction of molecular subtypes in breast cancer, Ting He, Ming Fan, Peng Zhang, Hui Li, Hangzhou Dianzi Univ. (China); Juan Zhang, Guoliang Shao, Zhejiang Cancer Hospital (China); Lihua Li, Hangzhou Dianzi Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10579-21]

SESSION 4ROOM: MONTROSE . . . . . . . . . WED 3:30 PM

TO 5:30 PM

Ultrasound Tomography II3:30 pm: Experimental evaluation of straight ray and bent ray phase aberration correction for USCT SAFT imaging, Torsten Hopp, Michael Zapf, Hartmut Gemmeke, Nicole V. Ruiter, Karlsruher Institut für Technologie (Germany) . . . . . . . . . . . . . . . . . .[10580-17]

3:50 pm: Oil-gel-based phantom for mimicking wave refraction of breast in ultrasound computed tomography, Atsuro Suzuki, Yushi Tsubota, Wenjing Wu, Kazuhiro Yamanaka, Takahide Terada, Ken-ichi Kawabata, Hitachi, Ltd. (Japan) . . . . . . . . . . . . . . . . . . . . .[10580-18]

4:10 pm: Animal study of high-speed iterative refraction calibration method for ultrasound computed tomography, Yushi Tsubota, Ken-ichi Kawabata, Atsuro Suzuki, Takahide Terada, Wenjing Wu, Kazuhiro Yamanaka, Hitachi, Ltd. (Japan); Kazuaki Sasaki, Masayuki Kobayashi, Tokyo Univ. of Agriculture and Technology (Japan) . . . . . . . . . . . . . . . . . . . . .[10580-19]

4:30 pm: In vitro and in vivo evaluations of breast ultrasound tomography imaging system in HUST, Mingyue Ding, Huazhong Univ. of Science and Technology (China) . . . . . . . . . . . . . . . . . . . . .[10580-20]

4:50 pm: Toward parallel optimal computation of ultrasound computed tomography using GPU, Xia Sun, Shanshan Wang, Junjie Song, Liang Zhou, Yang Peng, Mingyue Ding, Ming Yuchi, Huazhong Univ. of Science and Technology (China) . . . . . . . . . . . . . . . . . . . . .[10580-21]

5:10 pm: USCT reference data base: conclusions from the first SPIE USCT data challenge and future directions, Nicole V. Ruiter, Michael Zapf, Torsten Hopp, Hartmut Gemmeke, Karlsruher Institut für Technologie (Germany); Koen W. A. van Dongen, Technische Univ. Delft (Netherlands); Jorge Camacho, Consejo Superior de Investigaciones Cientificas (Spain); Joaquín L. Herraiz, Mailyn Pérez-Liva, Jose M. Udías, Univ. Complutense de Madrid (Spain) . . . . . . . . . . . . . . .[10580-22]





Tues.–Fri. 13–16 Feb. 2018









SESSION 11 CONTINUEDROOM: HUNTERS CREEK . . . . WED 3:30 TO

5:30 PM

4:50 pm: Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans, Sindhu Ramachandran, Jose George, Shibon Skaria, Varun V.V., QuEST Global Services Pte. Ltd. (India) . . [10575-53]

5:10 pm: Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network, Mohammadreza Negahdar, IBM Research - Almaden (USA); David Beymer, Tanveer F. Syeda-Mahmood, IBM Research - Almaden (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-54]

SESSION 8 CONTINUEDROOM: SALON A . . . . WED 3:30 TO 5:10 PM

4:50 pm: Machine learning-based colon deformation estimation method for colonoscope tracking, Masahiro Oda, Nagoya Univ. (Japan); Takayuki Kitasaka, Aichi Institute of Technology (Japan); Kazuhiro Furukawa, Nagoya Univ. Hospital (Japan); Ryoji Miyahara, Nagoya Univ. Graduate School of Medicine (Japan); Yoshiki Hirooka, Nagoya Univ. Hospital (Japan); Hidemi Goto, Nagoya Univ. Graduate School of Medicine (Japan); Nassir Navab, Technische Univ. München (Germany); Kensaku Mori, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . . .[10576-36]

SESSION 4 CONTINUEDROOM: SALON B . . . . WED 3:30 TO 5:30 PM

5:10 pm: Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning, James M. Brown, Athinoula A. Martinos Ctr. for Biomedical Imaging (USA); J. Peter Campbell, Oregon Health & Science Univ. (USA); Andrew Beers, Ken Chang, Kyra Donohue, Athinoula A. Martinos Ctr. for Biomedical Imaging (USA); Susan Ostmo, Oregon Health & Science Univ. (USA); R.V. Paul Chan, Univ. of Illinois at Chicago (USA); Jennifer Dy, Deniz Erdogmus, Stratis Ioannidis, Northeastern Univ. (USA); Michael F. Chiang, Oregon Health & Science Univ. (USA); Jayashree Kalpathy-Cramer, Athinoula A. Martinos Ctr. For Biomedical Imaging (USA) . . . . . .[10579-22]

SESSION 4 CONTINUEDROOM: HUNTER’S CREEK . . . WED 3:30 PM

TO 5:30 PM

Awards AnnouncementsROOM: MONTROSE

5:30 PM TO 5:35 PM

The Ultrasonic Imaging and Tomography conference RFW runners up and poster award recipients will be recognized and


WORKSHOP/PANEL DISCUSSIONROOM: MONTROSE

WED 5:30 PM TO 7:30 PM

Ultrasound Computed Tomography Data Challenge Panel Discussion


CONFERENCE 10573Physics of Medical Imaging

POSTERS — WEDNESDAY


TUESDAY/WEDNESDAY POSTER SESSION Location: Salon E Poster presentations from the Phys-ics of Medical Imaging; Comput-er-Aided Diagnosis; Image-guided Procedures, Robotic Interventions, and Modeling; Imaging Informatics for Healthcare, Research, and Ap-plications; and Ultrasonic Imaging and Tomography conferences will be included.

Author Set-Up Time: Tuesday after 9:30 am

Posters should remain on display until the end of the Poster Session on Wednesday.



Poster award winners will be rec-ognized and certificates distributed in the conference meeting rooms. Check conference schedules for times and locations. Ribbons will identify winning posters during the Poster Sessions.


New Imaging SystemsEx-vivo mice mammary glands characterization using energy-dispersive x-ray diffraction and spatially resolved CdZnTe detectors, Vera Feldman, Joachim Tabary, Caroline Paulus, Univ. Grenoble Alpes (France) and CEA-LETI (France) and MINATEC (France); Jean-Louis Hazemann, Univ. Grenoble Alpes (France) and Institut NÉEL (France) and Ctr. National de la Recherche Scientifique (France); Odile Filhol, Isabelle Vilgrain, Univ. Grenoble Alpes (France) and INSERM (France) and Biosciences & Biotechnology Institute of Grenoble, Commissariat à l’Énergie Atomique (France); Loïck Verger, Univ. Grenoble Alpes (France) and MINATEC (France) . . . . . . . . . . . . . . . . . . . .[10573-82]

Compton scatter tomography with photon-counting detector: a preliminary study, Kai Wang, Haitao Cheng, Xi Chen, Xuanqin Mou, Xi’an Jiaotong Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10573-83]

Contrast-enhanced x-ray microscopy of bovine articular cartilage, Ying Zhu, Dragana Ponjevic, John R. Matyas, Steven K Boyd, Univ. of Calgary (Canada) . . . . . . . . . . . . . . . . . . .[10573-84]

Towards bimodal intravascular OCT MPI volumetric imaging, Sarah Latus, Technische Univ. Hamburg-Harburg (Germany) . . . . . . . . . . . . . . . . . .[10573-85]

A fully vacuum-sealed, miniature x-ray tube with carbon nanotube field emitters for compact portable dental x-ray systems, Sora Park, Jin-Woo Jeong, Jae-Woo Kim, Jun-Tae Kang, Ji-Hwan Yeon, Sunghee Kim, Electronics and Telecommunications Research Institute (Korea, Republic of); Hyojin Jeon, Eunsol Go, Jeong-Woong Lee, Yoon-Ho Song, Electronics and Telecommunications Research Institute (Korea, Republic of) and Univ. of Science and Technology (Korea, Republic of) . . . . . . . . . . . . . . . . .[10573-87]

Proton radiography for relativistic proton beam therapy, Matthew S. Freeman, Michelle Espy, Frank E. Merrill, Los Alamos National Lab. (USA) . . . . . . . . . . .[10573-88]

Transrectal ultrasound-waveform tomography using plane-wave reflection data for prostate cancer imaging, Lianjie Huang, Kai Gao, Yunsong Huang, Los Alamos National Lab. (USA) . . . .[10573-89]

Real time, in situ monitoring of electrotherapy process using electric pulse-induced acoustic tomography (EPAT), Ali Zarafshani, Nicklas Dang, Pratik Samant, Rowzat Faiz, Bin Zheng, Liangzhong Xiang, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-90]

Sensitivity of diffuse correlation spectroscopy to flow rates: a study with tissue simulating optical phantoms, Sara Zanfardino, Karthik Vishwanath, Miami Univ. (USA) . . . . . . . . . . . . . . . . .[10573-91]

Assessment of image quality parameters of a novel micro-CT system compared to a conventional CT scanner geometry, Nazila Saeidnezhad, Kunal Kumar, Bernhard H. Müller, Christoph Hoeschen, Otto-von-Guericke-Univ. Magdeburg (Germany) . . . . . . . . . . . . . . . . . .[10573-92]

Noise simulation of a SiPM for Cherenkov radiation-based vertex estimation in a Compton camera for nuclear medicine, Matthias Mielke, Reimund Bayerlein, Christian Gibas, Rainer Brück, Ivor Fleck, Univ. Siegen (Germany) . . . . . . . . [10573-93]

High-concentration gadolinium nanoparticles for pre-clinical vascular imaging, Charmainne Cruje, David W. Holdsworth, Robarts Research Institute (Canada); Elizabeth R. Gillies, Western Univ. (Canada); Maria Drangova, Robarts Research Institute (Canada) . . . .[10573-94]

Non-invasive electronic imaging of cardiovascular tissues using neural networks, Abhejit Rajagopal, Univ. of California, Santa Barbara (USA); Vincent Radzicki, Hua Lee, Shivkumar Chandrasekaran, Univ. of California, Santa Barbara (USA) . . . . . . . . . . . . . . .[10573-95]

Hyperspectral imaging: comparison of acousto-optic and liquid crystal tunable filters, Ramy M. Y. M. Abdlaty, Egyptian Armed Forces (Egypt) . . . . . . . . .[10573-96]

Low-cost optical technologies based on a single-board computer to increase the early detection of cervical cancer in low-resource areas, Sonia Parra, Rice Univ. (USA); Eduardo Carranza, Univ. of Houston (USA); Jonathan Jao, Pelham Keahey, Rice Univ. (USA); Kathleen Schmeler, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Mauricio Maza, Basic Health International (El Salvador); Philip Castle, Albert Einstein College of Medicine (USA); Rebecca Richards-Kortum, Rice Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-97]

Quantitative ImagingAn investigation into how the radiotherapy dose response of normal appearing brain tissue in glioma patients influences ADC measurements, Haris Shuaib, Lucy Brazil, Guy’s and St Thomas’ NHS Foundation Trust (UK); Thomas C. Booth, King’s College Hospital (UK) . . . . . . . . . . . . . . . . . . . . . . .[10573-98]

Estimation and validation of patient-specific liver elasticity derived within radiotherapy setup, Katelyn Hasse, Fei Han, John Neylon, Peng Hu, Yingli Yang, Anand Santhanam, Univ. of California, Los Angeles (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-99]

Quantitative image-based phosphorus-31 MR spectroscopy for evaluating age-based differences in skeletal muscle metabolites, Shenweng Deng, Devjit Tripathy, Juan A. Vasquez, Ralph DeFronzo, Geoffrey D. Clarke, The Univ. of Texas Health Science Ctr. at San Antonio (USA) . . . . . . . . . . . . . .[10573-100]

A rapid, robust multi-echo phase unwrapping method for quantitative susceptibility mapping (QSM) using strategically acquired gradient echo (STAGE) data acquisition, Yongsheng Chen, Northeastern Univ. (China) and MRI Institute for Biomedical Research (USA) and Wayne State Univ. (USA); Saifeng Liu, MRI Institute for Biomedical Research (USA); Yan Kang, Northeastern Univ. (China); E. Mark Haacke, Wayne State Univ. (USA) and MRI Institute for Biomedical Research (USA) and Northeastern Univ. (China) .[10573-101]

PhantomsAnatomical DCE-MRI phantoms generated from glioma patient data, Andrew Beers, Massachusetts General Hospital (USA); Ken Chang, James Brown, Athinoula A. Martinos Ctr. for Biomedical Imaging (USA); Xia Zhu, Dipanjan Sengupta, Theodore L. Willke, Intel Corp. (USA); Elizabeth Gerstner, Bruce Rosen, Athinoula A. Martinos Ctr. for Biomedical Imaging (USA); Jayashree Kalpathy-Cramer, Athinoula A. Martinos Ctr. for Biomedical Imaging (USA) and The Ctr. for Clinical Data Science, Massachusetts General Hospital (USA) and Brigham and Women’s Hospital (USA) . . . . . . . . . . . . . . . . . . . . .[10573-102]

Development of solid water phantom using wax, Tomoe Hagio, Qin Li, Bahaa Ghammraoui, Robert J. Jennings, Benjamin P. Berman, Nicholas A. Petrick, U.S. Food and Drug Administration (USA) .[10573-103]

Development of a novel respiratory phantom for motion correction studies in PET imaging, William Scott-Jackson, Univ. of Surrey (UK); Sarah McQuaid, The Royal Surrey County Hospital NHS Trust (UK); Kevin Wells, Emma Lewis, Univ. of Surrey (UK); James Scuffham, Royal Surrey County Hospital NHS Trust (UK) . . . . . .[10573-104]

Scatter profiles of the MIRD phantom with Geant4, Mehmet Oktay, Utah Ctr. for Advanced Imaging and Research (USA); Frédéric Noo, The Univ. of Utah (USA) . . . . . . . . . . . . . . . . . . . . .[10573-105]

Investigating the depth-sensitivity of laser speckle contrast imaging in flow phantoms, Anthony Young, Karthik Vishwanath, Miami Univ. (USA) .[10573-106]

Image ReconstructionThe advantages of unregularized statistical iterative reconstruction: an experimental phantom study, John Hayes, Univ. of Wisconsin (USA); Daniel Gomez-Cardona, John W. Garrett, Univ. of Wisconsin-Madison (USA); Ran Zhang, Univ. of Wisconsin School of Medicine and Public Health (USA); Guang-Hong Chen, Univ. of Wisconsin-Madison (USA) . . . . . [10573-107]

Motion compensated reconstruction of the aortic valve for computed tomography, Tanja Elss, Rolf Bippus, Holger Schmitt, Philips Research (Germany); Thomas Ivanc, Philips Healthcare (USA); Michael M. Morlock, Technische Univ. Hamburg-Harburg (USA); Michael Grass, Philips Research (Germany) . . . . . . . . . . . . . . . . .[10573-108]

Real-time image reconstruction for low-dose CT using deep convolutional generative adversarial networks (GANs), Kihwan Choi, Korea Institute of Science and Technology (Korea, Republic of); Sung Won Kim, Joon Seok Lim, Yonsei Univ. College of Medicine (Korea, Republic of) [10573-109]

Motion-compensated reconstruction for limited-angle multiphase cardiac CT, Mingwu Jin, Cong Zhao, The Univ. of Texas at Arlington (USA); Xun Jia, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA); Lifeng Yu, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . .[10573-110]

Low dose CT reconstruction with MRF prior predicted from patch samples of normal-dose CT database, Junyan Rong, Fourth Military Medical Univ. (China); Yuanke Zhang, Fourth Military Medical Univ. (China) and Qufu Normal Univ. (China); Yuxiang Xing, Tsinghua Univ. (China); Peng Gao, Tianshuai Liu, Fourth Military Medical Univ. (China); Zhengrong Liang, Stony Brook Univ. (USA); Hongbing Lu, Fourth Military Medical Univ. (China) . . . . . . . . . . . . . . . . . . . .[10573-111]

Deep learning-enabled iterative reconstruction of ultra-low-dose CT: Use of synthetic sinogram-based noise simulation technique, Chul Kyun Ahn, Zepa Yang, Changyong Heo, Hyeongmin Jin, Byungjun Park, Jong Hyo Kim, Seoul National Univ. (Korea, Republic of) . . . . . . [10573-112]

Cone-beam x-ray luminescence computed tomography reconstruction from single-view based on total variance, Tianshuai Liu, Junyan Rong, Peng Gao, Fourth Military Medical Univ. (China); Zhengrong Liang, Stony Brook Univ. (USA); Wenli Zhang, Yuanke Zhang, Fourth Military Medical Univ. (China); Hongbing Lu, Fourth Military Medical Univ. (China) . .[10573-113]

CPCT-LRTDTV: cerebral perfusion CT image restoration via a low rank tensor decomposition with total variation regularization, Jiangjun Peng, Xi’an Jiaotong Univ. (China); Dong Zeng, Jianhua Ma, Southern Medical Univ. (China); Yao Wang, Deyu Meng, Xi’an Jiaotong Univ. (China) . . . . . . . . . . . . . . . . . . . .[10573-114]


POSTERS — WEDNESDAYModel based image reconstruction with a hybrid regularizer, Jingyan Xu, Johns Hopkins Outpatient Ctr. (USA); Frédéric Noo, The Univ. of Utah (USA) . .[10573-115]

Reconstruction of micro CT-like images from clinical CT based on machine learning: a preliminary study, Kyohei Takeda, Yutaro Iwamoto, Ritsumeikan Univ. (Japan); Keisuk Uemura, Masaki Takao, Osaka Univ. (Japan); Yoshinobu Sato, Nara Institute of Science and Technology (Japan); Nobuhiko Sugano, Osaka Univ. (Japan); Yen-Wei Chen, Ritsumeikan Univ. (Japan) . . . . . . . . . . . . . . . . . . . .[10573-116]

Information theory optimization of acquisition parameters for improved synthetic MRI reconstruction, Drew Mitchell, David T. Fuentes, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Tao Zhang, GE Healthcare (USA); Ken-Pin Hwang, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . . . . . . . . .[10573-117]

A novel reconstruction algorithm for arm-artifact reduction in computed tomography, Hiroki Kawashima, Katsuhiro Ichikawa, Kanazawa Univ. (Japan); Tadanori Takata, Kanazawa Univ. Hospital (Japan); Kousuke Matsubara, Kanazawa Univ. (Japan) . . . . . . . . . . . . . . . . . . . .[10573-118]

A feasibility study of extracting tissue textures from a previous normal-dose CT database as prior for Bayesian reconstruction of current ultralow-dose CT images, Yongfeng Gao, Peking Univ. (China); Zhengrong Jerome Liang, Stony Brook Univ. (USA); Yuxiang Xing, Tsinghua Univ. (China); William H. Moore, Stony Brook Univ. (USA) . . . . . . . . . . .[10573-119]

Low dose computed tomography image reconstruction via structure tensor total variation regularization, Junfeng Wu, Xi’an Univ. of Technology (China); Xuanqin Mou, Yongyi Shi, Xi’an Jiaotong Univ. (China); Ti Bai, Xi’an Jiaotong Univ. (China); Yang Chen, Southeast Univ. (China) .[10573-120]

Motion-compensated reconstruction based on filtered backprojection for helical head CT, Seokhwan Jang, Seungeon Kim, Yongjin Chang, Jong Beon Ra, KAIST (Korea, Republic of) .[10573-121]

High-resolution CT image retrieval using sparse convolutional neural network, Yang Lei, Kristin Higgins, Emory Univ. (USA); Zhengyang Zhou, Nanjing Univ. (China); Xue Dong, Tian Liu, Hyunsuk Shim, Walter Curran, Xiaofeng Yang, Emory Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-122]

Application of total-variation minimization to half-fan dental computed tomography, Jonghee Yun, Seungwoo Ha, Dong Woon Kim, Pusan National Univ. (Korea, Republic of); Hanbean Youn, Pusan National Univ. Yangsan Hospital (Korea, Republic of) and Pusan National Univ. (Korea, Republic of); Ho Kyung Kim, Pusan National Univ. (Korea, Republic of) . . . . . . . . . . . . . . . .[10573-123]

LdCT-Net: low-dose CT image reconstruction strategy driven by a deep dual network, Ji He, Yongbo Wang, Southern Medical Univ. (China); Yan Yang, Xi’an Jiaotong Univ. (China); Zhaoying Bian, Dong Zeng, Southern Medical Univ. (China); Jian Sun, Zongben Xu, Xi’an Jiaotong Univ. (China); Jianhua Ma, Southern Medical Univ. (China) . . . . . . . . . . . . . . .[10573-124]

AlgorithmsMotion compensation for non-gated helical CT: application to lung imaging, Michael Grass, Rolf Bippus, Axel Thran, Dirk Schäfer, Sven Kabus, Philips Research (Germany); Kevin M. Brown, Philips Healthcare (USA) . . . . . . . . . . . .[10573-125]

Use of CMOS-based micro-CBCT system to validate novel ring artifact correction algorithm, Alexander R. Podgorsak, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Swetadri Vasan Setlur Nagesh, Daniel R. Bednarek, Toshiba Stroke and Vascular Research Ctr. (USA); Stephen Rudin, Ciprian N. Ionita, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-126]

Windmill artifact reduction based on the combined reconstructed image, Yongyi Shi, Xi’an Jiaotong Univ. (China); Yanbo Zhang, Univ. of Massachusetts Lowell (USA); Xuanqin Mou, Xi’an Jiaotong Univ. (China) . . . . . . . . . . . . . . . . . . . .[10573-127]

Scatter correction for multi-slice CT system, Yang Wang, Siemens Shanghai Medical Equipment Ltd. (China); Karl Stierstorfer, Martin Petersilka, Michael Grasruck, Siemens Healthineers (Germany); Yi Tian, Siemens Shanghai Medical Equipment Ltd. (China) . . . . . . .[10573-128]

Optimal cardiac phase in prospectively gated axial cardiac CT scans, Alexander Zamyatin, Basak Ulker Karbeyaz, Charles Shaughnessy, David Rozas, Analogic Corp. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-129]

A denoising auto-encoder based on projection domain for low dose CT, Xuanqin Mou, Jiayu Duan, Xi’an Jiaotong Univ. (China) . . . . . . . . . . . . . . .[10573-130]

Phantom-based field maps for gradient nonlinearity correction in diffusion imaging, Baxter Rogers, Vanderbilt Univ. Medical Ctr. (USA); Justin Blaber, Vanderbilt Univ. (USA); Allen T. Newton, E. B. Welch, Adam W. Anderson, Vanderbilt Univ. Medical Ctr. (USA); Jeffrey J. Luci, The Univ. of Texas at Austin (USA); Carlo Pierpaoli, National Institute of Biomedical Imaging and Bioengineering (USA) and National Institutes of Health (USA); Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-131]

Deep residual learning enabled metal artifact reduction in CT, Shiyu Xu, Hao Dang, Philips Healthcare (USA) . . . . . . . . . . . . . . . . . . . . .[10573-132]

A deeper convolutional neural network for denoising low-dose CT images, Byeongjoon Kim, Hyunjung Shim, Jongduk Baek, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . .[10573-133]

Quantitative evaluation of total variation (TV) noise reduction algorithm with chest x-ray imaging: an experimental study, Hyeng Ju Kwak, So Jung Lee, Seong-Hyeon Kang, Eulji Univ. (Korea, Republic of); Seungwan Lee, Konyang Univ. (Korea, Republic of); Youngjin Lee, Eulji Univ. (Korea, Republic of) . . . . . . . . . .[10573-134]

Automated algorithms for improved pre-processing of magnetic relaxometry data, Wolfgang Stefan, Kelsey B. Mathieu, Caterina C. Kaffes, Sara L. Thrower, David T. Fuentes, Javad Sovizi, John D. Hazle, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA). . . . . . . . . . . . . . . . . .[10573-135]

Preliminary evaluation of patch group prior based denoising (PGPD) technique for speckle with ultrasound imaging system, Seung Hun Kim, Kanghyen Seo, Seong-Hyeon Kang, Youngjin Lee, Eulji Univ. (Korea, Republic of) . . . . .[10573-136]

Algorithm enabled TOF-PET imaging with reduced scan time, Zheng Zhang, Sean Rose, The Univ. of Chicago Medical Ctr. (USA); Jinghan Ye, Amy E. Perkins, Philips Healthcare (USA); Buxin Chen, Emil Y. Sidky, Chien-Min Kao, The Univ. of Chicago Medical Ctr. (USA); Chi-Hua Tung, Philips Healthcare (USA); Xiaochuan Pan, The Univ. of Chicago Medical Ctr. (USA) .[10573-137]

CT Image Quality and DoseDevelopment of a fast, voxel-based, and scanner-specific CT simulator for image quality based virtual clinical trials, Ehsan Abadi, Brian Harrawood, Anuj J. Kapadia, Wiliam P. Segars, Ehsan Samei, Carl E. Ravin Advanced Imaging Labs. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-138]

A rapid GPU-based Monte-Carlo simulation tool for individualized dose estimations in CT, Shobhit Sharma, Duke Univ. (USA); Anuj J. Kapadia, Carl E. Ravin Advanced Imaging Labs. (USA) and Duke Univ. (USA); Wanyi Fu, Jeff Fenoli, Duke Univ. (USA); William P. Segars, Ehsan Samei, Carl E. Ravin Advanced Imaging Labs. (USA) and Duke Univ. (USA) . . . . . . . . . [10573-139]

Texture: how measurable is it?, Marthony Robins, Justin B. Solomon, Ehsan Samei, Duke Univ. Medical Ctr. (USA) .[10573-140]

Focal spot rotation for improving CT resolution homogeneity, Scott S. Hsieh, Univ. of California, Los Angeles (USA) . . . . . . . . . . . . . . . . . . . . .[10573-141]

Technical considerations for automated low-pitch spiral 4D CT scanning protocol selection, René Werner, Thilo Sothmann, Frederic Madesta, Tobias Gauer, Universitätsklinikum Hamburg-Eppendorf (Germany); Christian Hofmann, Siemens Healthineers (Germany) . . . . . . .[10573-142]

Variability of stenosis characterization: impact of coronary vessel motion in cardiac CT, Taylor W. Richards, William P. Segars, Ehsan Samei, Carl E. Ravin Advanced Imaging Labs. (USA) [10573-143]

Diagnostic value of sparse sampling computed tomography for radiation dose reduction: initial results, Felix K. Kopp, Klinikum rechts der Isar der Technischen Univ. München (Germany); Rolf Bippus, Philips Research (Germany); Andreas Sauter, Klinikum rechts der Isar der Technischen Univ. München (Germany); Daniela Münzel, Klinikum rechts der Isar der Technischen Univ. München (Germany) and Technische Univ. München (Germany); Frank Bergner, Philips Research (Germany); Kai Mei, Julia Dangelmaier, Benedikt J. Schwaiger, Klinikum rechts der Isar der Technischen Univ. München (Germany); Marco Catalano, Univ. degli Studi di Napoli Federico II (Italy); Alexander A. Fingerle, Ernst J. Rummeny, Klinikum rechts der Isar der Technischen Univ. München (Germany); Peter B. Noël, Klinikum rechts der Isar der Technischen Univ. München (Germany) and Technische Univ. München (Germany) . . . . . [10573-144]

The effect of tube current modulation on the noise power spectra of patients with different size: consequences for quality monitoring, Alexandro Fulco, Hilde Bosmans, Nicholas Marshall, Lesley Cockmartin, UZ Leuven (Belgium) . . . . . . . . . . . . . . . . . .[10573-145]

Linear analysis of sandwich detector-based computed tomography, Seungwoo Ha, Dong Woon Kim, Junwoo Kim, Pusan National Univ. (Korea, Republic of); Seung Ho Kim, Korea Aerospace Industries Ltd. (Korea, Republic of); Hanbean Youn, Pusan National Univ. Yangsan Hospital (Korea, Republic of); Ho Kyung Kim, Pusan National Univ. (Korea, Republic of) . . . . .[10573-146]

Evaluation of SparseCT on patient data using realistic undersampling models, Baiyu Chen, Matthew Muckley, NYU School of Medicine (USA); Aaron Sodickson, Harvard Medical School (USA); Thomas O’Donnell, Siemens Healthineers (USA); Florian Knoll, Daniel Sodickson, Ricardo Otazo, NYU School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . .[10573-147]

Can a 3D task transfer function accurately represent the signal transfer properties of low-contrast lesions in non-linear CT systems?, Marthony Robins, Justin B. Solomon, Ehsan Samei, Duke Univ. Medical Ctr. (USA) . . . . . .[10573-148]

Ray-tracing-based dose estimation in dental CBCT, Bitbyeol Kim, Jinwoo Kim, Jonghee Yun, Pusan National Univ. (Korea, Republic of); Hanbean Youn, Pusan National Univ. Yangsan Hospital (Korea, Republic of); Ho Kyung Kim, Pusan National Univ. (Korea, Republic of) . . . . .[10573-149]

Accurate centroid determination for evaluating the modulation transfer function with a circular edge in CT images, Guozhi Zhang, Andreas Stratis, Nicholas Marshall, Hilde Bosmans, UZ Leuven (Belgium) . . . . . . . . . . . .[10573-150]

Sampling and its effect on spatial resolution in computed tomography, Martin Sjölin, KTH Royal Institute of Technology (Sweden) . . . . . . . .[10573-151]

Cone-Beam CTCurved-panel detectors for dental cone-beam computed tomography, Soohwa Kam, Jonghee Yun, Jinwoo Kim, Dong Woon Kim, Pusan National Univ. (Korea, Republic of); Hanbean Youn, Pusan National Univ. Yangsan Hospital (Korea, Republic of) and Ctr. for Advanced Medical Engineering, Pusan National Univ. (Korea, Republic of); Ho Seok Lee, Cheol-Soon Shon, Sung Kyn Heo, Vatech-Ewoo Research Innovation Ctr., Vatech Networks (Korea, Republic of); Ho Kyung Kim, Ctr. for Advanced Medical Engineering, Pusan National Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . [10573-152]


POSTERS — WEDNESDAYImproving image quality of cone-beam CT using auto-context alternating regression forest, Yang Lei, Xiangyang Tang, Kristin Higgins, Tian Liu, Xue Dong, Anees Dhabaan, Hyunsuk Shim, Walter Curran, Xiaofeng Yang, Emory Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-153]

spatial resolution and noise prediction in flat-panel cone-beam CT penalized-likelihood reconstruction, Wenying Wang, Grace J. Gang, Jeffrey H. Siewerdsen, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-154]

Development and preliminary results of a prototype mobile C-arm CT system with high-resolution x-ray flat panel detector, Bo Kyung Cha, Korea Electrotechnology Research Institute (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . .[10573-155]

Simulating low-dose cone-beam CT: a phantom study, Andrea Ferrero, Kenneth A. Fetterly, Lifeng Yu, Beth A. Schueler, Mayo Clinic (USA) . . . . . . . . . . .[10573-156]

Motion artifacts reduction in 4DCBCT based on motion-compensated RPCA, Shaohua Zhi, Xuanqin Mou, Xi’an Jiaotong Univ. (China) . . . . . . . . . . . . . . .[10573-157]

Influence of data completion on scatter artifact correction for truncated cone-beam CT data, Nadine Waltrich, Stefan Sawall, Joscha Maier, Jan Kuntz, Deutsches Krebsforschungszentrum (Germany); Kai Stannigel, Kai Lindenberg, Sirona Dental Systems GmbH (Germany); Marc Kachelriess, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . .[10573-158]

Optimization-based design for artifact reduction in advanced diagnostic CBCT, Dan Xia, The Univ. of Chicago (USA); Yan Liu, Zhou Yu, Toshiba Medical Research Institute USA, Inc. (USA); Buxin Chen, The Univ. of Chicago Medical Ctr. (USA); Richard Thompson, The Univ. of Chicago (USA); Emil Y. Sidky, Xiaochuan Pan, The Univ. of Chicago Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-159]

Gantry rotational motion-induced blur in cone-beam computed tomography, Jordan M. Krebs, Toshiba Stroke and Vascular Research Ctr. (USA); Alok Shankar, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . .[10573-160]

Intensity-modulated dental CBCT: a contrast and absorbed dose study, Jinwoo Kim, Jonghee Yun, Seungwoo Ha, Pusan National Univ. (Korea, Republic of); Hanbean Youn, Pusan National Univ. Yangsan Hospital (Korea, Republic of); Ho Kyung Kim, Pusan National Univ. (Korea, Republic of) . . . . . . . . . . . . . . . .[10573-161]

Investigation of organ dose variation with adult head size and pediatric age for neuro-interventional projections, Zhenyu Xiong, Sarath Vijayan, Chao Guo, Alok Shankar, Stephen Rudin, Daniel R. Bednarek, Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . .[10573-162]

Image quality, scatter, and dose in compact CBCT systems with flat and curved detectors, Alejandro Sisniega, Wojciech Zbijewski, Pengwei Wu, Joseph W. Stayman, Vassilis E. Koliatsos, Nafi Aygun, Robert E. Stevens, Johns Hopkins Univ. (USA); Xiaohui Wang, David H. Foos, Carestream Health, Inc. (USA); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-163]

Phase Contrast ImagingHairline fracture detection using Talbot-Lau x-ray imaging, Christian Hauke, Siemens Healthineers (Germany); Gisela Anton, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Sigrid Auweter, Klinikum der Univ. München (Germany); Peter Bartl, Jörg Freudenberger, Siemens Healthineers (Germany); Katharina Hellbach, Klinikum der Univ. München (Germany); Martino Leghissa, Siemens Healthineers (Germany); Felix G. Meinel, Klinikum der Univ. München (Germany); Thomas Mertelmeier, Ralf Nanke, Marcus Radicke, Siemens Healthineers (Germany); Maximilian Reiser, Klinikum der Univ. München (Germany); Ludwig Ritschl, Siemens Healthineers (Germany); Sabine Sellner, Klinikum der Univ. München (Germany); Sven-Martin Sutter, Thomas Weber, Josef Zeidler, Siemens Healthineers (Germany); Tobias Geith, Klinikum der Univ. München (Germany) . . . . . . . . .[10573-164]

Application of a test object free method for determination of the modulation transfer function in grating-based phase-contrast imaging, Janne Vignero, KU Leuven (Belgium); Nicholas Marshall, Hilde Bosmans, UZ Leuven (Belgium) and KU Leuven (Belgium) . . . . . . . . . . . .[10573-165]

Minimizing the scatter contribution and spatial spread due to the absorption grating G2 in grating-based phase-contrast imaging, Janne Vignero, KU Leuven (Belgium); Hilde Bosmans, KU Leuven (Belgium) and UZ Leuven (Belgium); Nicholas Marshall, UZ Leuven (Belgium); Sunay Rodríguez Pérez, KU Leuven (Belgium) and SCK CEN (Belgium) . . . . . . . . . . . .[10573-166]

3D imaging of theranostic nanoparticles in mice organs by means of x-ray phase contrast tomography, Elena Longo, Lab. d’Optique Appliquée (France); Alberto Bravin, ESRF - The European Synchrotron (France); Francesco Brun, Inna Bukreeva, Alessia Cedola, CNR-Istituto di Fotonica e Nanotecnologie (Italy); Ombeline de La Rochefoucauld, Imagine Optic SA (France); Michela Fratini, CNR-Istituto di Fotonica e Nanotecnologie (Italy); Xavier Le Guevel, Institute for Advanced Biosciences, Univ. Grenoble Alpes (France); Lorenzo Massimi, CNR-Istituto di Fotonica e Nanotecnologie (Italy); Lucie Sancey, Institute for Advanced Biosciences, Univ. Grenoble Alpes (France); Philippe Zeitoun, Lab. d’Optique Appliquée (France) . . . . . . . . . . . . . . . . . . .[10573-167]

Multi-Energy X-Ray and CTA multi-energy material decomposition method for spectral CT using neural network, Chuqing Feng, Kejun Kang, Yuxiang Xing, Tsinghua Univ. (China) . . . . . . . . . . . . . . . . . . . .[10573-168]

A sensitivity analysis on parameters that affect a multi-step material decomposition for spectral CT, Nathaniel R. Fredette, Amareswararo Kavuri, Mini Das, Univ. of Houston (USA) . . .[10573-169]

Intrinsic limitations on quantification accuracy of dual energy CT at low dose levels, Juan Pablo Cruz Bastida, Ran Zhang, Ke Li, Guang-Hong Chen, Univ. of Wisconsin-Madison (USA) . . . . .[10573-170]

Multiscale dual energy micro-CT for imaging using iodinated and gold nanoparticles, Matthew Holbrook, Darin P. Clark, Duke Univ. Medical Ctr. (USA); Cristian T. Badea, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-171]

Pseudo dual energy CT Imaging using deep learning based framework: basic material estimation, Yuting Liao, Yongbo Wang, Sui Li, Ji He, Dong Zeng, Zhaoying Bian, Jianhua Ma, Southern Medical Univ. (China) . . . . . . . . . . . . . . . . . . . .[10573-172]

Spectral CT analysis using information theory and statistical distance, Matthew A. Lewis, Jeff Cherian, Yin Xi, Robert E. Lenkinski, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA) . . .[10573-173]

Investigation of filter material for high-contrast single-shot dual-energy imaging, Junwoo Kim, Dong Woon Kim, Jinwoo Kim, Pusan National Univ. (Korea, Republic of); Sung Kyn Heo, Rayence Co., Ltd. (Korea, Republic of); Ho Kyung Kim, Pusan National Univ. (Korea, Republic of) . . . . . . . . . . . . . . . .[10573-174]

Algorithmic scatter correction based on physical model and statistical iterative reconstruction for dual energy cone beam CT, Shaojie Chang, Ti Bai, Xi Chen, Xuanqin Mou, Xi’an Jiaotong Univ. (China) . . . . . . . . . . . . . . . . . . . .[10573-175]

Determination of the limit of detection for iodinated contrast agents with multi-energy computed tomography, Megan Jacobsen, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Xinhui Duan, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA); Dianna D. Cody, Erik Cressman, Dawid Schellingerhout, Rick R. Layman, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . . . . . . . . .[10573-176]

Feasibility of material decomposition using non-radioactive Xe for pulmonary function test in spectral x-ray system: a Monte Carlo simulation study, Jisoo Eom, Sooncheol Kang, Burnyoung Kim, Seungwan Lee, Konyang Univ. (Korea, Republic of) . . . . . . . . . . . . . . . .[10573-177]

Photon-Counting ImagingEffect of electronic noise and lowest energy threshold selection in photon counting detectors, Paurakh L. Rajbhandary, Norbert J. Pelc, Stanford Univ. (USA) . . . . . . . . . . . . . . . .[10573-178]

Impact of radiation dose level on CT number accuracy in photon counting CT, Ran Zhang, Juan Pablo Cruz Bastida, Daniel Gomez-Cardona, Ke Li, Guang-Hong Chen, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . . . . . . . .[10573-179]

Determination of image type for optimal iodine detection on a photon counting detector based multi-energy CT system, Wei Zhou, Rachel Schornak, Dilbar Abdurakhimova, Andrea Ferrero, Jayse Weaver, Cynthia H. McCollough, Shuai Leng, Mayo Clinic (USA) . . . . . .[10573-180]

Cascaded systems analysis of k-fluorescence in single-photon-counting x-ray imaging detectors, Dakota McKeown, The Univ. of British Columbia Okanagan (Canada); Jann Stavro, Stony Brook Univ. (USA); Ian Cunningham, Robarts Research Institute (Canada); Wei Zhao, Stony Brook Univ. (USA); Jesse Tanguay, The Univ. of British Columbia Okanagan (Canada) . . . . . . . . . .[10573-181]

Increasing the dose efficiency in silicon photon-counting detectors utilizing dual shapers, Christel Sundberg, Martin Sjölin, KTH Royal Institute of Technology (Sweden); Jacob Wikner, Christer Svensson, Linköping Univ. (Sweden); Mats Danielsson, KTH Royal Institute of Technology (Sweden) . . . . . . . .[10573-182]

Spatio-energetic cross-talk in photon counting detectors: N?N binning and sub-pixel masking, Katsuyuki Taguchi, The Johns Hopkins Univ. School of Medicine (USA); Karl Stierstorfer, Siemens Healthineers (Germany); Christoph Polster, Siemens Healthineers (Germany) and Klinikum der Univ. München (Germany); Okkyun Lee, The Johns Hopkins Univ. School of Medicine (USA); Steffen Kappler, Siemens Healthineers (Germany) . . . . . . . . . . . . . . . . . . . .[10573-183]

Evaluation of a new photon-counting imaging detector (PCD) with various acquisition modes, Alok Shankar, Jordan M. Krebs, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . .[10573-184]

Feasibility study of contrast enhanced digital mammography based on photon-counting detector by projection-based weighting technique: a simulation study, Hee-Joung Kim, Minjae Lee, Donghoon Lee, Byungdu Jo, Hyemi Kim, Dohyeon Kim, Seungyeon Choi, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . .[10573-185]

Spectrally varying signal and noise properties of a small pixel photon counting detector, Stefano Vespucci, Mini Das, Univ. of Houston (USA) . . .[10573-186]

Multi-energy spectral photon-counting CT in crystal-related arthropathies: initial experience and diagnostic performance in vitro, Anais Viry, Ctr. Hospitalier Univ. Vaudois (Switzerland); Aamir Y. Raja, Univ. of Otago, Christchurch (New Zealand); Tracy E. Kirkbride, Ara Institute of Canterbury (New Zealand); Chloe Choi, The Univ. of Auckland (New Zealand); Lisa K. Stamp, Univ. of Otago, Christchurch (New Zealand); Christele Combes, Ctr. Inter-Univ. de Recherche et d’Ingénierie des Matériaux (France) and Ecole Nationale Supérieure des Ingénieurs en Arts Chimique et Technologiques (France) and Ctr. National de la Recherche Scientifique (France); Francis R. Verdun, Institut Univ. de Radiophysique Appliquée (Switzerland) and Ctr. Hospitalier Univ. Vaudois (Switzerland); Nigel G. Anderson, Univ. of Otago, Christchurch (New Zealand); Fabio Becce, Ctr. Hospitalier Univ. Vaudois (Switzerland) . . . . . . . . . . . . . . .[10573-187]

Spectroscopy with a CdTe-based photon-counting imaging detector (PCD) having charge sharing correction capability, Alok Shankar, Jordan M. Krebs, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-188]


POSTERS — WEDNESDAYAn algorithm for spectral CT with explicit detector model: a one-step approach, Pierre-Antoine Rodesch, Véronique Rebuffel, Clarisse Fournier, CEA Grenoble (France); Florence Forbes, INRIA Rhône-Alpes (France) . . . . . . . . . . . . . .[10573-189]

Development of virtual monochromatic imaging technique with spectral CT based on a photon-counting detector, Seungwan Lee, Sooncheol Kang, Jisoo Eom, Burnyoung Kim, Konyang Univ. (Korea, Republic of); Duhgoon Lee, Chang-Lae Lee, Jinwook Jung, Wooyoung Jang, Yuna Choi, SAMSUNG Electronics Co., Ltd. (Korea, Republic of) . . . . . . . . . .[10573-190]

Simulation study of scatter correction in photon counting CT, Shinichi Kojima, Kazuma Yokoi, Isao Takahashi, Hitachi, Ltd. (Japan) . . . . . . . . . . . . . . . . . . . .[10573-191]

Breast ImagingCharacterization of adipose compartments in mastectomy CT images, Abdullah-Al-Zubaer Imran, North South Univ. (Bangladesh); Predrag R. Bakic, The Univ. of Pennsylvania Health System (USA); David D. Pokrajac, Delaware State Univ. (USA) . . . . . . . . . . . . . . . .[10573-192]

Binary implementation of fractal Perlin noise to simulate fibroglandular breast tissue, Magnus Dustler, Hannie Petersson, Kristina Lång, Lund Univ. (Sweden) . . . . . . . . . . . . . . . . . .[10573-193]

OpenVCT: a GPU-accelerated virtual vlinical trial pipeline for mammography and digital breast tomosynthesis, Bruno Barufaldi, David Higginbotham, Predrag R. Bakic, Andrew D. A. Maidment, Univ. of Pennsylvania (USA) . . . . . . . . . .[10573-194]

Analysis of volume overestimation artifacts in the breast outline segmentation in tomosynthesis, Raymond J. Acciavatti, Predrag R. Bakic, The Univ. of Pennsylvania Health System (USA); Ingrid Reiser, The Univ. of Chicago (USA); Ioannis Sechopoulos, Radboud Univ. Medical Ctr. (Netherlands); Andrew D. A. Maidment, The Univ. of Pennsylvania Health System (USA) . . . . . . . . . . . . . .[10573-195]

Simulation of breast compression using a new biomechanical model, Anna Mira, GE Healthcare France (France); Yohan Payan, Ctr. National de la Recherche Scientifique (France) and Univ. Grenoble Alpes (France); Ann-Katherine Carton, Pablo Milioni de Carvalho, Zhijin Li, Serge L. Muller, GE Healthcare France (France) . . . . . . . . . . . . . . . . . . .[10573-196]

Multi-layer dual-energy detectors with fiber-optic faceplate, Dong Woon Kim, Junwoo Kim, Jiwoong Park, Pusan National Univ. (Korea, Republic of); Sung Kyn Heo, Vatech Networks (Korea, Republic of); Ho Kyung Kim, Pusan National Univ. (Korea, Republic of) . . . . . . . . . . . . . . . .[10573-197]

Improvement of image quality and density accuracy of breast peripheral area in mammography, Hyemi Kim, Byungdu Jo, Dohyeon Kim, Haeng-hwa Lee, Hee-Joung Kim, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . .[10573-198]

Validation of a clinical contrast-to-noise-ratio for digital mammographic imaging, Melissa L. Hill, Mammographic Physics Consultant (France); Nabeel Khan, Kaier Wang, Volpara Solutions Ltd. (New Zealand); Alistair Mackenzie, The Royal Surrey County Hospital NHS Trust (UK); Ralph P. Highnam, Volpara Solutions Ltd. (New Zealand) . . . . . . . . . . . . . .[10573-199]

Validation and application of a new image reconstruction software toolbox (TIGRE) for breast cone-beam computed tomography, Shada Kazemi, Univ. of Surrey (UK) . . . . . . . . . . . . . . . .[10573-200]

Breast density assessment: image feature extraction and density classification with machine intelligence, Biao Chen, Chris Ruth, Zhenxue Jing, Hologic, Inc. (USA) . . . . . . . . . .[10573-201]

Methodology for the objective assessment of lesion detection performance with breast tomosynthesis and digital mammography using a physical anthropomorphic phantom, Lynda C. Ikejimba, U.S. Food and Drug Administration (USA); Telon Yan, Montgomery Blair High School (USA); Katherine Kemp, Academy of the Holy Cross (USA); Jesse Salad, Christian Graff, Bahaa Ghammraoui, U.S. Food and Drug Administration (USA); Joseph Y. Lo, Duke Univ. (USA); Stephen J. Glick, U.S. Food and Drug Administration (USA) .[10573-202]

Laboratory design and evaluations of a dual-purpose breast tissue phantom with adjustable glandularity, Di Wu, The Univ. of Oklahoma (USA); Yong Chen, The Univ. of Oklahoma Health Sciences Ctr. (USA); Farid Omoumi, Yuran Guo, Yuhua Li, Bin Zheng, Hong Liu, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . .[10573-203]

Comparison of three breast imaging techniques using 4-AFC human observation study, Shada Kazemi, Univ. of Surrey (UK) . . . . . . . . . . . . . . . .[10573-204]

Breast imaging using micro-resolution field emission x-ray system with carbon nanotube emitter, Jaeik Jeong, Kyung Hee Univ. (Korea, Republic of) and CAT Beam Tech Co., Ltd. (Korea, Republic of); Seung Jun Yeo, Kyung Hee Univ. (Korea, Republic of) and CAT Beam Tech Co., Ltd. (Korea, Republic of); Jungsun Ahn, Hunkuk Park, Kyung Hee Univ. (Korea, Republic of); Sang Hyun Paik, CAT Beam Tech Co., Ltd. (Korea, Republic of); Seung Hoon Kim, Asan Medical Ctr., Univ. of Ulsan (Korea, Republic of) and CAT Beam Tech Co., Ltd. (Korea, Republic of); Nam Guk Kim, Beos-seok Ko, Asan Medical Ctr., Univ. of Ulsan (Korea, Republic of); Jehwang Ryu, Kyung Hee Univ. (Korea, Republic of) .[10573-205]

A proposed new image display method with high a contrast-to-noise ratio using energy-resolved photon-counting mammography with a CdTe-series detector, Reina Suzuki, Ai Nakajima, Mariko Sasaki, Akiko Ihori, Yoshie Kodera, Nagoya Univ. (Japan); Tsutomu Yamakawa, Shuichiro Yamamoto, Masahiro Okada, Daisuke Hashimoto, JOB Corp. (Japan); Shuji Koyama, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . .[10573-206]

Bilateral asymmetric electrochemical characteristics to improve the detection of breast cancer, Ali Zarafshani, The Univ. of Oklahoma (USA); Sreeram Dhurjaty, Dhurjaty Electronics Consulting LLC (USA); Seyedeh-nafiseh Mirniaharikandehei, Faranak Aghaei, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . .[10573-207]

TomosynthesisThe first freely available, open source software package for performing 3D image reconstruction for digital breast tomosynthesis, Aunnasha Sengupta, Rongping Zeng, Diksha Sharma, Aldo G. Badano, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . .[10573-208]

In-plane MTF measurement using sphere phantoms for step-and-shoot mode and continuous mode digital tomosynthesis systems, Changwoo Lee, Jongduk Baek, Yonsei Univ. (Korea, Republic of) [10573-209]

Quantitative lung nodule detectability and dose reduction in low-dose chest tomosynthesis, Sunghoon Choi, Seungyeon Choi, Yonsei Univ. (Korea, Republic of); Scott S. Hsieh, Univ. of California, Los Angeles (USA); Donghoon Lee, Junyoung Son, Haenghwa Lee, Chang-Woo Seo, Hee-Joung Kim, Yonsei Univ. (Korea, Republic of) . . . . .[10573-210]

Development of respiratory-correlated 4D digital tomosynthesis imaging technique for image-guided radiation therapy, Burnyoung Kim, Sooncheol Kang, Jisoo Eom, Seungwan Lee, Konyang Univ. (Korea, Republic of) . . . . . . . . . .[10573-211]

Development of a next generation tomosynthesis system, Jeffrey E. Eben, Case Western Reserve Univ. (USA); Trevor L. Vent, Univ. of Pennsylvania (USA); Chloe J. Choi, Pennsylvania State Univ. (USA); Sushmitha Yarrabothula, Lucy Chai, Margaret Nolan, Elizabeth Kobe, Raymond J. Acciavatti, Andrew D. A. Maidment, Univ. of Pennsylvania (USA) . . . . . . . .[10573-212]

Optimization of shutter scan parameters in digital tomosynthesis system, Dohyeon Kim, Dong-Hoon Lee, Haenghwa Lee, Sunghoon Choi, Seungyeon Choi, Chao Zhen, Hee-Joung Kim, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . .[10573-213]

A framework for optimization of digital tomosynthesis imaging configurations, Frank Smith, Ying Chen, Southern Illinois Univ. Carbondale (USA). . . . . . .[10573-214]

Comparison study of task-based detectability index according to angular distribution in a prototype breast tomosynthesis, Seungyeon Choi, Sunghoon Choi, Donghoon Lee, Haenghwa Lee, Dohyeon Kim, Yonsei Univ. (Korea, Republic of); Young-Wook Choi, Korea Electrotechnology Research Institute (Korea, Republic of); Hee-Joung Kim, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . [10573-215]

DetectorsDual screen sandwich configurations for digital radiography, Anthony R. Lubinsky, Hao Zheng, Adrian F. Howansky, Stony Brook Univ. (USA); Wei Zhao, Stony Brook Medicine (USA) . . . . . . . . . . . . .[10573-216]

Last advancements in state-of-the-art aSi-based x-ray flat panel detectors, Thierry Ducourant, Thibaut Wirth, Guillaume Bacher, Bruno Bosset, Trixell (France) . . . . . . . . . . . . . . . . . . .[10573-217]

Increased temporal resolution of amorphous selenium detector using preferential charge sensing approach, Ahmet Camlica, Denny L. Lee, Karim S. Karim, Univ. of Waterloo (Canada) . . . . . . . . . . . . . . . . . .[10573-218]

Scintillator designs for higher DQE in digital radiography, Jiwoong Park, Dong Woon Kim, Jinwoo Kim, Pusan National Univ. (Korea, Republic of); Seungman Yun, Vatech Co. Ltd. (Korea, Republic of); Ho Kyung Kim, Pusan National Univ. (Korea, Republic of) . . . . . . . . . .[10573-219]

A novel radiation imaging detector with proportional charge gain, Denny L. Lee, Direct X Ray Digital Imaging Technology LLC (USA); Hyunsuk Jang, Vieworks Co., Ltd (Korea, Republic of); Ahmet Camlica, Karim S. Karim, Univ. of Waterloo (Canada) . . . . . . . . . . . . . . . . . .[10573-220]

Photon counting performance of amorphous selenium and its dependence on detector structure, Jann Stavro, Amir H. Goldan, Wei Zhao, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-221]

Detector output prediction for CT detector array manufacturing, Hongquan Zuo, Jun Zhang, Yu Lu, Univ. of Wisconsin-Milwaukee (USA); Dong Xiang, Wuhan Univ. of Technology (China); Jesse Peplinski, Mark Adamak, GE Healthcare (USA) . . . . . . . . . . . . . . . . . . . . .[10573-222]

Radiography and FluoroscopyDeveloping a database of 3D scattered radiation distributions for a c-arm fluoroscope as a function of exposure parameters and phantom, Chao Guo, Zhenyu Xiong, Sarath Vijayan, Stephen Rudin, Daniel R. Bednarek, Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . .[10573-223]

Precision analysis of the noise power spectrum estimate in radiography imaging, Dong Sik Kim, Eunae Lee, Hankuk Univ. of Foreign Studies (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . .[10573-224]

Oversampling digital radiography imaging based on the 2x2 moving average filter for mammography detectors, Dong Sik Kim, Hankuk Univ. of Foreign Studies (Korea, Republic of); Eun Kim, Choul Woo Shin, DRTECH Corp. (Korea, Republic of) . . . . . . . . . .[10573-225]

Calculation of the forward-scatter dose distribution from the patient table for fluoroscopically-guided interventions using a convolution technique, Sarath Vijayan, Zhenyu Xiong, Chao Guo, Stephen Rudin, Daniel R. Bednarek, Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-226]

Optimization study of radiation exposure dose in standing long bone plain radiography, Jina Shim, Korea Univ. (Korea, Republic of); Soojeong Yoon, Soonkyu Park, Jeasik Lim, Severance Hospital (Korea, Republic of); Myonggeun Yoon, Korea Univ. (Korea, Republic of); Youngjin Lee, Eulji Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . .[10573-227]

Automatic blood vessel based- liver segmentation using the portal phase abdominal CT, Ahmed S. Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada, Tokushima Univ. (Japan); Gen Iinuma, National Cancer Ctr. Hospital East (Japan) . . . . . . . . . . . . . . . . . . . . .[10575-78]

Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma, Abhishek Midya, Jayasree Chakraborty, Linda M. Pak, Jian Zheng, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA) . . . .[10575-79]

Computer-aided detection of bladder wall thickening in CT urography (CTU), Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Marshall N. Gordon, Ravi K. Samala, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-80]

Histogram-based adaptive gray level scaling for texture feature classification of colorectal polyps, Marc J. Pomeroy, Stony Brook Univ. (USA); Hongbing Lu, Fourth Military Medical Univ. (China); Perry Pickhardt, Univ. of Wisconsin School of Medicine and Public Health (USA); Jerome Liang, Stony Brook Univ. (USA) .[10575-81]

Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system, Dhanuj Gandikota, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Alon Z. Weizer, Chintana Paramagul, Ajjai Alva, Jun Wei, Chuan Zhou, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-82]

Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images, Xiangrong Zhou, Gifu Univ. (Japan); Kuzuma Yamada, Gifu Univ. (Japan); Ryosuke Takayama, Gifu Univ. (Japan); Xinxin Zhou, Nagoya Bunri Univ. (Japan); Takeshi Hara, Hiroshi Fujita, Gifu Univ. (Japan) . . . . . . . . . . . . . . . .[10575-83]

Brain and HeadAutomated volumetry of temporal horn of lateral ventricle for detection of Alzheimer’s disease in CT scan, Noriyuki Takahashi, Toshibumi Kinoshita, Tomomi Ohmura, Research Institute for Brain and Blood Vessels Akita (Japan); Eri Matsuyama, International Univ. of Health and Welfare (Japan); Hideto Toyoshima, Research Institute for Brain and Blood Vessels Akita (Japan). . . . . . . . . .[10575-84]

CONFERENCE 10575Computer-Aided Diagnosis

Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions, Fiona Lippert, Fraunhofer MEVIS (Germany); Bastian Cheng, Amir Golsari, Universitätsklinikum Hamburg-Eppendorf (Germany); Florian Weiler, Fraunhofer MEVIS (Germany); Johannes Gregori, mediri GmbH (Germany); Götz Thomalla, Universitätsklinikum Hamburg-Eppendorf (Germany); Jan Klein, Fraunhofer MEVIS (Germany) . . . . . . . . . . . . . . . . . .[10575-85]

Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients, Panagiotis Korfiatis, Timothy L. Kline, Bradley J. Erickson, Mayo Clinic (USA) . . . .[10575-86]

Pre-trained convolutional neural network classification of oral squamous cell carcinoma using three-dimensional reflectance confocal image stacks, Taylor Hinsdale, Texas A&M Univ. (USA); Cory Olsovsky, Leidos, Inc. (USA); Rodrigo Cuenca, Texas A&M Univ. (USA); Yi-Shing Lisa Cheng, Texas A&M Univ. College of Dentistry (USA); Javier A. Jo, Texas A&M Univ. (USA); Maryellen L. Giger, The Univ. of Chicago (USA); Kristen C. Maitland, Texas A&M Univ. (USA) . . . . . . . . . . . . .[10575-87]

Measurement of hard tissue density based on image density of intraoral radiograph, Akitoshi Katsumata, Tatsumasa Fukui, Asahi Univ. (Japan); Shinji Shimoda, Kaoru Kobayashi, Tsurumi Univ. & Tsurumi Junior College (Japan); Tatsuro Hayashi, Media Co., Ltd. (Japan) [10575-88]

Classifying magnetic resonance image modalities with convolutional neural networks, Samuel Remedios, National Institutes of Health (USA); Snehashis Roy, Dzung L. Pham, Uniformed Services Univ. of the Health Sciences (USA); John A. Butman, National Institutes of Health (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-89]

BreastPectoral muscle segmentation in breast tomosynthesis with deep learning, Alejandro Rodriguez-Ruiz, Jonas Teuwen, Kaman Chung, Nico Karssemeijer, Radboud Univ. Medical Ctr. (Netherlands); Margarita Chevalier, Univ. Complutense de Madrid (Spain); Albert Gubern-Mérida, Ioannis Sechopoulos, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . .[10575-90]

Computer-aided classification of breast masses using contrast-enhanced digital mammograms, Gopichandh Danala, Faranak Aghaei, Morteza Heidari, The Univ. of Oklahoma (USA); Teresa Wu, Arizona State Univ. (USA); Bhavika Patel, Mayo Clinic Arizona (USA); Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . .[10575-91]

Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions, Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Yuchen Qiu, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . . .[10575-92]

Recurrent neural networks for breast DCE-MRI classification, Natasha Antropova, Maryellen L. Giger, The Univ. of Chicago (USA) . . . . . . . . . . . . . . .[10575-93]

Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification, Rinku Rabidas, National Institute of Technology, Silchar (India); Abhishek Midya, Jayasree Chakraborty, Memorial Sloan-Kettering Cancer Ctr. (USA); Anup Sadhu, Medical College and Hospital, Kolkata (India); Wasim Arif, National Institute of Technology, Silchar (India) . . . . . . . . . . . . . . . . . . . . . .[10575-94]

Association between mammogram density and background parenchymal enhancement of breast MRI, Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Hong Liu, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . .[10575-95]

Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography, Helder C. R. de Oliveira, Univ. de São Paulo (Brazil); Arianna Mencattini, Paola Casti, Eugenio Martinelli, Corrado Di Natale, Univ. degli Studi di Roma “Tor Vergata” (Italy); Juliana H. Catani, Nestor de Barros, Adilson Gonzaga, Marcelo A. C. Vieira, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . . . . . . . .[10575-96]

A fully automatic microcalcification detection approach based on deep convolution neural network, Guanxiong Cai, Sun Yat-Sen Univ. (China); Yanhui Guo, Univ. of Illinois at Springfield (USA); Yaqin Zhang, The Fifth Affiliated Hospital, Sun Yat-Sen Univ. (China); Yuanpin Zhou, Yao Lu, Sun Yat-Sen Univ. (China) . . .[10575-97]

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning, Bibo Shi, Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Yinhao Ren, Jeffrey Marks, Lorraine King, Duke Univ. (USA); Carlo C. Maley, Arizona State Univ. (USA); Shelley Hwang, Joseph Y. Lo, Duke Univ. (USA) . . . . . . . . . . . . . . . . .[10575-98]

Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the ACRIN 6657/I-SPY-1 trial, Nariman Jahani, Eric Cohen, Meng-Kang Hsieh, Univ. of Pennsylvania (USA); Susan P. Weinstein, Univ. of Pennsylvania (USA); Lauren Pantalone, Univ. of Pennsylvania (USA); Christos Davatzikos, Univ. of Pennsylvania (USA); Despina Kontos, Univ. of Pennsylvania (USA) . . . . . . . . .[10575-99]

Visualizing the differences in visual primitives used by CNNs and radiologists, Diondra Peck, Harvard Univ. (USA); Genevieve Patterson, Lester Mackey, Vasilis Syrgkanis, Microsoft Research New England (USA) . .[10575-100]

Similarity estimation for reference image retrieval in mammograms using convolutional neural network, Chisako Muramatsu, Shunichi Higuchi, Hiroshi Fujita, Gifu Univ. School of Medicine (Japan) . . . . . . . . . . . . . . . . . . . .[10575-101]

Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis, Jun Zhang, Sujata V. Ghate, Lars J. Grimm, Ashirbani Saha, Elizabeth Hope Cain, Zhe Zhu, Maciej A. Mazurowski, Duke Univ. (USA) .[10575-102]

Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data, Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Shelley Hwang, Maciej A/ Mazurowski, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10575-103]

Breast cancer molecular subtype classification using deep features: preliminary results, Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski, Duke Univ. (USA) . . . . . . . . . . . .[10575-104]

CardiacVoxel-based plaque classification in coronary intravascular optical coherence tomography images using decision trees, Chaitanya Kolluru, David Prabhu, Yazan Gharaibeh, Hao Wu, David L. Wilson, Case Western Reserve Univ. (USA) . .[10575-105]

Convolutional neural network-based approach for semi-automated segmentation of myocardial scar from 3-dimensional late gadolinium enhancement magnetic resonance images, Fatemeh Zabihollahy, Carleton Univ. (Canada); James A. White, Libin Cardiovascular Institute of Alberta, Univ. of Calgary (Canada); Eranga Ukwatta, Carleton Univ. (Canada) . . . . . . . . . . . . . .[10575-106]

Abdominal and GastrointestinalDetecting PHG frames in wireless capsule endoscopy video by integrating rough global dominate-color with fine local texture feature, Xiaoqi Liu, Chengliang Wang Sr., Chongqing Univ. (China); Jianying Bai Sr., Guobin Liao, Third Military Medical Univ. (China) . . .[10575-77]


POSTERS — WEDNESDAYInitial investigations of a special high-definition (Hi-Def) zoom capability in a new detector system for neuro-interventional procedures, Swetadri Vasan Setlur Nagesh, Alok Shankar, Jordan M. Krebs, Jessica Hinaman, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . . . . .[10573-228]

Evaluation of methods of displaying the real-time scattered radiation distribution during fluoroscopically-guided interventions for staff dose reduction, Josh Kilian-Meneghin, Zhenyu Xiong, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Chao Guo, Stephen Rudin, Univ. at Buffalo (USA); Daniel R. Bednarek, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA). . . . . . . . . . . . . . . . . .[10573-229]

Anti-scatter grid artifact elimination for high-resolution x-ray imaging detectors without a prior scatter distribution profile, Swetadri Vasan Setlur Nagesh, Raman Rana, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . .[10573-230]

Use of high purity aluminum filter with different processing methods in the DQE measurement, Satoshi Yanagita, Kitasato Univ. Medical Ctr. (Japan); Masayuki Nishiki, International Univ. of Health and Welfare (Japan) . . . . . . . . . . . . .[10573-231]

Quantitative analysis of age-dependent backscatter factor (BSF) in x-ray examinations with a Monte Carlo method using XCAT phantoms, Su-Jin Park, Jaehyuk Kim, Yoonsuk Huh, Jung-Ha Kim, Jung-Min Kim, SAMSUNG Electronics Co., Ltd. (Korea, Republic of) . . . . . .[10573-232]

Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches, James D. Dormer, Emory Univ. (USA); Martin Halicek, Emory Univ. (USA) and Medical College of Georgia (USA); Ling Ma, Carolyn M. Reilly, Baowei Fei, Emory Univ. (USA) .[10575-107]

EyeLesion detection in ultra-wide field retinal images for diabetic retinopathy diagnosis, Anastasia Levenkova, Arcot Sowmya, The Univ. of New South Wales (Australia); Michael Kalloniatis, Angelica Ly, Ctr. for Eye Health Ltd. (Australia); Arthur Ho, Brien Holden Vision Institute (Australia) . . . . . . . . . . . . . . . . . .[10575-108]

Automated classification of exudates depicted on color fundus images using an augmented deep learning procedure, Lei Wang, Jiantao Pu, Univ. of Pittsburgh (USA) . . . . . . . . . . . . . . . . . . . . .[10575-109]

Lung3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxels, Shan Huang, Xiabi Liu, Guanghui Han, Beijing Institute of Technology (China); Xinming Zhao, Yanfeng Zhao, Chunwu Zhou, Chinese Academy of Medical Sciences (China) . . . . .[10575-110]

Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information, Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto, Yamaguchi Univ. (Japan) . . . . . . . . . . . . . . . . . . . .[10575-111]

Localization of lung fields in HRCT images using a deep convolution neural network, Abhishek Kumar, Univ. of Hyderabad (India); Sunita Agarwala, National Institute of Technology, Durgapur (India); Ashis K. Dhara, Indian Institute of Technology Kharagpur (India); Debashis Nandi, National Institute of Technology, Durgapur (India); Sudipta Mukhopadhyay, Indian Institute of Technology Kharagpur (India); Mandeep Garg, Niranjan Khandelwal, Naveen Kalra, Postgraduate Institute of Medical Education & Research, Chandigarh (India) . . . . . . . . . . .[10575-112]

Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): consolidation, ground-glass opacity (GGO), and normal opacity, Noriaki Hashimoto, Yamaguchi Univ. (Japan); Kenji Suzuki, Junchi Liu, Illinois Institute of Technology (USA); Yasushi Hirano, Yamaguchi Univ. (Japan); Heber MacMahon, The Univ. of Chicago (USA); Shoji Kido, Yamaguchi Univ. (Japan) . . . . . . . . . . . . . . . . . . . .[10575-113]

A deep-learning based automatic pulmonary nodule detection system, Yiyuan Zhao, Vanderbilt Univ. (USA); Liang Zhao, Siemens Healthineers (USA) and Univ. at Buffalo (USA); Zhennan Yan, Matthias Wolf, Yiqiang Zhan, Siemens Healthineers (USA) . . . . . . . . . .[10575-114]

An evaluation of consensus techniques for diagnostic interpretation, Jake N. Sauter, State Univ. of New York at Oswego (USA); Victoria M. LaBarre, McLennan Community College (USA); Jacob D. Furst, Daniela S. Raicu, DePaul Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10575-115]

Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection, Sunny Mahesh, Arizona State Univ. (USA); Natalia Jenuwine, Univ. of Michigan (USA); Jacob D. Furst, Daniela S. Raicu, DePaul Univ. (USA) . . . . . . . . . . . . . . . . . . . . .[10575-116]

An automatically generated texture-based atlas of the lungs, Yashin Dicente Cid, HES-SO Valais (Switzerland); Oula Puonti, Technical Univ. of Denmark (Denmark); Alexandra Platon, Pierre-Alexandre Poletti, Hôpitaux Univ. de Genève (Switzerland); Koen Van Leemput, Technical Univ. of Denmark (Denmark); Henning Müller, HES-SO Valais (Switzerland) . . . . . . . . . . . . . . .[10575-117]

A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans, Jiamin Liu, Karthik Chellamuthu, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, National Institutes of Health (USA) . . . . .[10575-118]

Musculoskeletal and SkinAutomated quasi-3D spine curvature quantification and classification, Rupal Khilari, Juris Puchin, Kazunori Okada, San Francisco State Univ. (USA) . . .[10575-119]

Computer aided diagnosis system for osteoporosis using low dose thoracic 3D CT images, Daisuke Tsuji, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Tokushima Univ. (Japan); Yasutaka Nakano, Shiga Univ. of Medical Science (Japan); Masafumi Harada, Tokushima Univ. (Japan); Masahiko Kusumoto, Takaaki Tsuchida, National Cancer Ctr. Hospital East (Japan); Kenji Eguchi, Teikyo Univ. (Japan); Masahiro Kaneko, Tokyo Health Service Association (Japan) . . .[10575-120]

A novel automatic method to detect anatomical regions in frontal x-ray images : a comparison of two machine learning approaches, Roseline Olory Agomma, CRCHUM (Canada) and École de Technologie Supérieure (Canada); Carlos Vázquez, École de Technologie Supérieure (Canada); Thierry Cresson, École de Technologie Supérieure (Canada) and Ctr. Hospitalier de l’Univ. de Montréal (Canada); Manuela Pacheco, Paolo Irrera, Claire Charamel, Nasr Makni, EOS Imaging S.A. (France); Jacques De Guise, École de Technologie Supérieure (Canada) and Ctr. Hospitalier de l’Univ. de Montréal (Canada) . . . . . . . . . . . . . . . . . .[10575-121]

Lesion detection in Rosacea patients using deep learning approaches, Selcuk Karakas, Caglar Senaras, Benjamin H. Kaffenberger, Metin N. Gurcan, The Ohio State Univ. (USA) . . . . . . . . . . . .[10575-122]

QuantitativeApplying a CAD-generated imaging marker to assess short-term breast cancer risk, Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari, Yunzhi Wang, Faranak Aghaei, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . .[10575-123]

Asymmetry quantification from reflectance images of orthotic patients using structural similarity metrics, Marc-Antoine Boucher, Ecole Polytechnique de Montréal (Canada); Nicolas Watts, Frederic Gremillet, Philippe Legare, Cryos Technologies (Canada); Samuel Kadoury, Ecole Polytechnique de Montréal (Canada) . . . . . . . . . . .[10575-124]

Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners, Benjamin P. Berman, Qin Li, U.S. Food and Drug Administration (USA); Sarah McKenney, Stanley T. Fricke, Children’s National Medical Ctr. (USA); Yuan Fang, Marios A. Gavrielides, Nicholas Petrick, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . .[10575-125]

Deep convolutional neural network for mammographic density segmentation, Jun Wei, Heang-Ping Chan, Univ. of Michigan Health System (USA); Songfeng Li, Sun Yat-Sen Univ. (China); Mark A. Helvie, Marilyn A. Roubidoux, Univ. of Michigan Health System (USA); Yao Lu, Sun Yat-Sen Univ. (China); Chuan Zhou, Lubomir M. Hadjiiski, Ravi K. Samala, Univ. of Michigan Health System (USA) . . . . . . . . . . . . . . . . . . . . .[10575-126]

Quantitative assessment for pneumoconiosis severity diagnosis using 3D CT images, Koki Hino, Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata, Noboru Niki, Tokushima Univ. (Japan); Katsuya Kato, Kawasaki Medical School (Japan); Takumi Kishimoto, Okayama Rosai Hospital (Japan); Kazuto Ashizawa, Nagasaki Univ. (Japan) . . . . . . .[10575-127]

Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach, Yubing Tong, Chuang Wang, Jayaram K. Udupa, Caiyun Wu, Gargi Pednekar, Univ. of Pennsylvania (USA); Michaela D. Restivo, David J. Lederer, Columbia Univ. Medical Ctr. (USA); Jason D. Christie, Drew A. Torigian, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . .[10575-128]

Impact of deep learning on the normalization of reconstruction kernel effects in imaging biomarker quantification: a pilot study in CT emphysema, Hyeongmin Jin, Jong Hyo Kim, Changyong Heo, Seoul National Univ. (Korea, Republic of) . . . . . . . . . .[10575-129]

Lung parenchymal analysis on dynamic MRI in thoracic insufficiency syndrome to assess changes following surgical intervention, Basavaraj N. Jagadale, Jayaram K. Udupa, Yubing Tong, Caiyun Wu, Univ. of Pennsylvania (USA); Joseph M. McDonough, Anthony Capraro, Oscar H. Mayer, The Children’s Hospital of Philadelphia (USA); Drew A. Torigian, Univ. of Pennsylvania (USA); Robert M. Campbell Jr., The Children’s Hospital of Philadelphia (USA) . . . . . . . . . . . . . . . . . . . . .[10575-130]

Applying a new mammographic imaging marker to predict breast cancer risk, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, The Univ. of Oklahoma (USA); Alan B. Hollingsworth, Rebecca G. Stoug, Mercy Hospital Oklahoma City (USA); Melanie Pearce, Mercy Women’s Ctr. (USA); Hong Liu, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . .[10575-131]

RadiomicsQuantitative CT based radiomics as predictor of local resectability of pancreatic adenocarcinoma, Joost van der Putten, Fons van der Sommen, Svitlana Zinger, Technische Univ. Eindhoven (Netherlands); John Hermans, Radboud Univ. Medical Ctr. (Netherlands); Peter H. N. de With, Technische Univ. Eindhoven (Netherlands) . . . . . . . . . . . . . . .[10575-132]

Stability of deep features across CT scanners and field of view using a physical phantom, Rahul Paul, Muhammad Shafiq-ul-Hassan, Eduardo G. Moros, Univ. of South Florida (USA); Robert J. Gillies, H. Lee Moffitt Cancer Ctr. & Research Institute (USA); Lawrence O. Hall, Dmitry B. Goldgof, Univ. of South Florida (USA) . . .[10575-133]

Temporal assessment of radiomic features on clinical mammography in a high-risk population, Kayla R. Mendel, Hui Li, Li Lan, Chun-Wai Chan, The Univ. of Chicago (USA); Lauren M. King, Nabihah Tayob, Isabelle Bedrosian, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Maryellen L. Giger, The Univ. of Chicago (USA) . . . . . . . . . . . . . . . . . . . . .[10575-134]

Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases, Radin Nasirudina, Janne Nappi, Chinatsu Watari, Massachusetts General Hospital, Harvard Medical School (USA); Mikio Matsuhiroa, Massachusetts General Hospital, Harvard Medical School (USA) and Tokushima Univ. (Japan); Toru Hironaka, Massachusetts General Hospital, Harvard Medical School (USA); Shoji Kido, Yamaguchi Univ. (Japan); Hiroyuki Yoshida, Massachusetts General Hospital, Harvard Medical School (USA). . . [10575-135]

Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patients, Wei Mu, Jin Qi, Hong Lu, Matthew Schabath, Yoganand Balagurunathan, Ilke Tunali, Robert J. Gillies, H. Lee Moffitt Cancer Ctr. & Research Institute (USA) . . . .[10575-136]

The development of a texture based analysis to distinguish tumor type, Tien T. Tang, Rice Univ. (USA); Janice A. Zawaski, Baylor College of Medicine (USA); Kathleen N. Francis, Amina A. Qutub, Rice Univ. (USA); M. Waleed Gaber, Baylor College of Medicine (USA) . . . . . . . . . . . . .[10575-137]

Radiomics for dynamic contrast-enhanced ultrafast breast MRI in the diagnosis of breast cancer: a pilot study, Karen Drukker, Rachel Anderson, Alexandra Edwards, John Papaioannou, Fred Pineda, Gregory Karzcmar, Maryellen L. Giger, The Univ. of Chicago Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . .[10575-138]

Reduction in training time of a deep learning (DL) model in radiomics analysis of lesions in CT, Nazanin Makkinejad, Nima Tajbakhsh, Mohammadamin Zarshenas, Illinois Institute of Technology (USA); Ashfaq Khokhar, Iowa State Univ. of Science and Technology (USA); Kenji Suzuki, Illinois Institute of Technology (USA) . . . .[10575-139]



The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions, Nastaran Emaminejad, Muhammad Wahi-Anwar, John Hoffman, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray, Univ. of California, Los Angeles (USA) . .[10575-140]



CONFERENCE 10576Image-Guided Procedures,

Robotic Interventions, and Modeling

Geometric modeling of the aortic inner and outer vessel wall from CTA for aortic dissection analysis, Katharina Eigen, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Michael G. Wels, Siemens Healthineers (Germany); Daniel-Sebastian Dohle, Universitätsmedizin der Johannes Gutenberg-Universität Mainz (Germany); Michael Suehling, Siemens Healthcare GmbH (Germany); Andreas Maier, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany) . . . . . . . . . .[10576-58]

To validate the FEM model for deformation matching of laparoscopic gastrectomy navigation in an animal experiment, Tao Chen, Southern Medical Univ. (China); Guodong Wei, Weili Shi, Zhengang Jiang Sr., Changchun Univ. of Science and Technology (China); Guoxin Li, Nanfang Hospital (China). . . . . . .[10576-59]

Bayesian delineation framework of clinical target volumes for prostate cancer radiotherapy using an anatomical-features-based machine learning technique, Kenta Ninomiya, Hidetaka Arimura, Motoki Sasahara, Kyushu Univ. (Japan); Taka-aki Hirose, Kyushu Univ. Hospital (Japan) and Kyushu Univ. (Japan); Saiji Ohga, Kyushu Univ. (Japan); Yoshiyuki Umedu, Kyushu Univ. (Japan) and Kyushu Univ. Hospital (Japan); Hiroshi Honda, Tomonari Sasaki, Kyushu Univ. (Japan) . . . . . . . . . . . . . . . . . . . . .[10576-60]

Real-time workflow detection using webcam video for providing real-time feedback in central venous catheterization training, Rebecca Hisey, Lab. for Percutaneous Surgery, Queens Univ. (Canada); Tamas Ungi, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada); Matthew S. Holden, Queen’s Univ. (Canada); Zachary M. C. Baum, Zsuzsanna Keri, Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10576-61]

Control of real-time MRI with a 3D-controller during radiofrequency ablation, Vanessa Zurawka, Oliver Burgert, Reutlingen Univ. (Germany) . . . . .[10576-62]

In vivo reconstruction of coronary artery and bioresorbable stents based on optical coherence tomography, Yingguang Li, Leiden Univ. Medical Ctr. (Netherlands); Niels R. Holm, Aarhus Univ. Hospital (Denmark); Zhenyu Fei, Shanghai Jiao Tong Univ. (China); Jouke Dijkstra, Leiden Univ. Medical Ctr. (Netherlands); Emil N. Holck, Evald Høj Christiansen, Aarhus Univ. Hospital (Denmark); Johan H. C. Reiber, Leiden Univ. Medical Ctr. (Netherlands); Shengxian Tu, Shanghai Jiao Tong Univ. (China) . . . . . . . . . . . .[10576-63]

Automated location detection of injection site for preclinical stereotactic neurosurgery through fully convolutional network, Zheng Liu, Univ. of Illinois (USA); Hemmings Wu, Stanford Univ. (USA); Shiva Abbaszadeh, Univ. of Illinois (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-64]

Pre- to post-operative CT image registration to estimate cortical shift for image updating in deep brain stimulation, Chen Li, Xiaoyao Fan, Dartmouth College (USA); Keith D. Paulsen, Joshua P. Aronson, Dartmouth College (USA) and Dartmouth Hitchcock Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-65]

A learning curve analysis of ultrasound-guided in-plane and out-of-plane vascular access training with Perk Tutor, Sean Xia, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) and Queen’s Univ. (Canada); Zsuzsanna Keri, Matthew S. Holden, Rebecca Hisey, Hillary Lia, Tamas Ungi, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada); Christopher H. Mitchell, Sir Charles Gairdner Hospital (Australia); Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10576-66]

Clinical feasibility of x-ray based pose estimation of a transthoracic echo probe using attached fiducials, Lindsay Bodart, Benjamin Ciske, Martin Wagner, Amish Raval, Michael A. Speidel, Univ. of Wisconsin-Madison (USA) . . . . . .[10576-67]

Towards webcam-based tracking for interventional navigation, Mark Asselin, Andras Lasso, Tamas Ungi, Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . .[10576-68]

HoloLens in suturing training, Hillary Lia, Gregory Paulin, Nelson Yi, Hassan Haq, Steve Emmanuel, Kristian Ludig, Zsuzsanna Keri, Andras Lasso, Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10576-69]

Fusion of CT, x-ray, and pressure array data to appreciate the mechanics of female pelvic organ prolapse, Alexandra Marasco, Tova Ablove, Frank Mendel, Scott Doyle, Univ. at Buffalo (USA) . . . .[10576-70]

Calibration free real-time imaging for intraoperative surgeries: a machine learning based approach, Amal Chaturvedi, Jonathan Gunn, Shetha Shukair, Paul Le Rolland, Hariharan Subramanian, BriteSeed, LLC (USA) . . . . . . . . . . . . . . . . . . . [10576-71]

Deep learning-based scene reconstruction of bronchoscopy from pulmonary CT: clinical validation and feasibility study using subjects with suspicious solitary pulmonary nodules, Benjamin Wolsieffer, Franklin King, Nobuhiko Hata, Brigham and Women’s Hospital (USA) . . . . . . . . . . . . . . .[10576-72]

Architectural analysis on dynamic MRI to study thoracic insufficiency syndrome, Jie Song, Univ. of Pennsylvania (USA) and Nanjing Univ. of Science and Technology (China); Jayaram K. Udupa, Yubing Tong, Univ. of Pennsylvania (USA); Liang Xiao, Nanjing Univ. of Science and Technology (China); Caiyun Wu, Univ. of Pennsylvania (USA); Joseph McDonough, Anthony Capraro, The Children’s Hospital of Philadelphia (USA); Drew A. Torigian, Univ. of Pennsylvania (USA); Robert M. Campbell Jr., The Children’s Hospital of Philadelphia (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-73]

Improvement of liver ablation treatment for colorectal liver metastases, Brian Anderson, Ethan Lin, Guillaume Cazoulat, Sanjay Gupta, Bruno Odisio, Kristy Brock, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA). . . . . . . . . . . . . . . . . . .[10576-74]

Hippotherapy simulator for children with cerebral palsy, Hadi Fooladi Talari, Pooneh Roshani Tabrizi, Olga Morozova, Justin Burton, Justine Belschner, Reza Monfaredi, Tyler Salvador, Catherine Coley, Sara Alyamani, Children’s National Medical Ctr. (USA); Sandra Saavedra, Adam Goodworth, Univ. of Hartford (USA); Sally Evans, Kevin Cleary, Children’s National Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-75]

Quantitative assessment of cardiac motion using multiphase computed tomography imaging with application to cardiac ablation therapy, Alexander Hasnain, Univ. of Illinois (USA); Atsushi Suzuki, Songyun Wang, Hiroki Konishi, Stephan Hohmann, Laura Newman, Kay Parker, Amanda Deisher, Douglas Packer, Maryam E. Rettmann, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-76]

Intraoperative verification of maxillary malignancy resections margins with cone-beam computed tomography, O. Ivashchenko, B. Pouw, E. Koudounarakis, R. L. van Veen, T. J. M. Ruers, M. B. Karakullukcu, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital (Netherlands) . . . . . . . . . . . . . . . .[10576-77]

Liver surface reconstruction for image guided surgery, Congcong Wang, Faouzi Alaya Cheikh, Norwegian Univ. of Science and Technology (Norway); Mounir Kaaniche, Univ. Paris 13 (France); Ole Jakob Elle, Univ. I Oslo (Norway) [10576-78]

Fusing acoustic and optical sensing for needle tracking with ultrasound, Alexis Cheng, Bofeng Zhang, Philip Oh, Emad M. Boctor, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-79]

Modeling and analysis of guidewire motion to evaluate the effect of bending stiffness, Hoda Sharei, Technische Univ. Delft (Netherlands); Kazuto Takashima, Kyushu Institute of Technology (Japan); John J. van den Dobbelsteen, Jenny Dankelman, Technische Univ. Delft (Netherlands) . . . . . . . . . . . . . . . .[10576-80]

Treatment plan library based on population shape analysis for cervical adaptive radiotherapy, Bastien Rigaud, Antoine Simon, Lab. Traitement du Signal et de l’Image (France); Maxime Gobeli, Julie Leseur, Danièle Williaume, Ctr. Eugène Marquis (France); Oscar Acosta, Pascal Haigron, Lab. Traitement du Signal et de l’Image (France); Renaud de Crevoisier, Lab. Traitement du Signal et de l’Image (France) and Ctr. Eugène Marquis (France) . . . . . . . . . . . . . . . . . . . .[10576-81]

Ultrathin and flexible 4-channel scope for guiding surgical resections using a near-infrared fluorescence molecular probe for cancer, Yang Jiang, Univ. of Washington (USA); Emily J. Girard, Fiona Pakiam, Fred Hutchinson Cancer Research Ctr. (USA); Eric J. Seibel, Univ. of Washington (USA) . . . . . . . . . . . .[10576-82]

Ultrasound imaging of the posterior skull for neurosurgical registration, Grace Underwood, Tamas Ungi, Andras Lasso, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada); Gernot Kronreif, Austrian Ctr. for Medical Innovation and Technology (Austria); Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10576-83]

The development of an augmented reality (AR) approach to mammographic training: overcoming some real world challenges, Qiang Tang, Yan Chen, Gerald Schaefer, Alastair G. Gale, Loughborough Univ. (UK) . . . . . . . . . . . . . . . . . .[10576-84]

Image quality and segmentation, Gargi V. Pednekar, Quantitative Radiology Solutions (USA); Jayaram K. Udupa, Univ. of Pennsylvania (USA); David J. McLaughlin, Quantitative Radiology Solutions (USA); Xingyu Wu, Yubing Tong, Univ. of Pennsylvania (USA); Charles B. Simone II, Univ. of Maryland School of Medicine (USA); Joseph Camaratta, Quantitative Radiology Solutions (USA); Drew A. Torigian, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-85]

Distant pulse oximetry based on skin region extraction and multi-spectral measurement, Christian Herrmann, Jürgen Metzler, Dieter Willersinn, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany) . . . . .[10576-86]

Tracking of liver vessel bifurcations in 3D+t ultrasound by subsequent approximations of a rigid shape model, Heinrich Martin Overhoff, Westfälische Hochschule (Germany) . . . . . . . .[10576-87]

Precision blood flow measurements in vascular networks with conservation constraints, Gabe Shaughnessy, Carson Hoffman, Univ. of Wisconsin-Madison (USA); Sebastian Schafer, Siemens Healthineers (USA); Paul Laeseke, Univ. of Wisconsin School of Medicine and Public Health (USA); Charles A. Mistretta, Charles M. Strother, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-88]

Osteotomy Planner: an open-source tool for osteotomy simulation, Samantha Horvath, Beatriz Paniagua, Johan Andruejol, Kitware, Inc. (USA); Antonio R. Porras, Marius G Linguraru, Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Health System (USA); Andinet Enquobahrie, Kitware, Inc. (USA) [10576-89]

In vivo imaging of radiopaque resorbable inferior vena cava filter Infused with gold nanoparticles, Li Tian, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Patrick Lee, SUNY Upstate Medical Univ. (USA); Burapol Singhana, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Aaron Chen, McGovern Medical School (USA); Yang Qiao, Linfeng Lu, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Jonathan Martinez, Houston Methodist (USA); Ennio Tasciotti, The Methodist Hospital Research Institute (USA); Megan Jacobsen, Adam Melancon, Mark McArthur, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Mitch Eggers, Adient Medical Inc. (USA); Steven Huang, Marites Melancon, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-90]


POSTERS — WEDNESDAYSimulation of high intensity focused ultrasound ablation to enable ultrasound thermal monitoring, Chloé Audigier, Younsu Kim, Nicholas Ellens, Emad M. Boctor, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-91]

Improved biomechanical modelling of in vivo respiratory motion of the diaphragm muscle with incorporating optimized Z-disks mechanics, Brett N. Coelho, Abbas Samani, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10576-92]

Cone beam tomosynthesis fluoroscopy: a new approach to 3D image guidance, Cristian Atria, Lisa L. Last, Nathan Packard, nView Medical Inc. (USA); Frederic Noo, The Univ. of Utah (USA) . . . . . . .[10576-93]

Surgical skill level assessment using automatic feature extraction methods, Marzieh Ershad, Ann Majewicz, The Univ. of Texas at Dallas (USA) . . . . . . . . .[10576-94]

Bundling 3D- and 2D-based registration of MRI to x-ray breast tomosynthesis, Patricia Cotic Smole, Nicole V. Ruiter, Karlsruher Institut für Technologie (Germany); Clemens Kaiser, Julia Krammer, Ruprecht-Karls-Univ. Heidelberg (Germany); Torsten Hopp, Karlsruher Institut für Technologie (Germany) . . . . . . . .[10576-95]

Towards robust needle segmentation and tracking in pediatric surgery, Yujun Chen, Rice Univ. (USA); Murilo M. Marinho, Yusuke Kurose, Atsushi Nakazawa, Kyoichi Deie, Kanako Harada, Mamoru Mitsuishi, The Univ. of Tokyo (Japan) . . . . .[10576-96]

Inverse biomechanical modeling via machine learning using synthetic training data, Aniket Tolpadi, Rice Univ. (USA); Aaron Carass, Jerry Prince, Arnold Gomez, Johns Hopkins Univ. (USA) . . . . .[10576-97]

Real-time transverse process surface localization in ultrasound, Bryan Travers, Csaba Pinter, Tamas Ungi, Andras Lasso, Ben Church, Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . .[10576-98]

CT-ultrasound deformable registration for PET-determined prostate brachytherapy, Junghoon Lee, Daniel Y. Song, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-99]

Augmented reality assistance in training needle insertions of different levels of difficulty, Caitlin T. Yeo, School of Medicine, Queen’s Univ. (Canada); Tamas Ungi, Eric Moult, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada); Derek Sargent, Robert C. McGraw, School of Medicine, Queen’s Univ. (Canada); Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen’s Univ. (Canada) . . . . . . .[10576-100]

ProjectAlign: a real-time ultrasound guidance system for spinal midline detection during epidural needle placement, Alexander Toews, Stanford Univ. (USA) and The Univ. of British Columbia (Canada); Simon Massey, Vit Gunka, Victoria A. Lessoway, BC Women’s Hospital and Health Ctr. (Canada); Robert N. Rohling, The Univ. of British Columbia (Canada) . . . . . . . . . . . . . . . . . .[10576-101]

Machine Learning and Artificial Intelligence

Preliminary study of benign and malignant differentiation of small pulmonary nodules in lung CT images by using deep learning convolutional neural network, Qinpei Sun, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China); Haozhe Huang, Fudan Univ. Shanghai Cancer Ctr. (China); Jianyong Sun, Yuanyuan Yang, Mingqing Wang, Yipin Gu, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China); Ming Li, Guozhen Zhang, HuaDong Hospital (China); Wentao Li, Dept. of Interventional Radiology (China); Jianguo Zhang, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China) . . . . . . . . . . .[10579-41]

Machine learning for mobile wound assessment, Sanmathi Kamath, National Institute of Technology, Karnataka (India); Ekatherina Sirazitdinova, Uniklinik RWTH Aachen (Germany); Thomas M. Deserno, Technische Univ. Braunschweig (Germany) . . . . . . . . . . . . . . . . . .[10579-42]

Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network, Hidemi Kamezawa, Teikyo Univ. (Japan); Hidetaka Arimura, Mazen Soufi, Kyushu Univ. (Japan) . . . . . . . . . .[10579-43]

Automatic detection of small bowel polyp in wireless capsule endoscopy images, Lanmeng Xu, Shanhui Fan, Hangzhou Dianzi Univ. (China); Yihong Fan, Zhejiang Provincial Hospital of Traditional Chinese Medicine (China); Lihua Li, Hangzhou Dianzi Univ. (China) . . . . . . . . . . . . . . . .[10579-44]

CONFERENCE 10579Imaging Informatics for Healthcare, Research,

and Applications

CONFERENCE 10580Ultrasonic Imaging and

Tomography

Assessing the relevance of multi-planar MRI acquisitions for prostate segmentation using deep learning techniques, Rocio Cabrera Lozoya, Johan Brag, Estanislao Oubel, Nathalie Faye, Median Technologies (France); Antoine Iannessi, Ctr. Lacassagne (France) . . . . . . . . . . . . . . . . . . . .[10579-45]

Corpus callosum segmentation using deep neural networks with prior information from Multi-Atlas images, Gilsoon Park, Jinwoo Hong, Jong-Min Lee, Hanyang Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . .[10579-46]

Big Data and Cloud TechnologyCrowdsourcing lung nodules detection and annotation, Saeed Boorboor, Saad Nadeem, Ji Hwan Park, Stony Brook Univ. (USA); Kevin Baker, Stony Brook Medicine (USA); Arie Kaufman, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10579-47]

Faster, efficient and secure collection of research images: the utilization of cloud technology to expand the OMI-DB, Mishal N. Patel, Kenneth C. Young, Mark D. Halling-Brown, The Royal Surrey County Hospital NHS Trust (UK) . . . . . . .[10579-48]

Hadoop-based implementation of processing medical diagnostic records for visual patient system, Yuanyuan Yang, Jianguo Zhang, Liehang Shi, Zhe Xie, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . . . . . .[10579-49]

Real-time teleconsultation for difficult diseases with high resolution and large volume medical images in regional collaborative healthcare, Jianyong Sun, Zhe Xie, Yuanyuan Yang, Yipin Gu, Mingqing Wang, Jianguo Zhang, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China) . . . . . . . . . . . . [10579-50]

Printing and 3D VisualizationThread-based implementation of an HTC-vive MeVisLab module, Simon Gunacker, Technische Univ. Graz (Austria); Markus Gall, AIT Austrian Institute of Technology GmbH (Austria); Dieter Schmalstieg, Jan Egger, Technische Univ. Graz (Austria) . . . . . . . . . . . . . . . .[10579-51]

Imaging Informatics for Diagnostics and Theraputic

ApplicationsRadiomic texture-curvature (RTC) features for precision medicine of patients with rheumatoid arthritis-associated interstitial lung disease, Chinatsu Watari, Janne J. Näppi, Massachusetts General Hospital (USA) and Harvard Medical School (USA); Mikio Matsuhiro, Tokushima Univ. (Japan) and Massachusetts General Hospital (USA) and Harvard Medical School (USA); Radin A. Nasirudin, Massachusetts General Hospital (USA) and Harvard Medical School (USA); Toru Hironaka, Massachusetts General Hospital (USA) and Harvard Medical School (USA); Yoshiki Kawata, Noboru Niki, Tokushima Univ. (Japan); Hiroyuki Yoshida, Massachusetts General Hospital (USA) and Harvard Medical School (USA) . . .[10579-2]

Discriminative and robust zero-watermarking scheme based on completed local binary pattern for authentication and copyright identification of medical images, Xiyao Liu, Jieting Lou, Yifan Wang, Jingyu Du, Beiji Zou, Central South Univ. (China); Yan Chen, Loughborough Univ. (UK) .[10579-54]

Early detection, segmentation and quantification of coronary artery blockage using efficient image processing technique, Md. Ashraful Alam, Mohsinul Bari Shakir, Mohammad Amzad Hossain, Faisal Raihan Akib, Khan Mohammad Aymaan Shams Shams, BRAC Univ. (Bangladesh) . . . . . . . . . . .[10579-55]

Tissue segmentation by fuzzy clustering technique: case study on Alzheimer’s disease, Lilia Lazli, Univ. du Québec (Canada) . . . . . . . . . . . . . . . . . . .[10579-56]

OIPAV: an integrated software system for ophthalmic image processing, analysis and visualization, Lichun Zhang, Dehui Xiang, Chao Jin, Fei Shi, Kai Yu, Xinjian Chen, Soochow Univ. (China) . . .[10579-57]

Automatic head’s circumference measurement: a tool running on clinical networks, Fernando Yepes-Calderon, Marvin D. Nelson, James G. Mccomb, Children’s Hospital Los Angeles (USA) . . . . . . . . . . . . . . . . . . . . . .[10579-58]

Innovations in Imaging Informatics

EyeMIAS: a cloud-based ophthalmic image reading and auxiliary diagnosis system, Di Wu, Heming Zhao, Kai Yu, Xinjian Chen, Soochow Univ. (China) . . . . . . . . . . . . . . . . . . . . .[10579-59]

Enhance wound healing monitoring through a thermal imaging based smartphone app, Steven Yi, Minta Lu, Xyken, LLC (USA); Adam Yee, Thomas Jefferson High School of Science and Technology (USA); Frank Meng, Saurabh Hinduja, Xyken, LLC (USA); John Harmon, Frank Lay, The Johns Hopkins Univ. School of Medicine (USA) . . . . . . . . . . . .[10579-60]

The development of an imaging informatics-based multi-institutional platform to support sports performance and injury prevention in track and field athletes, Joseph Liu, The Univ. of Southern California (USA) . . . . . . . . . . . . . .[10579-61]

Medical imaging informatics based solutions for human performance analytics, Sneha K. Verma, Jill McNitt-Gray, Brent J. Liu, The Univ. of Southern California (USA) . . . . . . . . . . . . . .[10579-62]

Polynomial regression filter performance for color flow mapping with staggered pulse sequence, Rei Asami, Tomohiko Tanaka, Hitachi, Ltd. (Japan) . . . .[10580-43]

Investigation of priors mismatch in ultrasound tomographic reconstruction, Diego A. Cardona Cardenas, Sergio Shiguemi Furuie, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . . . . . . . .[10580-44]

Ultrasound segmentation of rat hearts using a convolution neural network, James D. Dormer, Rongrong Guo, Baowei Fei, Emory Univ. (USA) . . . . . . . .[10580-45]

In vivo ultrasonic measures of skin layer thicknesses at various body locations and postures, Sarah Cameron, U.S. Army Natick Soldier Research, Development and Engineering Ctr. (USA); Paola D’Angelo, U.S. Army Natick Solder Research, Development and Engineering Ctr. (USA); Margaret Auerbach, John Ramsay, U.S. Army Natick Soldier Research, Development and Engineering Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . .[10580-46]


The Journal of Medical Imaging (JMI) provides a home for the peer-reviewed

communication and archiving of scientific developments, translational and

clinical applications, reviews, and recommendations for the field.

The Journal of Medical Imaging covers fundamental and translational

research and applications focused on medical imaging, which continue to

yield physical and biomedical advancements in early detection, diagnostics,

and therapy of disease, as well as in the understanding

of normal.

Maryellen L. GigerThe University of ChicagoEditor-in-Chief

Professor Norbert Pelc*Stanford UniversityEditor-in-Chief 2018*Note: Professor Pelc will serve as editor-in-chief of JMI during Dr. Giger’s one-year term as President of SPIE

As a conference participant, your research is making important contributions to imaging developments. We ask you to consider the Journal of Medical Imaging as your journal of choice to publish this important work.

www.spie.org/jmi

Benefits of Publishing in Journal of Medical Imaging– Wide availability to readers via the SPIE

Digital Library

– Rapid publication; each article is published

online when it is ready

– Open access for articles immediately with

voluntary payment of $960 per article

– Coverage in ESC/Web of Science, Scopus,

Pub Med and other relevant databases.




Tues.–Fri. 13–16 Feb. 2018







THURSDAY 15 FEBRUARY


SESSION 12ROOM: SALON C . . . . THU 8:00 TO 9:40 AM

NeuroimagingSession Chairs: Joseph W. Stayman,

Johns Hopkins Univ. (USA); John Yorkston, Carestream Health,

Inc. (USA)8:00 am: Task-driven optimization of an experimental photon counting detector CT system for intracranial hemorrhage detection, Xu Ji, Ran Zhang, Guang-Hong Chen, Ke Li, Univ. of Wisconsin School of Medicine and Public Health (USA) [10573-60]8:20 am: Design and evaluation of a diffusion MRI fibre phantom using 3D printing, Serene O. Abu-Sardanah, John Moore, Terry Peters, Ali R. Khan, Robarts Research Institute (Canada) . . . .[10573-61]8:40 am: Evaluation of the reconstruction-of-difference (RoD) algorithm for cone-beam CT neuro-angiography, Pengwei Wu, Joseph W. Stayman, Michael Mow, Wojciech Zbijewski, Alejandro Sisniega, Nafi Aygun, Robert E. Stevens, Vassilis E. Koliatsos, Johns Hopkins Univ. (USA); David H. Foos, Xiaohui Wang, Carestream Health, Inc. (USA); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . .[10573-62]9:00 am: Artifacts reduction for low-contrast neurological imaging with C-arm system, Dan Xia, The Univ. of Chicago (USA); Adnan H. Siddiqui, Univ. at Buffalo Neurosurgery, Inc. (USA); Zheng Zhang, The Univ. of Chicago Medical Ctr. (USA); Joe Manak, Toshiba Medical Research Institute USA, Inc. (USA); Emil Y. Sidky, Xiaochuan Pan, The Univ. of Chicago Medical Ctr. (USA) . . . . . . . . . . . .[10573-63]9:20 am: Time-resolved C-arm cone beam CT angiography using SMART-RECON: quantification of temporal resolution and reconstruction accuracy, John W. Garrett, Yinsheng Li, Ke Li, Univ. of Wisconsin-Madison (USA); Sebastian Schafer, Siemens Healthineers (USA); Charles Strother, Guang-Hong Chen, Univ. of Wisconsin-Madison (USA). . . .[10573-64]

Award AnnouncementsROOM: SALON A . . . . . 9:40 TO 9:45 AMThe Physics of Medical Imaging conference RFW runners up, student paper and student poster award recipients will be recognized

and certificates distributed.

Coffee Break . . . . Thu 9:45 am to 10:10 am

SESSION 12ROOM: HUNTERS CREEK . . . . . THU 8:00 TO

9:40 AM

QuantitativeSession Chairs: Bram van Ginneken,

Radboud Univ. Medical Ctr. (Netherlands); Marleen de Bruijne,

Erasmus MC (Netherlands)

8:00 am: Variation in algorithm implementation between quantitative texture analysis software, Joseph J. Foy, Kayla R. Mendel, Hui Li, Maryellen L. Giger, Hania Al-Hallaq, Samuel G. Armato III, The Univ. of Chicago (USA) . . . . . . . .[10575-55]

8:20 am: Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort, Muhammad Wahi-Anwar, Nastaran Emaminejad, John Hoffman, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray, Univ. of California, Los Angeles (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-56]

8:40 am: Anomaly detection for medical images based on a one-class classification, Qi Wei, Bibo Shi, Joseph Y. Lo, Lawrence Carin, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-57]

9:00 am: Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors, Jayasree Chakraborty, Alessandra Pulvirenti, Rikiya Yamashita, Abhishek Midya, Mithat Gönen, David S. Klimstra, Diane L. Reidy, Peter J. Allen, Richard K. G. Do, Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA) . . . .[10575-58]

9:20 am: Quantitative image feature variability amongst CT scanners with a controlled scan protocol, Rachel B. Ger, Shouhao Zhou, Pai-Chun M. Chi, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); David L. Goff, Medical and Radiation Physics, Inc. (USA); Lifei Zhang, Hannah J. Lee, Clifton D. Fuller, Rebecca M. Howell, Heng Li, Jason Stafford, Laurence E. Court, Dennis S. Mackin, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . .[10575-59]


SESSION 9ROOM: SALON A . . . . THU 8:00 TO 9:40 AM

Cardiac and Lung Imaging and Tracking

8:00 am: A real-time system for prosthetic valve tracking, Martin G. Wagner, Lindsay Bodart, Univ. of Wisconsin-Madison (USA); Sebastian Schafer, Siemens Healthineers (USA); Amish Raval, Michael Speidel, Univ. of Wisconsin-Madison (USA) . . . . . .[10576-37]

8:20 am: Determining in-silico left ventricular contraction force of myocardial infarct tissue using a composite material model, Sergio Dempsey, Abbas Samani, Western Univ. (Canada); Seyed M. Hassan Haddad, Robarts Research Institute (Canada) . . . . . . . . . . . . . . . . . . .[10576-38]

8:40 am: A neural network approach for biomechanics-based tracking of lung tumor during external beam radiation therapy, Elham Karami, Stewart Gaede, Ting-Yim Lee, Abbas Samani, Western Univ. (Canada) . . . . . . . . . . . . . . .[10576-39]

9:00 am: Lung deformation between preoperative CT and intraoperative CBCT for thoracoscopic surgery: a case study, Pablo Alvarez, Univ. de Rennes 1 (France) and Univ. Grenoble Alpes (France); Matthieu Chabanas, Univ. Grenoble Alpes (France) and Ctr. National de la Recherche Scientifique (France); Simon Rouzé, Ctr. Hospitalier Univ. de Rennes (France); Miguel Castro, Univ. de Rennes 1 (France); Yohan Payan, Univ. Grenoble Alpes (France) and Ctr. National de la Recherche Scientifique (France); Jean-Louis Dillenseger, Univ. de Rennes 1 (France) . . . . . . . . . . . . . . . . . . . .[10576-40]

9:20 am: Regional lung ventilation estimation based on supervoxel tracking, Adam Szmul, Bartlomiej Papiez, Tahreema Matin, Fergus Gleeson, Univ. of Oxford (UK); Julia Schnabel, King’s College London (UK); Vicente Grau, Univ. of Oxford (UK) . . . . . . . . . . . . . . . . . . . . . . .[10576-41]


SESSION 5ROOM: SALON B . . . . THU 8:00 TO 9:30 AM

Keynote and Imaging InformaticsSession Chairs: Jianguo Zhang, Shanghai Institute of Technical

Physics of the Chinese Academy of Sciences (China);

Steven C. Horii, Hospital of the Univ. of Pennsylvania (USA)

8:00 am: Will Computers Replace Radiologists for Primary Reads in 20 Years: A Debate (Keynote Presentation), Bradley J. Erickson, Mayo Clinic (USA); Eliot L. Siegel, Univ. of Maryland Medical Ctr. (USA) . . . . . . . . . . . . . . . .[10579-23]

9:10 am: PACS-based multimedia imaging informatics: third edition (Invited Paper), H.K. Bernie Huang, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . .[10579-24]

Award AnnouncementsROOM: SALON B . . . . . 9:40 TO 9:45 AM

Award AnnouncementsThe Imaging Informatics for Healthcare, Research, and Applications conference

RFW runner ups and poster award recipients will be recognized and



SESSION 5ROOM: MONTROSE . . . . . . . . . THU 8:00 TO

9:40 AM

Photoacoustics I8:00 am: Evaluation of neonatal cerebral venous oxygen saturation with laser diode optoacoustic system, Stephen Herrmann, Donald S. Prough, Irene Petrov, Yuriy Petrov, Joan Richardson, Rafael Fonseca, Ekaterina Shanina, Rinat O. Esenaliev, The Univ. of Texas Medical Branch (USA) . . . . . . . . . . . . . . . .[10580-23]

8:20 am: Ultrasound and photoacoustic imaging for image-guided endovenous laser ablation, Mahboobeh Ghalehnovi, Yan Yan, Samuel John, Mohammad Mehrmohammadi, Loay S. Kabbani, Wayne State Univ. (USA) . . . . . . . . . . . . .[10580-24]

8:40 am: Ultrasound, elasticity, and photoacoustic imaging of cervix: towards more accurate prediction of preterm delivery, Yan Yan, Jiayin Dong, Adeel A. Siddiqu, Yashashree Majalikar, Wayne State Univ. (USA); Maryam Basij, Wayne State Univ. (USA) and Barbara Ann Karmanos Cancer Institute (USA); Edgar Hernandez-Andrade, Barbara Ann Karmanos Cancer Institute (USA); Sonia Hassan, Mohammad Mehrmohammadi, Wayne State Univ. (USA) and Barbara Ann Karmanos Cancer Institute (USA) . . . . . . . . . . . . . . .[10580-25]

9:00 am: Miniaturized phased-array ultrasound and photoacoustic endoscope, Maryam Basij, Yan Yan, Samuel John, Samaresh Sau, Arun Iyer, Wayne State Univ. (USA); Shelly Seward, Barbara Ann Karmanos Cancer Institute (USA); Mohammad Mehrmohammadi, Wayne State Univ. (USA) . . . . . . .[10580-26]

9:20 am: Assessment of blood oxygen saturation using spectroscopic photoacoustic imaging as a biomarker for disease progression in a small-animal leukemia model, Cayla Wood, Karine Harutyunyan, Jorge Delacerda, Caterina Kaffes, Niki Zacharias, Sriram Shanmugavelandy, Marina Konopleva, Richard Bouchard, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . .[10580-27]






Tues.–Fri. 13–16 Feb. 2018









SESSION 6ROOM: MONTROSE . . . . . . . THU 10:10 AM

TO 12:10 PM

Keynote and Photoacoustics II10:10 am: Real-time Imaging Feedback for Histotripsy: Non-invasive Ultrasound Cavitational Therapy (Keynote Presentation), Zhen Xu, Univ. of Michigan (USA) . . . . . . . . . . . .[10580-28]

11:10 am: Acoustic and optical compensated, full-ring photoacoustic tomography: a simulation study, Alexander Pattyn, Yan Yan, Wayne State Univ. (USA); Mohammad Mehrmohammadi, Wayne State Univ. (USA) and Barbara Ann Karmanos Cancer Institute (USA) . . . . . . . . . . . . . . . . . . . . . .[10580-29]

11:30 am: Joint image reconstruction of initial pressure distribution and acoustic parameters in elastic media with application to transcranial photoacoustic tomography, Joemini Poudel, Thomas P. Matthews, Mark A. Anastasio, Washington Univ. in St. Louis (USA) . . . . . . . .[10580-30]

11:50 am: An advanced photoacoustic tomography system based on a ring geometry design, Suhail S. Alshahrani, Yan Yan, Wayne State Univ. (USA); Eugene Malyarenko, Barbara Ann Karmanos Cancer Institute (USA); Ivan Avrutsky, Wayne State Univ. (USA); Mark A. Anastasio, Washington Univ. in St. Louis (USA); Nebojsa Duric, Barbara Ann Karmanos Cancer Institute (USA); Mohammad Mehrmohammadi, Wayne State Univ. (USA) . . . . . . . . . . . . .[10580-31]

Lunch Break . . . . Thu 12:10 pm to 1:20 pm

SESSION 10ROOM: SALON A . . . . . . . . . . THU 10:10 AM

TO 12:10 PM

Intraoperative Imaging and Technologies

10:10 am: Trackerless image-guided surgical planning system design using a collaborative extension of 3D slicer, Xiaochen Yang, Rohan Vijayan, Ma Luo, Logan W. Clements, Reid C. Thompson, Benoit M. Dawant, Michael I. Miga, Vanderbilt Univ. (USA) . . . . . . . . .[10576-42]

10:30 am: Advanced image registration and reconstruction using the O-Arm system: dose reduction, image quality, and guidance using known-component models, Ali Uneri, Xiaoxuan Zhang, Joseph W. Stayman, Johns Hopkins Univ. (USA); Patrick Helm, Medtronic Navigation (USA); Greg M. Osgood, Nicholas Theodore, Johns Hopkins Medicine (USA); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . .[10576-43]

10:50 am: A system for automatic monitoring of surgical instruments and dynamic, non-rigid surface deformations in breast cancer surgery, Winona Richey, Ma Luo, Sarah E. Goodale, Logan W. Clements, Vanderbilt Univ. (USA); Ingrid M. Meszoely, Vanderbilt Univ. Medical Ctr. (USA); Michael I. Miga, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-44]

11:10 am: Intraoperative deformation during laryngoscopy of irradiated and non-irradiated patients, Xiaotian Wu, Thayer School of Engineering at Dartmouth (USA); Joseph Paydarfar, Dartmouth Hitchcock Medical Ctr. (USA) and Geisel School of Medicine (USA); Ryan Halter, Thayer School of Engineering at Dartmouth (USA) and Geisel School of Medicine (USA) . . . . . . . .[10576-45]

11:30 am: Design and validation of a large, open-source library of rigid-body markers for surgical navigation, Alisa J. V. Brown, Ali Uneri, Tharindu S. De Silva, Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-46]

SESSION 13ROOM: HUNTERS CREEK . . . THU 10:10 AM

TO 12:10 PM

Brain IISession Chairs: Axel Wismüller, Univ.

of Rochester Medical Ctr. (USA); Kenji Suzuki, Illinois Institute of

Technology (USA)

10:10 am: A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes, Daisuke Sato, Shouhei Hanaoka, Yukihiro Nomura, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe, The Univ. of Tokyo Hospital (Japan) . . . . . . . . . . . . . .[10575-60]

10:30 am: Artery and vein segmentation of the cerebral vasculature in 4D CT using a 3D fully convolutional neural network, Midas Meijs, Rashindra Manniesing, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . .[10575-61]

10:50 am: Detection of brain tumor margins using optical coherence tomography, Ronald Miguel Juarez Chambi, Texas A&M Univ. (USA); Carmen Kut, Johns Hopkins Univ. (USA); Jesus Rico-Jimenez, Univ. of Illinois (USA); Daniel U. Campos-Delgado, Univ. Autónoma de San Luis Potosí (Mexico); Alfredo Quinones-Hinojosa, Mayo Clinic (USA); Xingde Li, Johns Hopkins Univ. (USA); Javier A. Jo, Texas A&M Univ. (USA) . . . . . . . .[10575-62]

11:10 am: Classification of brain MRI with big data and deep 3D convolutional neural networks, Viktor Wegmayr, Sai Aitharaju, Joachim Buhmann, ETH Zurich (Switzerland) . . . . . . . . . . . . . . . .[10575-63]

11:30 am: A regional saliency map-driven hybrid deep learning network for anomaly segmentation, Tanveer F. Syeda-Mahmood, IBM Research - Almaden (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-64]

SESSION 13ROOM: SALON C . . . . . . . . . . THU 10:10 AM

TO 12:10 PM

Cardiothoracic

Session Chairs: Adam M. Alessio, Univ. of Washington (USA); Michael Grass, Philips Research (Germany)

10:10 am: Realistic lesion simulation: application of elastostatic deformation to lesion-local environment in lung CT, Thomas J. Sauer, Jocelyn Hoye, Justin B. Solomon, Ehsan Samei, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-65]

10:30 am: CT investigation of patient-specific phantoms with coronary artery disease, Lauren M. Shepard, Kelsey N. Sommer, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Erin Angel, Toshiba America Medical Systems, Inc. (USA); Vijay Iyer, Michael F. Wilson, Univ. at Buffalo (USA); Frank J. Rybicki, Ottawa Hospital Research Institute (Canada) and Univ. of Ottawa (Canada); Dimitrios Mitsouras, Ottawa Hospital Research Institute (Canada) and Brigham and Women’s Hospital (USA); Sabee Molloi, Univ. of California, Irvine (USA); Ciprian N. Ionita, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-66]

10:50 am: Evaluation of radiation dose reduction via myocardial frame reduction in dynamic cardiac CT for perfusion quantitation, Michael D. Bindschadler, Kelley R. Branch, Adam M. Alessio, Univ. of Washington (USA) . . . . . . . . . . . .[10573-67]

11:10 am: Stack transition artifact removal (STAR) for cardiac CT, Sergej Lebedev, Deutsches Krebsforschungszentrum (Germany); Karl Stierstorfer, Siemens Healthineers (Germany); Marc Kachelriess, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . . .[10573-68]

11:30 am: Serial assessment of CT coronary calcifications for regression/progression analysis, David L. Wilson, Di Wen, Brendan Eck, Jerry Lipinski, Jacob Levi, Robert C. Gilkeson, Christopher Longenecker, Case Western Reserve Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-69]





Tues.–Fri. 13–16 Feb. 2018









SESSION 13 CONTINUEDROOM: SALON C . . . . . . . . . . THU 10:10 AM

TO 12:10 PM

11:50 am: Bias and variability in morphology features of lung lesions across CT imaging conditions, Jocelyn Hoye, Justin B. Solomon, Thomas J. Sauer, Marthony Robins, Ehsan Samei, Duke Univ. Medical Ctr. (USA) . . . . . . . . . . . .[10573-70]


SESSION 13 CONTINUEDROOM: HUNTERS CREEK . . . THU 10:10 AM

TO 12:10 PM

11:50 am: Radiation-free quantification of head malformations in craniosynostosis patients from 3D photography, Liyun Tu, Antonio R. Porras, Albert Oh, Children’s National Health System (USA); Natasha Lepore, Children’s Hospital Los Angeles (USA) and The Univ. of Southern California (UK); Manuel Mastromanolis, Deki Tsering, Children’s National Health System (USA); Beatriz Paniagua, Andinet Enquobahrie, Kitware, Inc. (USA); Robert Keating, Children’s National Health System (USA); Gary F. Rogers, Children’s National Medical Ctr. (USA); Marius George Linguraru, Children’s National Helath System (USA) and The George Washington Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-65]

Award AnnouncementsROOM: SALON C . . . .12:10 TO 12:15 PM

The Computer-Aided Diagnosis conference RFW runner ups and poster award recipients will be recognized and



SESSION 10 CONTINUEDROOM: SALON A . . . . . . . . . . THU 10:10 AM

TO 12:10 PM

11:50 am: A novel small field of view hybrid gamma camera for scintigraphic imaging, Mohammed S. Alqahtani, John E. Lees, Sarah L. Bugby, Layal K. Jambi, Univ. of Leicester (UK); Aik H. Ng, The Univ. of Nottingham (UK); Bahadar S. Bhatia, Numan S. Dawood, Awad M. Almarhaby, William R. McKnight, Univ. of Leicester (UK); Alan C. Perkins, The Univ. of Nottingham (UK) . . . . . . . . . . . . .[10576-47]


Fight Bias, Embrace DiversitySPIE seeks to cultivate a culture of openness and inclusivity. Help us eradicate bias and make the world of optics and photonics a shining example of all minds coming together to innovate regardless of gender, race, nationality, culture, educational background, politics, sexuality, body-type and age, for the betterment of life.

Educate yourself on the issues faced by a diverse workforce, challenge your own assumptions, and tap into the rich pool of talent, perspectives, and ideas offered by people different from you.





Tues.–Fri. 13–16 Feb. 2018









SESSION 14ROOM: HUNTERS CREEK . . . . . THU 1:20 TO

3:00 PM

Other OrgansSession Chairs: Marius George Linguraru, Children’s National

Medical Ctr. (USA); Ronald M. Summers M.D., National

Institutes of Health (USA)

1:20 pm: Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network, Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Alon Z. Weizer, Ajjai Alva, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-66]

1:40 pm: Automated detection and segmentation of follicles in 3D ultrasound for assisted reproduction, Nikhil Narayan Subbarao, Srinivasan Sivanandan, Srinivas Rao Kudavelly, Kedar A. Patwardhan, Samsung R&D Institute India - Bangalore (India); G. A. Rama Raju, Krishna IVF Clinic (India) . . . . . . .[10575-67]

2:00 pm: Comparison of machine learned approaches for thyroid nodule characterization from shear wave elastography images, Carina Pereira, Manjiri K. Dighe, Adam M. Alessio, Univ. of Washington (USA) . . . . . . . . . . . .[10575-68]

2:20 pm: Bladder cancer treatment response assessment with radiomic, clinical and radiologist semantic features, Marshall N. Gordon, Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer, Univ. of Michigan (USA) .[10575-69]

2:40 pm: Automatic detection of kidney in 3D pediatric ultrasound images using deep neural networks, Pooneh Roshanitabrizi, Awais Mansoor, Elijah Biggs, Children’s National Medical Ctr. (USA); James Jago, Phillips Healthcare (USA); Marius George Linguraru, Children’s National Medical Ctr. (USA) . . . . .[10575-70]

Coffee Break . . . . . Thu 3:00 pm to 3:30 pm

SESSION 11ROOM: SALON A . . . . THU 1:20 TO 3:00 PM

Abdominal Imaging and Guidance Technologies

1:20 pm: Needle deflection in thermal ablation procedures of liver tumors: a CT image analysis, Tonke L. de Jong, Technische Univ. Delft (Netherlands); S.J.C. Klink, Adriaan Moelker, Erasmus MC (Netherlands); Jenny Dankelman, John J. van den Dobbelsteen, Technische Univ. Delft (Netherlands) . . . . . . . . . . . .[10576-48]

1:40 pm: Atomic force stiffness imaging: capturing differences in mechanical properties to identify and localize areas of prostate cancer tissue, Danail Stoyanov, Clara Essmann, Vijay Pawar, Alex Freeman, Univ. College London (UK) . . . . . . . . . . . . . . . .[10576-49]

2:00 pm: Automatic definition of surgical trajectories and acceptance windows in pelvis trauma surgery using deformable registration, Runze Han, The Johns Hopkins Univ. School of Medicine (USA); Benjamin Ramsay, Tharindu S. De Silva, Joseph Goerres, Ali Uneri, Michael D. Ketcha, Matthew W. Jacobson, Niral Sheth, Johns Hopkins Univ. (USA); Sebastian Vogt, Gerhard Kleinszig, Siemens Healthineers (Germany); Greg M. Osgood, The Johns Hopkins Hospital (USA); Jeffery H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10576-50]

2:20 pm: Intra-operative 360° 3D transvaginal ultrasound guidance during high-dose-rate interstitial gynecologic brachytherapy needle placement, Jessica R. Rodgers, Western Univ. (Canada); Jeffrey S. Bax, Robarts Research Institute (Canada); Vikram Velker, Kathleen Surry, David D’Souza, London Regional Cancer Program (Canada); Eric Leung, Odette Cancer Ctr. (Canada); Aaron Fenster, Robarts Research Institute (Canada) . . . . . . . . . . . . . . . . . . .[10576-51]

SESSION 7ROOM: SALON B . . . . THU 1:20 TO 3:00 PM

Innovations in Imaging Informataics

Session Chair: Thomas M. Deserno, Technische Univ. Braunschweig

(Germany)

1:20 pm: On the accuracy of low-cost motion capture systems for range of motion measurements, Kevin Yu, Roghayeh Barmaki, Mathias Unberath, Johns Hopkins Univ. (USA); Albert Mears M.D., Joseph Brey M.D., Tae H. Chung, The Johns Hopkins Hospital (USA); Nassir Navab, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10579-31]

1:40 pm: Radiology metrics for safe use and regulatory compliance with CT imaging, Robert Paden, William Pavlicek, Mayo Clinic Arizona (USA). . . . . .[10579-32]

2:00 pm: Molecular imaging and validation of non-melanoma skin cancer margins, Yiqiao Liu, Ethan Walker, Case Western Reserve Univ. (USA); InYoung Kim, Louis Stokes Cleveland Veterans Affairs Medical Ctr. (USA); Daniel Popkin, Louis Stokes Cleveland Veterans Affairs Medical Ctr. (USA) and Case Western Reserve Univ. (USA); Bo Zhou, Case Western Reserve Univ. (USA); Matthew Bogyo, Stanford Univ. Medical Ctr. (USA) and Stanford Univ. (USA); James Basilion, Case Western Reserve Univ. (USA) and National Foundation for Cancer Research (USA); David Wilson, Case Western Reserve Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10579-33]

2:20 pm: Does transitioning from computed radiography (CR) to direct radiography (DR) with portable imaging systems affect workflow efficiency?, Raja Gali, Thomas Jefferson Univ. (USA); Christopher Roth, Elizabeth Smith, Jaydev K. Dave, Thomas Jefferson Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10579-34]

SESSION 7ROOM: MONTROSE . . . . . . . . THU 1:20 PM

TO 3:00 PM

Ultrasound Tomography III1:20 pm: Sensitivity of quantitative transmission ultrasound to detection of microcalcifications, Bilal H. Malik, Alyson Terry, Mark Lenox, QT Ultrasound LLC (USA) . . . . . . . . . . . . . . . . . . . . . .[10580-32]

1:40 pm: Breast tissue characterization with sound speed and tissue stiffness imaging, Cuiping Li, Gursharan Y. S. Sandhu, Michael Boone, Neb Duric, Peter Littrup, Kenneth Bergman, Delphinus Medical Technologies, Inc. (USA) [10580-33]

2:00 pm: Ultrasound tomography supervised machine learning, Gursharan Y. S. Sandhu, Peter Littrup, Mark A. Sak, Delphinus Medical Technologies, Inc. (USA); Cuiping Li, Neb Duric, Delphinus Medical Technologies, Inc. (USA) and Wayne State Univ. (USA) . . . . . . .[10580-34]

2:20 pm: Volumetric breast density comparisons between waveform UST sound speed imaging and mammography, Mark A. Sak, Neb Duric, Peter Littrup, Delphinus Medical Technologies, Inc. (USA) . . . . . . .[10580-35]

2:40 pm: Ultrasound tomography for breast cancer screening, Neb Duric, Peter Littrup, Mark A. Sak, Gursharan Y. S. Sandhu, Cuiping Li, Delphinus Medical Technologies, Inc. (USA) . . . . . . .[10580-36]



SESSION 14ROOM: SALON C . . . . THU 1:20 TO 3:00 PM

Phase Contrast ImagingSession Chairs: Mini Das, Univ. of Houston (USA); Jinyi Qi, Univ. of

California, Davis (USA)1:20 pm: Monochromatic breast-CT: absorption and phase-retrieved images, Luca Brombal, Univ. degli Studi di Trieste (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Bruno Golosio, Univ. degli Studi di Cagliari (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Fulvia Arfelli, Univ. degli Studi di Trieste (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Deborah Bonazza, Cattinara Hospital (Italy) and Univ. degli Studi di Trieste (Italy); Adriano Contillo, Univ. degli Studi di Ferrara (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Pasquale Delogu, Univ. degli Studi di Siena (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Sandro Donato, Univ. degli Studi di Trieste (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Diego Dreossi, Elettra-Sincrotrone Trieste S.C.p.A. (Italy); Giovanni Mettivier, Univ. degli Studi di Napoli Federico II (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Piernicola Oliva, Univ. degli Studi di Sassari (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Luigi Rigon, Univ. degli Studi di Trieste (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Angelo Taibi, Univ. degli Studi di Ferrara (Italy) and Istituto Nazionale di Fisica Nucleare (Italy); Giuliana Tromba, Elettra-Sincrotrone Trieste S.C.p.A. (Italy); Fabrizio Zanconati, Cattinara Hospital (Italy) and Univ. degli Studi di Trieste (Italy); Renata Longo, Univ. degli Studi di Trieste (Italy) and Istituto Nazionale di Fisica Nucleare (Italy) . . . . . . . . [10573-71]

1:40 pm: Towards a dual phase grating interferometer on clinical hardware, Johannes Bopp, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Veronika Ludwig, Michael Gallersdörfer, Erlangen Ctr. for Astroparticle Physics, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Maria Seifert, Erlangen Ctr. for Astroparticle Physics, Friedrich-Alexander-Univ Erlangen-Nürnberg (Germany); Georg Pelzer, Erlangen Ctr. for Astroparticle Physics, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Andreas Maier, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Gisela Anton, Erlangen Ctr. for Astroparticle Physics, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Christian Riess, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany) . . . . . . . . . . . . . . . . . . . . [10573-724




Tues.–Fri. 13–16 Feb. 2018









SESSION 11 CONTINUIEDROOM: SALON A . . . . THU 1:20 TO 3:00 PM

2:40 pm: Ring navigation: an ultrasound-guided technique using real-time motion compensation for prostate biopsies, Derek J. Gillies, Lori Gardi, David Tessier, Robarts Research Institute (Canada) and Western Univ. (Canada); Ashley Mercado, St. Joseph’s Health Care London (Canada); Shuang-ren Zhao, Ctr. for Imaging Technology Commercialization (Canada); Aaron Fenster, Robarts Research Institute (Canada) and Ctr. for Imaging Technology Commercialization (Canada) and Western Univ. (Canada) . . . . . . . . . . . . . . .[10576-52]

Award AnnouncementsROOM: RIVER OAKS . . 3:00 TO 3:05 PM

The Image-Guided Procedures, Robotic Interventions. and Modeling RFW

runners up, Young Scientist, and poster presentation award recipients will be

recognized and certificates distributed.


SESSION 7 CONTINUEDROOM: SALON B . . . . THU 1:20 TO 3:00 PM

2:40 pm: The development of an ophthalmologic imaging CADe structured report for retinal image radiomics research, Huiqun Wu, Nantong Univ. (China); Joseph Liu, Siliang Zhang, Alyssa Zhu, Christopher Sulistio, The Univ. of Southern California (USA); Jingjing Li, Aiming Sang, Jiancheng Dong, Nantong Univ. (China); Brent J. Liu, The Univ. of Southern California (USA) . . . . . .[10579-35]



SESSION 14 CONTINUEDROOM: SALON C . . . . THU 1:20 TO 3:00 PM

2:00 pm: Joint-reconstruction-enabled data acquisition designs for single-shot edge-illumination x-ray phase-contrast tomography, Yujia Chen, Weimin Zhou, Washington Univ. in St. Louis (USA); Charlotte K. Hagen, Alessandro Olivo, Univ. College London (UK); Mark A. Anastasio, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-73]

2:20 pm: Two-dimensional quadratic grating for far-field phase contrast x-ray interferometry, Joyoni Dey, Narayan Bhusal, Leslie Butler, Kyungmin Ham, Louisiana State Univ. (USA) . . . .[10573-74]

2:40 pm: Examining phase contrast degradation with signal location and tissue thickness in breast imaging, Stefano Vespucci, Cale Lewis, Chan-Soo Park, Mini Das, Univ. of Houston (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-75]





Tues.–Fri. 13–16 Feb. 2018









SESSION 8ROOM: HUNTER’S CREEK . . . THU 3:30 PM

TO 5:30 PM

Quantitative Ultrasound and Registration

3:30 pm: Echographic measurement method of time-varying wall shear stress distribution for early arteriosclerosis detection, Motochika Shimizu, Tomohiko Tanaka, Takashi Okada, Yoshinori Seki, Tomohide Nishiyama, Hitachi, Ltd. (Japan) . . . . . . . . . . . . . . . . . . . . .[10580-37]

3:50 pm: Iterative speed of sound reconstruction method for HIFU ultrasound thermometry, Younsu Kim, Chloé Audigier, Nicholas Ellens, Emad M. Boctor, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10580-38]

4:10 pm: K-means clustering for high-resolution acoustic maps from MR volumes, Kevin Looby, Stanford Univ. (USA); Jeremy Dahl, Stanford Univ. School of Medicine (USA) . . . . . . . . . . . .[10580-39]

4:30 pm: Comparison of two approaches for attenuation imaging using the spectral log difference method: regularized inversion versus image filtering, Andres Coila, Roberto J. Lavarello Montero, Pontificia Univ. Católica del Perú (Peru) . . . . . . . . . . . . . . . . . . . . . .[10580-40]

4:50 pm: Spectral analysis of ultrasound radiofrequency backscatter for the identification of five tissue types found in and around the paravertebral space, Asher Haggard, Jon D. Klingensmith, Southern Illinois Univ. Edwardsville (USA); Russell J. Fedewa, Hesham Elsharkawy, Kenneth Cummings, Sean DeGrande, The Cleveland Clinic Foundation (USA); Geoffrey Vince, The Cleveland Clinic (USA) . . . . . . . . . . . . . . . . . . . . . .[10580-41]

5:10 pm: Automated registration and stitching of multiple 3D ultrasound images for monitoring neonatal intraventricular hemorrhage, Andrew Harris, Robarts Research Institute (Canada); Sandrine de Ribaupierre, Western Univ. (Canada); Lori Gardi, Aaron Fenster, Jessica Kishimoto, Robarts Research Institute (Canada) . . . . . . . . . . . .[10580-42]

SESSION 8ROOM: SALON B . . . . .THU 3:30 TO 5:10 PM

Machine Learning and Translations Research

Session Chair: Po-Hao Chen, The Univ. of Pennsylvania Health

System (USA)

3:30 pm: Evaluation of the impact of deep learning architectural components selection and dataset size on a medical imaging task, Sandeep Dutta, Eric Gros, GE Healthcare (USA) . . . . . . . . . .[10579-36]

3:50 pm: Apply lightweight deep learning on internet of things for low-cost and easy-to-access skin cancer detection, Pranjal Sahu, Hong Qin, Stony Brook Univ. (USA); Dantong Yu, New Jersey Institute of Technology (USA) . . . . . . . . . . . .[10579-37]

4:10 pm: The application of deep learning for diabetic retinopathy prescreening in research eye-PACS, Siliang Zhang, Image Processing & Informatics Lab. (USA); Huiqun Wu, Nantong Univ. (China); Veda Murthy, Ximing Wang, Lin Cao, John Schwartz, Jorge Hernandez, Gustavo Rodriguez, Brent J. Liu, The Univ. of Southern California (USA) . . . . . .[10579-38]

4:30 pm: Deep learning for medical image segmentation using the IBM TrueNorth Neurosynaptic System, Steven Moran, Ctr. for Heterogeneous Integration and Performance Scaling (USA) and Univ. of California, Los Angeles (USA); Bilwaj Gaonkar, Univ. of California, Los Angeles (USA); William Whitehead, Aidan Wolk, Ctr. for Heterogeneous Integration and Performance Scaling (USA) and Univ. of California, Los Angeles (USA); Luke Macyszyn, Univ. of California, Los Angeles (USA); Subramanian S. Iyer, Ctr. for Heterogeneous Integration and Performance Scaling (USA) and Univ. of California, Los Angeles (USA) . . .[10579-39]

4:50 pm: Hand hygiene monitoring based on segmentation of interacting hands with convolutional networks, Armin Dietz, Andreas Pösch, Eduard Reithmeier, Leibniz Univ. Hannover (Germany) . . . . .[10579-40]

SESSION 12ROOM: SALON A . . . . .THU 3:30 TO 5:10 PM

Validation, Simulation, and 3D Printing

3:30 pm: Validation of cochlear implant electrode localization techniques, Yiyuan Zhao, Vanderbilt Univ. (USA); Robert F. Labadie, Vanderbilt Univ. Medical Ctr. (USA); Benoit M. Dawant, Jack H. Noble Sr., Vanderbilt Univ. (USA) . . . . .[10576-53]

3:50 pm: PedBot: robotically assisted ankle robot and video game for children with neuromuscular disorders, Reza Monfaredi, Hadi Fooladi, Pooneh Roshani, Staci Kovelman, Tyler Salvador, Catherine Coley, Sara Alyamani, Paola Pergami, Sally Evans, Kevin Cleary, Children’s National Medical Ctr. (USA) . . . . . . . . . . . .[10576-54]

4:10 pm: A mold design for creating low-cost, patient specific models with complex anatomy, Reid Vassallo, Western Univ. (Canada) and Robarts Research Institute (Canada); John Moore, Robarts Research Institute (Canada); Daniel Bainbridge, London Health Sciences Ctr. (Canada); Terry Peters, Western Univ. (Canada) and Robarts Research Institute (Canada) . . . . . . . . . . . . . . . . . . .[10576-55]

4:30 pm: 3D tissue mimicking biophantoms for ultrasound imaging: bioprinting and image analysis, Ajay Rajaram, Queen’s Univ. (Canada); Shekoofeh Azizi, Sharareh Bayat, Emran M. A. Anas, The Univ. of British Columbia (Canada); Tamer Mohamed, Aspect Biosystems Ltd. (Canada); Konrad Walus, Purang Abolmaesumi, The Univ. of British Columbia (Canada); Parvin Mousavi, Queen’s Univ. (Canada) . . . . . . . .[10576-56]

4:50 pm: Using water-soluble additive manufacturing for cheap and soft silicon organ models, Daniel Reichard, Markus Gern, Karlsruher Institut für Technologie (Germany); Hannes Kenngott, UniversitätsKlinikum Heidelberg (Germany); Beat Müller-Stich, Ruprecht-Karls-Univ. Heidelberg (Germany); Christian Pylatiuk, Karlsruher Institut für Technologie (Germany); Sebastian Bodenstedt, National Ctr. for Tumor Diseases Dresden (Germany); Rüdiger Dillmann, Karlsruher Institut für Technologie (Germany); Stefanie Speidel, National Ctr. for Tumor Diseases Dresden (Germany) . . . . . . . . . . .[10576-57]

SESSION 15ROOM: HUNTERS CREEK . .THU 3:30 PM TO

5:30 PM

Breast IISession Chairs: Nico Karssemeijer,

Radboud Univ. Medical Ctr. (Netherlands); Maciej A. Mazurowski,

Duke Univ. (USA)

3:30 pm: Generalization error analysis: deep convolutional neural network in mammography, Caleb Richter, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-71]

3:50 pm: Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-72]

4:10 pm: ICADx: interpretable computer aided diagnosis of breast masses, Seong Tae Kim, Hakmin Lee, Hak Gu Kim, Yong Man Ro, KAIST (Korea, Republic of) . . . . . . . . . . . . . . . . .[10575-73]

4:30 pm: Do pre-trained deep learning models improve computer-aided classification of digital mammograms?, Sarah Aboutalib, Aly Mohamed, Univ. of Pittsburgh (USA); Margarita Zuley, Univ. of Pittsburgh Medical Ctr. (USA); Wendie Berg, Shandong Wu, Univ. of Pittsburgh (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-74]

4:50 pm: Fully automated gynecomastia quantification from low-dose chest CT, Shuang Liu, Cornell Univ. (USA); Emily B. Sonnenblick, Lea Azour, David F. Yankelevitz, Claudia I. Henschke, Icahn School of Medicine at Mount Sinai (USA); Anthony P. Reeves, Cornell Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-75]

5:10 pm: Breast mass detection in mammography and tomosynthesis via fully convolutional network based heatmap regression, Jun Zhang, Elizabeth Hope Cain, Ashirbani Saha, Zhe Zhu, Maciej A/ Mazurowski, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10575-76]

SESSION 15ROOM: SALON C . . . . THU 3:30 TO 5:30 PM

Image ReconstructionSession Chairs: Yuxiang

Xing, Tsinghua Univ. (China); Marc Kachelriess, Deutsches

Krebsforschungszentrum (Germany)

3:30 pm: Fast low-dose compressed-sensing (CS) image reconstruction in four-dimensional digital tomosynthesis using on-board imager (OBI), Sunghoon Choi, Yonsei Univ. (Korea, Republic of); Scott S. Hsieh, Univ. of California, Los Angeles (USA); Chang-Woo Seo, Hee-Joung Kim, Yonsei Univ. (Korea, Republic of) . . . . . . . .[10573-76]

3:50 pm: Organ-specific context-sensitive CT image reconstruction and display, Sabrina Dorn, Deutsches Krebsforschungszentrum (Germany); Shuqing Chen, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Stefan Sawall, David Simons, Deutsches Krebsforschungszentrum (Germany); Matthias May, Universitätsklinikum Erlangen (Germany); Heinz-Peter Schlemmer, Deutsches Krebsforschungszentrum (Germany); Andreas Maier, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Michael Lell, Klinikum Nürnberg (Germany) and Paracelsus Medizinische Privatuniversität (Germany); Marc Kachelriess, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . . . . . .[10573-77]

4:10 pm: Sensitivity and specificity of a sparse reconstruction algorithm for superparamagnetic relaxometry, Sara L. Thrower, David T. Fuentes, Wolfgang Stefan, Javad Sovizi, Kelsey B. Mathieu, John D. Hazle, The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . .[10573-78]

4:30 pm: Content-oriented sparse representation (CSR) denoising in CT images, Huiqiao Xie, Nadja Kadom, Xiangyang Tang, Emory Univ. School of Medicine (USA) . . . . . . . . . . . . . .[10573-79]

4:50 pm: Prospective image quality analysis and control for prior-image-based reconstruction of low-dose CT, Hao Zhang, Grace J. Gang, Hao Dang, Jeffrey H. Siewerdsen, Marc Sussman, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-80]

5:10 pm: Data-efficient methods for multi-channel x-ray CT reconstruction, Darin P. Clark, Duke Univ. Medical Ctr. (USA); Cristian T. Badea, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . .[10573-81]

CONFERENCE 10573 ENDS CONFERENCE 10575 ENDS CONFERENCE 10576 ENDS CONFERENCE 10579 ENDS CONFERENCE 10580 ENDS

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Conference Attendees: You may purchase additional online collections for $175 each or additional online proceedings volumes for $60 each. Print conference proceedings volumes are also available; see pricing at right.

PR 10573 DL 10573 Medical Imaging 2018: Physics of Medical Imaging $221.25Joseph Y. Lo, Taly Gilat Schmidt, Guang-Hong Chen

PR 10574 DL 10574 Medical Imaging 2018: Image Processing $172.50Elsa D. Angelini, Bennett A. Landman

PR 10575 DL 10575 Medical Imaging 2018: Computer-Aided Diagnosis $157.50Nicholas Petrick, Kensaku Mori

PR 10576 DL 10576 Medical Imaging 2018: Image-Guided Procedures, $123.75 Robotic Interventions, and ModelingBaowei Fei, Robert J. Webster

PR 10577 DL 10577 Medical Imaging 2018: Image Perception, Observer $67.50 Performance, and Technology AssessmentRobert M. Nishikawa, Frank W. Samuelson

PR 10578 DL 10578 Medical Imaging 2018: Biomedical Applications in $120.00 Molecular, Structural, and Functional ImagingBarjor Gimi, Andrzej Krol

PR 10579 DL 10579 Medical Imaging 2018: Imaging Informatics for $90.00 Healthcare, Research, and ApplicationsJianguo Zhang, Po-Hao Chen

PR 10580 DL 10580 Medical Imaging 2018: Ultrasonic Imaging and $67.50 TomographyNeb Duric, Brett C. Byram

PR 10581 DL 10581 Medical Imaging 2018: Digital Pathology $78.75John E. Tomaszewski, Metin N. Gurcan

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DLC688 SPIE: Medical Imaging 2018 $175.00 Volumes # 10573, 10574, 10575, 10576, 10577, 10578, 10579, 10580, 10581, 10582

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Handbook of Optical Biomedical Diagnostics, 2nd Edition: 2-Volume SetEditor: Valery V. TuchinPrint: $181.05 / $213.00 eBook: $154.70 / $182.00 PM264

Browse these books and more online or visit the onsite bookstore

Publications

Electronic Imaging Applications in Mobile HealthcareEditors: Sos S. Agaian, Jinshan Tang, and Jindong TanPrint: $62.90 / $74.00 eBook: $53.55 / $63.00 PM261

Tissue Optics, Light Scattering Methods and Instruments for Medical Diagnostics, 3rd EditionValery V. TuchinPrint: $109.65 / $129.00 eBook: $93.50 / $110.00 PM254

Computed Tomography: Principles, Design, Artifacts, and Recent Advances, 3rd EditionJiang HsiehPrint: $96.05 / $113.00 eBook: $81.60 / $96.00 PM259

In Vivo Microscopy in the Male and Female Genital TractSabine Koelle and Matthias Trottmann eBook: $24.80 / $31.00 SL19

Diagnosis of Oral Cancers: An Optical PerspectiveSurya Pratap Singh and Arja M. KullaaeBook: $24.80 / $31.00 SL11

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Visit the bookstore onsite or www.spie.org/books67Tel: +1 360 676 3290 • [email protected] • #SPIEMedicalImaging

Personal Instruction from Leading ExpertsSPIE Medical Imaging offers focused, face-to-face instruction from some of the leading minds in medical imaging research and applications.

Courses

CONTINUING EDUCATION UNITSSPIE is accredited by the International Association for Continuing Education and Training (IACET) and is authorized to issue the IACET CEU.

Earn Course Credits: SPIE has applied to CAMPEP for approval of 37.5 MPCEC hours for its courses at Medical Imaging 2018. If you attend one of our Medical Imaging courses and meet CAMPEP’s qualifications, you may apply for these credits at no charge. CAMPEP is a continuing professional education accreditation organization specific to the medical imaging community.

SATISFACTION GUARENTEED OR YOUR MONEY BACK.

SATURDAY SUNDAY MONDAY TUESDAY WEDNESDAY THURSDAYSC1235 DeepNEW

Learning for Image Understanding (Wenzel, Meine) 8:30 am to 5:30 pm, $520 / $610, p. 70

SC1184 Methodology for Measuring Dynamic Functional Connectivity in Neuroimaging Data Analysis (Lei) 8:30 am to 12:30 pm, $300 / $350, p. 70

SC086 Fundamentals of Medical Image Processing and Analysis (Deserno) 8:30 am to 5:30 pm, $520 / $610, p. 69

SC987 Spectral CT Imaging (Schmidt, Flohr, Grant) 8:30 am to 12:30 pm, $300 / $350, p. 72

SC1239 Virtual NEW Clinical Trials: An In-depth Tutorial (Maidment, Bakic, Barufaldi) 8:30 am to 12:30 pm, $300 / $350, p. 71

SC1183 Modern Diagnostic X-ray Sources (Behling) 1:30 pm to 5:30 pm, $430 / $480, p. 69

WS776 Writing for Publication (Hanson) 1:30 pm to 5:30 pm, $60 / $110, p. 72

SC1129 Photon Counting CT (Danielsson, Sjölin) 1:30 pm to 5:30 pm, $300 / $350, p. 69

SC1236 NEW SimpleITK Jupyter Notebooks: Biomedical Image Analysis in Python (Johnson, Lowekamp, Yaniv) 1:30 pm to 5:30 pm, $300 / $350, p. 71


Personal Instruction from Leading ExpertsSPIE Medical Imaging offers focused, face-to-face instruction from some of the leading minds in medical imaging research and applications.

CoursesFundamentals of Medical Image Processing and AnalysisSC086 • Course Level: Intermediate • CEU: 0.7 $520 SPIE Members • $274 SPIE Student Members $610 Non-Members USD Saturday 8:30 am to 5:30 pmThis course is also available in online format.

This course gives an overview of medical image formation, en-hancement, analysis, visualization, and communication with many examples from medical applications. It starts with a brief introduc-tion to medical imaging modalities and acquisition systems. Basic approaches to display one-, two-, and three-dimensional (3D) biomedical data are introduced. As a focus, image enhancement techniques, segmentation, texture analysis and their application in diagnostic imaging will be discussed. To complete this overview, storage, retrieval, and communication of medical images are also introduced.

In addition to this theoretical background, a 45 min practical demon-stration with ImageJ is given. ImageJ is a Java-based platform for medical image enhancement and visualization. It is developed by the National Institutes of Health, USA, open source and freely avail-able in the public domain. For this course, ImageJ is appropriately configured with useful plug-ins (e.g. DICOM import, 3D rendering) and distributed on CD-ROM. Attendees are welcome to perform on their own laptop computers.

LEARNING OUTCOMESThis course will enable you to:• identify major processes involved in formation of medical

images• recognize the imaging modality from their visualization• classify the various medical image processing algorithms• describe fundamental methods of image enhancement• enhance medical images using appropriate software• visualize all types of medical image data• appraise efficacy and drawbacks of several techniques of

image segmentation• get familiar with the fundamental concepts of texture analysis• explain the basic principles of medical image communication• get started with ImageJ and self-perform fundamentals of

medical image processing

INTENDED AUDIENCEEngineers, scientists, biomedical researchers and managers who need a basic understanding of medical image processing technol-ogies and methods. Some prior background with image processing and computer technology will be helpful.

INSTRUCTORThomas Deserno (né Lehmann), PhD, is full professor of Medi-cal Informatics at RWTH Aachen University, Germany, where he heads the Division of Image and Data Management. He lectures graduate courses on biomedical imaging and image processing, co-authored the text Image Processing for the Medical Sciences

(1997), and edited the Handbook of Medical Informatics (2005) and Biomedical Image Processing (2011). His research interests include discrete realizations of continuous image transforms, medical image processing applied to quantitative measurements for computer-assisted diagnoses, and content-based image re-trieval from large medical databases. He has authored over 100 scientific publications, is Senior Member of IEEE and SPIE and a member of IADMFR, serves on the International Editorial Boards of Dentomaxillofacial Radiology, Methods of Information in Medicine, World Journal of Radiology, and The Scientific World Journal, and he is Co-editor Europe of the International Journal of Healthcare Information Systems and Informatics.

Attendee testimonial:Very good overview of the subject with good references for follow-up study of the topic.

Photon Counting CTSC 1129 • Course Level: Introductory • CEU: 0.4 $300 SPIE Members • $170 SPIE Student Members $350 Non-Members USD Sunday 1:30 pm to 5:30 pm

This course explains the principles of photon counting detectors for spectral x-ray imaging. Typical technical implementations are de-scribed and fundamental differences to energy integrating systems are pointed out. In particular, the issues of high-rate handling and the effect of detector cross talk on energy resolution are described. Requirements on electronics for spectral imaging in computed tomography is also discussed.

A second objective of the course is to describe how energy sensitive counting detectors make use of the energy sampling of the linear attenuation coefficients of the background and target materials for any given imaging task; methods like material basis decomposition and optimal energy weighting will be explained.

The second objective highlights the interesting fact that while the spatial-frequency descriptor of signal-to-noise-ratio transfer (DQE) of a system gives a complete characterization of performance for energy integrating (and pure photon counting) systems, it fails to characterize multibin systems since a complete description of the transfer characteristics requires specification of how the information of each energy bin is handled. The latter is in turn dependent on the imaging case at hand which shows that there is no such thing as an imaging case independent system DQE for photon counting multibin systems. We also suggest how this issue could be resolved.

LEARNING OUTCOMESThis course will enable you to:• describe the fundamental operating principles of photon

counting detectors for spectral x-ray imaging• distinguish between the proposed detector materials in terms

of their main physical limitations/challenges to high-rate energy resolved photon counting

• list essential requirements on read-out electronics and predict effect on image quality if not fulfilled

• explain the physical origin of pile-up and separate between the

effects of decreased energy resolution and loss of counts• explain the physical origins of cross-talk and how it degrades

performance, both in terms of resolution and noise• compute optimal weights for the energy bins• illustrate how poor choice of weights results in inferior image

quality• perform material basis decomposition and explain why noise in

decomposed images is a poor figure-of-merit• distinguish between system DQE and task dependent DQE and

suggest solutions to allow comparison at system level between multibin energy resolved systems and other solutions

INTENDED AUDIENCEScientists, engineers, or managers who wish to learn more about basic strengths and challenges of photon counting detectors for spectral x-ray imaging, how the data is treated and how perfor-mance can be quantified.

INSTRUCTORMats Danielsson has been developing photon counting x-ray detectors for medical imaging for 15 years and his research has resulted in detector systems in worldwide clinical use. He received his Ph.D. in experimental physics in 1996 based on work at CERN, Geneva and later did his postdoc at Lawrence Berkeley National Laboratory. In 2006 he was appointed Professor at KTH Royal Institute of Technology in Stockholm, Sweden, where he heads the physics of medical imaging research group. Dr. Danielsson is a lifetime member of SPIE.

Martin Sjölin has worked with the development of photon-count-ing spectral x-ray detectors since 2011. He has worked on several topics related to photon-counting spectral detectors, including: energy calibration, geometric calibration, count-rate performance, sampling and digital data compression. Martin received his PhD from KTH Royal Institute of Technology, Sweden, in 2016 with the thesis “Methods of image acquisition and calibration for x-ray computed tomography”. His current research is focused on the design and development of spectral photon-counting detectors suitable for clinical CT.

Modern Diagnostic X-ray SourcesSC 11 83 • Course Level: Introductory • CEU: 0.4 $430 SPIE Members • $222 SPIE Student Members $480 Non-Members USD Sunday 1:30 pm to 5:30 pm

During recent decades, in particular since the advent of computed tomography and the increasing use of interventional X-ray systems, progress in the development of sophisticated diagnostic X-ray sources has been tremendous. X-ray scientists and clinicians may want to improve their background knowledge about technology, application, features, potential hazards and diagnostic opportu-nities in practice.

Medical physicists are often struggling with unexpected side effects. This lecture will provide a sound basis for understanding the physics of production of “clinical” X-rays for diagnostics and briefly touch


therapeutic use. It will treat functional principles of X-ray sources including high voltage supply. Design aspects, special features, ra-diation protection, and modern performance metric, manufacturing technology, and cost aspects will be discussed. Why is vacuum technology not at all outdated? Will we find the X-ray LED, compact X-ray Lasers or flat panel sources in medical imaging soon? Why do hundreds of tube types populate the market? The lecture will cover system performance aspects related to the source, material boundary conditions, and manufacturing technology.

The quest for affordable healthcare demands for trade-offs between value and cost, and objective comparison of tube types. Initial costs and costs of tube replacement will be discussed as well as means to extend tube life and to save natural resources. Last but not least, the lecture may spark fascination for this species of off-the-mainstream vacuum electronics light sources.

LEARNING OUTCOMESThis course will enable you to:• summarize the milestones of development of X-ray tubes• classify X-ray tubes by their basic technology and explain pro’s

and con’s• describe key components of X-ray tubes like bearings,

cathodes, vacuum frame, and housing• explain methods for heat management• recognzie side-effects like vacuum discharges and off-focal

radiation and identify remedies• summarize the peculiarities of bremsstrahlung from the various

types of X-ray tubes• explain the benefits of reflection targets for imaging• predict the X-ray tube performance in an X-ray system using

documented metrics• analyze X-ray tubes by their initial and service costs in an

imaging system• predict the impact of the X-ray tube design on the clinical

work-flow• name the implemented measures for protection against

hazards of ionizing radiation• apply modern metric in the comparison and decision making

process

INTENDED AUDIENCEMedical X-ray researchers, X-ray physicists, medical physicists, radiologists, cardiologists and other surgeons with interest in X-ray diagnostics and interventional X-ray application, students of engi-neering, radiology and physics, X-ray system and tube developers, X-ray manufacturing staff, bodies, suppliers and personnel respon-sible for quality insurance, members of standardization committees, managers responsible for costs of service. Undergraduate training in engineering or science is assumed.

INSTRUCTORRolf Behling is a physicist, Fellow Scientist of the Philips group and a veteran in the field of medical imaging. During his 35-year tenure in this industry, he headed departments for vacuum technology development, was responsible for international project coordina-tion and global innovation, head of marketing and field support for x-ray tubes, department head for x-ray tube development, project

manager, and manufacturing process physicist. The first ever game changing X-ray tube with liquid bearing was developed under his project leadership. Rolf Behling currently heads the Philips group for advanced development of X-ray tubes and X-ray generators at Philips Healthtech in Hamburg, Germany. He is a part-time lectur-er at the University of Hamburg, and has contributed numerous patents and publications in the field of vacuum technology and medical imaging.

COURSE PRICE INCLUDES the text Modern Diagnostic X-Ray Sources, Technology, Manufacturing, Reliability (CRC Press, 2015) by Rolf Behling.

Methodology for Measuring Dynamic Functional Connectivity in Neuroimaging Data AnalysisSC 11 8 4 • Course Level: Intermediate • CEU: 0.4 $300 SPIE Members • $170 SPIE Student Members $350 Non-Members USD Sunday 8:30 am to 12:30 pm

A dynamic version of neuroimaging data analysis not only empha-sizes the functional specifications of brain regions, but also focuses on the massively parallel nature of distributed and interacting re-gions that are hypothesized to process the functional tasks under investigations. Studying brain interactions leads to an emerging field: Functional Connectivity (FC).

FC between two brain units (neuron columns, recording sites, regions) are generally defined as the temporal correlation among their time courses. Its objective is to capture the dynamic, con-text-dependent processes that may lead to preferential recruitment of some units over others.

Based on the traditional Time Series theory, five classical mea-sures - Coherence, Synchronization, Mutual Information, Nonlinear correlation coefficient, and Phase-Locking value are developed to assess FC. They are applied to different neuroimaging disciplines: functional Magnetic Resonance Imaging (fMRI), Magnetoenceph-alography (MEG), and Electroencephalography (EEG).

To tackle problems inherent in classical measures: (a) assumptions of stationarity of Time Series and time-invariance of FC over the entire time course, and (b) the lack of directional information flow between brain units, the methods for dynamic measures of FC and real time measure of FC have been developed.

Rigorous examinations from theoretical methodology perspective, statistical reasoning, and quantitative evaluations, to each measure, are presented. The relations between these measures that provide the basis for consistent assessment and interpretation on FC are given. Examples from real neuroimaging data demonstrate that FC can serve as biomarkers for brain functions.

LEARNING OUTCOMESThis course will enable you to:• describe and summarize statistical properties of neuroimaging

data (fMRI, MEG, EEG)

• explain why methods originated from distinctive fields of science can be used to measure FC

• list and distinguish statistical reasoning and mathematical derivation of each classical measure of FC

• classify the limitations and conditions in developing each classical measure of FC

• identify the hidden assumptions in applying classical measures to Time Series of neuroimaging data

• formulate a protocol for applying dynamic measures of FC to Time Series of neuroimaging data

• explain why the proposed Phase-Locking value can achieve a real time measure of FC for MEG data

• formulate a procedure for applying Phase-Locking value to Time Series of neuroimaging data

• design experiments for measuring FC in resting status and with repeated stimulus

INTENDED AUDIENCEThis course is intended for engineers, physicists, scientists, re-searcher, radiologists, as well as students, who are in the field of medical imaging, neuroimaging data analysis, and brain study.

INSTRUCTORTianhu Lei received his Ph.D. in System Engineering from the University of Pennsylvania. Since then, he has been with Univer-sity of Maryland, the University of Pennsylvania, and University of Pittsburgh. He has more than 25 years of experience in medical imaging and image analysis research. He is the author of the book Statistics of Medical Imaging, CRC Press, 2012 which was awared 2013 Ziegel Prize from Technometrics.

Deep Learning for Image NEW UnderstandingSC 12 35 • Course Level: Intermediate • CEU: 0.7 $520 SPIE Members • $274 SPIE Student Members $610 Non-Members USD Saturday 8:30 am to 5:30 pm

Segmentation, detection, and classification are major tasks in medical image analysis and image understanding. Medical imaging researchers heavily use the results of recent developments in ma-chine learning approaches, and with deep learning methods they achieve significantly better results in many real-world problems compared to previous solutions.

The course aims to enable students and professionals to apply deep learning methods to their data and problem. Using an interactive programming environment, participants of the course will practically explore all required steps and learn the tools and techniques from data preparation to result interpretation. We will work on example data and train models to segment anatomical structures, to detect abnormalities, and to classify them. We will also give brief insights into adjunct fields, like interpretation of trained models, generative models, image improvement, and image reconstruction from raw data.

Participants will work in dockerized environments providing select-ed deep learning toolkit installations, example data, and teaching

Courses


Jupyter notebooks. The Docker containers provided are also the course documentation and are meant to be taken home for further use and research.

LEARNING OUTCOMESThis course will enable you to:• identify the commonly used Deep Learning frameworks

(Theano, TensorFlow, CNTK, Caffe, Torch, Lasagne, Keras) and their respective strengths

• describe the state of the art of deep learning methods in medical applications

• construct computing pipeline using Python based infrastructure, using the above frameworks

• select suitable deep learning network architecture for a given problem and implement it

• explain and interpret learning progress using appropriate metrics

• interpret the model performance using visual analytics

INTENDED AUDIENCEStudents, researchers, and engineers from academia and industry, who seek to obtain practical working knowledge in deep learning.

INSTRUCTORMarkus Wenzel works on machine learning methods for medical applications since 2005 and has published more than 30 confer-ence and journal papers on the subject. He received his PhD for his work on decision support systems for breast care. At Fraunhofer MEVIS, he is a senior scientist for cognitive medical computing. He is a funded member of the Fraunhofer Society research class “Cognitive Machines” and is experiencend in teaching and lectur-ing for academia and industry. He has acquired and led several international research projects.

Hans Meine is a senior scientist who has been using machine learn-ing for image analysis since 2002, and focused on various medical applications at Fraunhofer MEVIS since 2011. Since early 2016, he is organizing the internal training and coaching of Fraunhofer MEVIS staff for the new methodologies in Deep Learning, and now leads the “Image and Data Analysis“ competence area that incorporates both image and non-image data. Recently, his team scored top positions in the „Liver and Tumor Segmentation“ challenges at ISBI and MICCAI 2017 using Deep Learning.

SimpleITK Jupyter Notebooks: NEW Biomedical Image Analysis in PythonSC 12 36 • Course Level: Intermediate • CEU: 0.4 $300 SPIE Members • $170 SPIE Student Members $350 Non-Members USD Sunday 1:30 pm to 5:30 pm

SimpleITK is a simplified programming interface to the algorithms and data structures of the Insight Segmentation and Registration Toolkit (ITK). It supports bindings for multiple programming lan-guages including C++, Python, R, Java, C#, Lua, Ruby and TCL. Combining SimpleITK’s Python binding with the Jupyter notebook

web application creates an environment which facilitates collabo-rative development of biomedical image analysis workflows.

In this course, we will use a hands-on approach utilizing Python based SimpleITK Jupyter notebooks to explore and experiment with various toolkit features. Participants will follow along using their personal laptops, enabling them to explore the effects of changes and settings not covered by the instructor. We will start by introducing the toolkit’s two basic data elements, Images and Transformations. We will then explore the various features available in the toolkit’s registration framework including: optimizer selection, the use of linear and deformable transformations, the embedded multi-resolution framework, self-calibrating optimizers and the use of callbacks for registration progress monitoring. Finally, we will show how to use SimpleITK as a tool for image preparation and data augmentation for deep learning via spatial and intensity transformations.

LEARNING OUTCOMESThis course will enable you to:• describe the components that comprise the SimpleITK

registration framework.• use the SimpleITK registration framework to register their own

data by selecting the appropriate components and settings.• list all of the SimpleITK transformation types and image

intensity manipulation filters.• use SimpleITK to prepare images as input for deep learning

networks, including generation of synthetic images for data augmentation.

INTENDED AUDIENCEStudents, researchers and engineers involved in biomedical image analysis with the need for convenient image IO, image registration and image manipulation via spatial and intensity transformations. Knowledge of the Python programming language is assumed.

INSTRUCTORHans Johnson is an Associate Professor in the Department of Electrical and Computer Engineering, University of Iowa. He has taught university courses using SimpleITK to graduate students from multiple programs. He is actively involved in the development of open source software, contributing to multiple projects includ-ing BRAINSFit, 3D Slicer, ITK, and SimpleITK. He is the current president of the Insight Software Consortium. Dr. Johnson has authored over 100 peer-reviewed journal and conference papers, with his research supported by multiple NIH grants and contracts.

Bradley Lowekamp is a Computer Scientist at MSC LLC, and the Office of High Performance Computing and Communications, US National Library of Medicine. He is the lead architect and devel-oper of SimpleITK. He is actively involved in the development of open source software, contributing to multiple projects including 3D Slicer, ITK, and SimpleITK. Mr. Lowekamp’s interests include biomedical image analysis and software engineering.

Ziv Yaniv is a Senior Computer Scientist at TAJ Technologies Inc, and the Office of High Performance Computing and Communica-tions, US National Library of Medicine. He is the lead maintainer of the SimpleITK Jupyter notebooks environment. He is actively involved in the development of open source software, contributing to multiple projects including IGSTK, ITK, and SimpleITK. Dr. Yaniv

served as chair of the SPIE Image-Guided Procedures, Robotic Interventions and Modeling, conference 2013-2016, and was pro-gram chair for the Information Processing in Computer-Assisted Interventions conference 2016. He is on the editorial boards of IET Healthcare Technology Letters and Int. J. Comput. Assist. Radiol. Surg.

As this is a hands-on course, participants will need to bring their own laptops.

Participants will be provided with the source code for all of the Sim-pleITK Jupyter notebooks (Python code) and the image data used in the course. These will be provided under an Apache 2.0 license.

Instructors will email people registered for this course in advance so that we can provide them with instructions on how to install the SimpleITK Jupyter notebook environment before arriving at the conference venue. For those who do not install the environment in advance, one of the instructors will help them with the installation at the beginning of the first session.

Virtual Clinical Trials: NEW

An In-depth TutorialSC 12 39 • Course Level: Intermediate • CEU: 0.4 $300 SPIE Members • $170 SPIE Student Members $350 Non-Members USD Saturday 8:30 am to 12:30 pm

In 2014, it was estimated that there were just 450 anatomic phan-toms in the world. Today, based on advanced models of breast anatomy, an infinite number of models exist. As such, it is possible to simulate individuals and specific pathologies from the population of all humans with increasingly higher accuracy. This, together with advanced models of image simulation, image processing and image reconstruction, means that we can create arbitrarily large databases of simulated images. At the same time, advances in machine ob-server methods mean that it is possible to conduct virtual clinical trials (VCT) using the simulated images, together with simulations of medical displays, human optical perception and cognition.

The logistics of conducting VCT with thousands of patients is similar to the logistics of organizing the data from clinical trials of similar size. As such, we have developed a standards document outlining methods for conducting VCT, storing VCT results (intermediate and final), and communicating these image data and associate metadata between VCT components. In this course, we will use our experience in conducting large-scale VCT to encourage those new to the field to adopt VCT methods and to aid those already conducting VCT. The course will have applicability to VCT for de-signing new medical imaging equipment and methods, to use VCT data for prototyping and/or complementing the conduct of real clinical trials, and for preparing VCT data for regulatory approvals of new systems and methods.

LEARNING OUTCOMESThis course will enable you to:• describe the roles and methods for conducting VCT• identify the necessary constituent software components for

conducting VCT

Courses


• name the standards relevant for conducting VCT, including DICOM, ASME, IEEE, AAPM, etc.

• construct and Design examples of VCTs to illustrate there usage

• demonstrate existing use cases• explain the underlying statistical considerations for conducting

VCT

INTENDED AUDIENCEClinicians, scientists, and administrators from academia, industry and government.

INSTRUCTORAndrew D. Maidment has 30 years of experience in breast cancer research, with specific training and expertise in development of digital x-ray detectors and 3D breast x-ray imaging. Dr. Maidment has been conducting research into VCT for nearly 20 years, has extensive grant funding in VCTs, and has published extensively in this field. As an Associate Professor in Radiology at the University of Pennsylvania, he has extensive teaching experience.

Predrag Bakic has more than 20 years experience in breast cancer research, with specific training and expertise in developing and conducting VCT. Dr. Bakic’s PhD thesis was on the topic of breast anatomy models for imaging simulation.

Bruno Barufaldi received his Ph.D. from the University of Sao Paolo in 2016. For the last 2 years, he has been active in the field of VCT, designing much of the pipeline software used in the OpenVCT suite of software.

The latest draft of the OpenVCT standard will be provided to partic-ipants. This document is open-source and does not have copyright restrictions. Instructors will quickly introduce the material to those unfamiliar with VCT. However, the majority of the material will be at the intermediate to advanced level to benefit those with VCT experience.

Spectral CT ImagingSC987 • Course Level: Intermediate • CEU: 0.4 $300 SPIE Members • $170 SPIE Student Members $350 Non-Members USD Sunday 8:30 am to 12:30 pm

This course provides attendees with an advanced knowledge of spectral CT imaging. The course focuses on the properties of a spectral CT measurement and the main applications in spectral CT reconstruction and spectral CT image postprocessing. Many clinical examples of spectral CT imaging applications are provided to illustrate the diagnostic outcome of this technique.

LEARNING OUTCOMES• describe the system properties of a spectral CT system• compare different system approaches to acquire spectral

CT data, such as dual source CT, kV switching and energy-resolving detectors

• summarize various algorithms for spectral CT reconstructions and spectral CT image postprocessing

• list the relevant clinical applications of spectral CT• explain the main challenges of spectral CT techniques

INTENDED AUDIENCEThis material is intended for anyone who is interested in the usage of the spectral information provided by modern CT systems. Those who wish to update their knowledge on the CT measurement and reconstruction process and who work with spectral CT applications will find this course valuable.

INSTRUCTORBernhard Schmidt is head of the Siemens Healthcare CT Scanner Applications and Algorithm Predevelopment Group. Over the last few years, he has been closely involved into the development of the Dual Energy product provided by Siemens.

Thomas Flohr is head of Siemens Healthcare CT physics and applications development and has been instrumental in develop-ing multi-detector row CT and dual-source CT. He is an assistant professor at the Eberhard-Karls University, Tübingen, Germany.

Katherine Grant earned her Bachelor of Science degree in Physics from Miami University (Oxford, OH) in 2000. The Minnesota native went on to earn her PhD in Biomedical Engineering from the Mayo Clinic College of Medicine in 2005 with an emphasis in medical imaging and neurophysiology. After graduating, she was awarded a postdoctoral fellowship from the Director of Central/National In-telligence and simultaneously worked as a biomedical engineering research associate at the Mayo Clinic. Dr. Grant joined Siemens Healthcare as a Staff Scientist in 2009 and served as a scientific research collaboration manager within the Computed Tomography business. In 2012 she was promoted to Senior Manager and Senior Key Expert for CT R&D, and then to Director of CT-RO Research Collaborations in the USA in 2014. Her main role is to serve as a liaison between luminary customers/collaborators and Siemens’ physicists and product development specialists, while supporting marketing and sales efforts within the USA.

Writing for PublicationWS776 • Course Level: Introductory * CEU: 0.4 $60 SPIE Members • $50 Student Members $110 Non-Members USD Saturday 1:30 pm to 5:30 pm

This course teaches attendees the skills needed to create well-writ-ten scientific articles for publication in journals or proceedings. We discuss the structure of a paper and the roles of its various parts. You will learn the principles of good technical writing and how to avoid common pitfalls. We will discuss how to use writer’s aids, many of which are available on line.

LEARNING OUTCOMESThis course will enable you to:• plan and craft well-written articles for publication• improve the quality of your scientific writing• edit and revise your writing for consistent style• avoid common errors in grammar and punctuation• overcome writer’s block

INTENDED AUDIENCEThis course is intended for researchers, especially students and

those in their early career, who want to improve their skills in writing scientific articles. The course will be taught at a basic level, but should also benefit those with some experience in technical writing. Participants should be proficient in English.

INSTRUCTORKenneth Hanson has published over 160 papers and edited numer-ous proceedings. He was chair of the Image Processing Conference for six years and chair of the Medical Imaging Symposium for three.

Attendee testimonial:Great course, everything is clearly explained, the instructor was (very) open for questions/suggestions. The course notes are very clear and I will definitely use them as guideline while writing my next paper!

Courses


General InformationRegistrationONSITE REGISTRATION AND BADGE PICK-UP HOURS Texan Foyer, 4th FloorSaturday February 10 . . . . . . . . . . . . . . . . . . . . . . . . 7:15 am to 4:00 pm

Sunday February 11 . . . . . . . . . . . . . . . . . . . . . . . . . . 7:15 am to 4:00 pm

Monday February 12 . . . . . . . . . . . . . . . . . . . . . . . . .7:30 am to 4:00 pm

Tuesday February 13 . . . . . . . . . . . . . . . . . . . . . . . . .7:30 am to 4:00 pm

Wednesday February 14 . . . . . . . . . . . . . . . . . . . . .7:30 am to 4:00 pm

Thursday February 15 . . . . . . . . . . . . . . . . . . . . . . . . 7:30 am to 1:30 pm

CONFERENCE REGISTRATION Includes admission to all conference sessions, plenaries, panels, poster sessions, coffee breaks, and a choice of online proceedings.

COURSE AND WORKSHOP REGISTRATIONCourses and workshops are priced separately. Course-only registration includes your selected course(s), course notes, and coffee breaks. Course prices include applicable taxes. Onsite, please go to Course Desk after you pick up your badge.

EARLY REGISTRATION PRICING AND DATES Conference registration prices increase by US$150 (Students, $75) and course prices increase $75 after 26 January 2018. The online form will automatically display the increased prices.

SPIE MEMBER, SPIE STUDENT MEMBER, AND STUDENT PRICING• SPIE Members receive conference and course registration dis-

counts. Discounts are applied at the time of registration.

• SPIE Student Members receive a 60% discount on all courses.

• Student registration rates are available only to undergraduate and graduate students who are enrolled full time and have not yet received their Ph.D. Post-docs may not register as students. A student ID number or proof of student status is required with your registration.

PRESS REGISTRATIONFor credentialed press and media representatives only. Please email contact information, title, and organization to [email protected].

SPIE CASHIERRegistration AreaOpen during registration hours.

REGISTRATION PAYMENTS If you are paying by cash or check as part of your onsite registration, wish to add a course, workshop, or special event requiring payment, or have questions regarding your registration, visit the SPIE Cashier.

RECEIPT AND CERTIFICATE OF ATTENDANCEPreregistered attendees who did not receive a receipt or attendees who need a Certificate of Attendance may obtain those from the SPIE Cashier at Badge Corrections and Receipts.

BADGE CORRECTIONSBadge corrections can be made by the SPIE Cashier. Please have your badge removed from the badge holder and marked with your changes before approaching the counter.

REFUND INFORMATIONThere is a US$50 service charge for processing refunds. Requests for refunds must be received by 2 February 2018; all registration fees will be forfeited after this date. Membership dues, SPIE Digital Library subscriptions, or Special Events purchased are not refundable.

U.S. GOVERNMENT CREDIT CARDSU.S. Government credit card users: have your purchasing officer contact the credit card company and get prior authorization before attempting to register. Advise your purchasing agent that SPIE is considered a 5968 company for authorization purposes.

Author / Presenter Information

SPEAKER CHECK-IN AND PRESENTATION UPLOAD David Mitzner Room, 4th FloorSunday through Thursday . . . . . . . . . . . . . . . . . . . .7:30 am to 5:00 pm

All presenters must stop by Speaker Check-In to upload their file(s) at least two hours before their scheduled talk. Authors are not able to present using their own devices. All conference rooms have a laptop, projector, screen, lapel microphone, and laser pointer.

POSTER SETUP INSTRUCTIONS Texan Ballroom Salon D, 4th Floor

Sunday/Monday Poster Session Author Setup Time . . . . . . . . . . . . . . . . . . . . . Sunday Noon to 1:30 pm

Authors Remove Posters . . . . . . . . . . . . . . . . . . . . . . . . . . Monday 7 pm

Tuesday/Wednesday Poster Session Author Setup Time . . . . . . . . . . . . . . . . . . . . . . . . Tuesday 9:30 to 11 am

Authors Remove Posters . . . . . . . . . . . . . . . . . . . . . . Wednesday 7 pm

Paper numbers will be placed on the poster boards in numerical order; please find your paper number and put up your poster in the designated space.

A poster author or coauthor is required to stand by the poster during the scheduled interactive poster session to answer questions from attendees.

Presenters who have not placed their poster(s) on their assigned board by 30 minutes prior to the session on the day of their presentation will be considered a “no show” and their manuscript will not be published.

Presenters must remove their posters at the end of the poster ses-sion. Posters not removed will be considered unwanted and will be discarded. SPIE assumes no responsibility for posters left up after the end of each poster session.

SAVE MONEY—Register before 26 January


Onsite Services Food and Beverage ServicesINTERNET ACCESSComplimentary wireless access available; instructions will be posted onsite.

SPIE CONFERENCE AND EXHIBITION APPSearch and browse the program, special events, participants, exhibitors, courses, and more. Free Conference App available for iPhone and Android phones.

SPIE BOOKSTORE Texan Foyer, 4th Floor

Stop by the SPIE Bookstore to browse the latest SPIE Press Books, proceedings, and educational materials. While there, get a t-shirt or educational toy to bring home to the family.

SPIE EDUCATION SERVICESLocation

Browse course offerings or learn more about SPIE courses available in portable formats such as Online and customized, In-company courses.

SPIE LUGGAGE & COAT CHECKComplimentary luggage, package, and coat storage are available at the hotel front desk. Please note hours; no late pickup available.

CHILD CARE SERVICESMom’s Best Friend – Hotel Child Care https://momsbestfriend.com/houston/hotel-babysitter

281.578.2584 or 713.776.2669

NOTE: SPIE does not imply an endorsement nor recommendation of these services. They are provided on an “information only” basis for your further analysis and decision. Other services may be available.

URGENT MESSAGE LINEAn urgent message line is available during registration hours: +1 346 888 2941.

LOST AND FOUNDRegistration Desk, Texan Foyer 4th FloorHours

Found items will be kept at the Registration Desk until 1 pm on Thurs-day and then turned over to Marriott Marquis security. At the end of the meeting, all found items will be turned over to Marriott Marquis Houston Security.

COFFEE BREAKS Texan Foyer, 4th Floor

Complimentary coffee will be served twice daily, at 10:00 am and 3:00 pm. Check individual conference listings for exact times and locations.

FOOD & REFRESHMENTS FOR PURCHASELocation and hours TBD

Hot and cold snacks, hot entrees, salads, and pastries are available for purchase. Cash and credit cards accepted.

SPIE-HOSTED LUNCHESTexan Ballroom Salon F, 4th FloorSunday through Thursday . . . . . . . . . . . . . . . . . . . . . 12:10 to 12:50 pm

SPIE-hosted lunches will be included in registration packets for full-conference registrants including Students Sunday through Thursday.

All attendees need to make their own lunch arrangements on Saturday.

HotelReserve your hotel room in SPIE contracted hotels for discounted rates. Attendees receive discounted convention rates by reserving their hotel room through the official housing reservation system for SPIE Medical Imaging. Housing opens on Oct 18th, visit the Medical Imaging Hotel webpage to make your online reservations.

WARNING: UNOFFICIAL HOUSING SOLICITATIONSSPIE has arranged special discounted hotel rates for SPIE conference attendees.

Use the SPIE Official Housing Vendor to book your room

To receive special hotel rates for this meeting, you must use the SPIE Official Housing Vendor. SPIE strongly recommends you DO NOT book housing from any company that contacts you via phone or email.

• The reservation system that SPIE uses for this event is available only via the Hotel page on the event website.

• SPIE Official Housing Vendors use an Official SPIE Contractor logo to verify they are authorized by SPIE

• Our housing vendors DO NOT reach out to you with solicitations.

• Our housing vendors may follow up with you about housing once you have begun booking via our website, but NOT as an initial solicitation.

• SPIE cannot be liable for any claims made by unofficial entities or for any damages suffered by you if you use any vendor or service that is not an SPIE Official Housing Vendor.

General Information


SPIE Medical Imaging 2018 is being held at:

Marriott Marquis Houston 1777 Walker Street Houston, TX 77010

As the newest addition to the scenic Houston skyline, Marriott Marquis Houston captures the bold spirit of Texas while embracing the best of Southern hospitality, all with stunning views of Downtown Houston. Enjoy quick access to George R. Brown Convention Center via our sky bridge as well access to nearby attractions including Minute Maid Park, Toyota Center and BBVA Compass Stadium.

The hotel also features a Texas-shaped lazy river, a heated infinity pool, and the signature High Dive bar - all on the rooftop overlooking Discovery Green Park. The hotel offers a full-service spa, a 24-hour fitness center, two-story Biggio’s Sports Bar, Walker Street Kitchen, Xochi by Chef Hugo Ortega, Cueva wine bar and Texas T cafe.

Visiting Texas Texas is a large state located in the southern U.S. with deserts, pine forest and the Rio Grande, a river that forms its border with Mexico. The population is 26.9 million (2014) and is home to over 45 colleges and universities. Austin, the capital of the state, is known for its eclectic music scene and LBJ Presidential Library.

Houston is Texas’ largest city, extending to Galveston Bay. It’s close-ly linked with the Space Center Houston, the coastal visitor center at NASA’s astronaut training and flight control complex. The city’s relatively compact Downtown includes the Theater District, home to the renowned Houston Grand Opera, and the Historic District, with 19th-century architecture and upscale restaurants.

Houston is also known for its medical research opportunities. This area offers one of the highest densities of clinical facilities for patient care, basic science, and translational research and continues to be a hub for medical advancement and care thanks to the proximity of the Texas Medical Center, MD Anderson Cancer Center, Rice University and the Univeristy of Houston; top level research in one location and an opportunity to network with like-minded leaders gathering in one city.

• Visiting Houston – Restaurants, Shopping, Maps and more!

• Food and Dining

• Things to See and Do

Visit the Medical Imaging Travel page for links.

Airport Information• George Bush Intercontinental Airport - (IAH) is located

approximately 20 miles SW of the hotel.

• William P Hobby Airport - (HOU) is located approximately 9 miles NW of the hotel.

• Ellington Field - (EFD) is located approximately 17.5 miles NW of the hotel.

General InformationCar Rental

Hertz Car Rental is the selected as the official car rental agency for this Event. To reserve a car, identify yourself as a Medical Imaging conference attendee using the Hertz

Meeting Code CV# 029B0023. Discount rates apply for rentals up to one week prior through one week after the conference dates. Note: When booking from International Hertz locations, the CV # must be quoted with the letters CV before the number, i.e. CV029B0023. To rent onlin: www.hertz.com/rentacar/reservation

• In the United States call 1-800-654-2240.

• In Canada call 1-800-263-0600, or 1-416-620-9620 in Toronto.

• In Europe and Asia call the nearest Hertz Reservation Center or travel agent.

• Outside of these areas call 1-405-749-4434.

Visa informationIf you need a travel visa, begin the visa application process now. Strict security requirements may cause delays in visa processing. It is strongly encouraged travelers to apply for their visas as early as possible (at least 3 to 4 months before the visa is needed).

Individuals requiring letters of invitation to obtain travel visas to present their papers may access information and the form on the Visa Information and Invitation Requests page online.


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SPIE Event Policies


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SPIE Event Policies


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