Lecture Notes in Computer Science 10263

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Mihaela Pop • Graham A. Wright (Eds.)

Functional Imagingand Modellingof the Heart9th International Conference, FIMH 2017Toronto, ON, Canada, June 11–13, 2017Proceedings

123

EditorsMihaela PopUniversity of TorontoToronto, ONCanada

Graham A. WrightUniversity of TorontoToronto, ONCanada

ISSN 0302-9743 ISSN 1611-3349 (electronic)Lecture Notes in Computer ScienceISBN 978-3-319-59447-7 ISBN 978-3-319-59448-4 (eBook)DOI 10.1007/978-3-319-59448-4

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Preface

FIMH 2017 was the 9th International Conference on Functional Imaging and Mod-elling of the Heart. It was held in Toronto, Canada, during June 11–13, 2017. Thisyear’s edition of FIMH followed the past eight editions held in Helsinki (2001), Lyon(2003) Barcelona (2005), Salt Lake City (2007), Nice (2009), New York (2011),London (2013), and Maastricht (2015). FIMH 2017 provided a unique forum for thediscussion of the latest developments in the areas of functional cardiac imaging as wellas computational modelling of the heart. The topics of the conference included (butwere not limited to): advanced cardiac imaging and image processing techniques,myocardial tissue characterization and perfusion, robotics and image-guided therapyprocedures, computational fluid dynamics, forward and inverse problems inelectro-physiology, modelling of cardiac function across different patient populations,statistical atlases, computational physiology and biomechanics of the heart, parame-terization of mathematical models from data, integrated functional and structuralanalyses, as well as the preclinical and clinical applicability of these methods.

FIMH 2017 drew many submissions from around the world. From the initial 63registered papers, 49 contributions were accepted. Finally, 48 selected papers wereinvited to be published by Springer in this Lecture Notes in Computer Science pro-ceedings volume. All submitted papers were peer-reviewed by two or three ProgramCommittee members who are international experts in the field. The review process wasdouble-blinded and all papers underwent a rebuttal phase, during which the authorsaddressed specific concerns and issues raised by reviewers and improved the scientificcontent and the quality of the manuscripts.

The conference was greatly enhanced by invited keynote lectures given by fourworld experts in various fields related to: parameterization of patient-specific cardiacbiophysical models, novel magnetic resonance (MR) and computed tomography(CT) techniques for myocardial tissue characterization, advanced MR imaging andimage reconstruction, as well as artificial agents and personalized medicine. We areextremely grateful to Dr. Maxime Sermesant (Inria, Sophia Antiplois, Asclepios pro-ject, France), Dr. Maria Drangova (Robarts Institute, London Ontario, Canada), Dr.Dorin Comaniciu (Siemens, Princeton, USA), and Dr. Debiao Li (Cedar-Sinai, UCLA,Los Angeles, USA) for their exceptional lectures.

We hope that all these papers, along with the keynote contributions and fruitfuldiscussion during the conference, will act to accelerate progress in the important areasof functional imaging and modelling of the heart.

June 2017 Mihaela PopGraham A. Wright

Organization

We would like to thank all organizers, additional reviewers, contributing authors, andsponsors for their time, effort, and financial support in making FIMH 2017 a successfulevent.

Chairs

Mihaela Pop University of Toronto, Sunnybrook Research Institute,Canada

Graham A. Wright University of Toronto, Sunnybrook Research Institute,Canada

Program Committee

Elsa Angelini Telecom ParisTech, FranceNicholas Ayache Inria, FranceLeon Axel New York University, USAYves Bourgault University of Ottawa, CanadaPeter Bovendeerd Eindhoven University of Technology, The NetherlandsYves Coudiere Inria Bordeaux, FranceOscar Camara University Pompeu Fabra, Barcelona, SpainDominique Chapelle Inria, FrancePatrick Clarysse University of Lyon, FranceDorin Comaniciu Siemens, USATammo Delhaas Maastricht University, The NetherlandsHerve Delingette Inria, FranceJan D’hooge KU Leuven, BelgiumNicolas Duchateau University of Lyon, FranceJames Duncan Yale University, USAAlejandro Frangi Sheffield University, UKJean-Frederic Gerbeau Inria, FranceArun Holden Leeds University, UKPablo Lamata King’s College London, UKCristian Linte RIT-Rochester, USAHerve Lombaert Inria, FranceCristian Lorenz Philips Research, GermanyChris Macgowan SickKids Hospital Toronto, CanadaRob MacLeod University of Utah, USAIsabelle Magnin University of Lyon, FranceTommaso Mansi Siemens, USADimitris Metaxas Rutgers University, USA

Martyn Nash University of Auckland, New ZealandSebastien Ourselin University College London, UKTerry Peters Robarts Institute, CanadaCaroline Petitjean University of Rouen, FranceMihaela Pop Sunnybrook, University of Toronto, CanadaKawal Rhode King’s College London, UKIdan Roifman Sunnybrook Health Sciences Center, CanadaDaniel Rueckert Imperial College London, UKFrank Sachse University of Utah, USAGunnar Seemann University of Freiburg, GermanyMaxime Sermesant Inria, FranceKaleem Siddiqi McGill University, CanadaLarry Staib Yale University, USARegis Vaillant GE Healthcare, FranceHans van Assen Carelabs, The NetherlandsJurgen Weese Phillips Research, GermanyGraham Wright Sunnybrook, University of Toronto, CanadaAlistair Young University of Auckland, New ZealandXiahai Zhuang Fudan University, China

Sponsor Relations, OCS Submission System, Webmaster

Mihaela Pop University of Toronto, Sunnybrook Research Institute,Canada

Local Organization

Jean Rookwood Sunnybrook Research Institute, CanadaKimberly Allen Sunnybrook Research Institute, CanadaLabonny Biswas Sunnybrook Research Institute, CanadaSebastian Ferguson Sunnybrook Research Institute, Canada

VIII Organization

Sponsors

We are extremely grateful for the industrial and institutional funding support from thefollowing Sponsors:

Siemens-Healthineers (http://siemens.com)

Fuji Film/VisualSonics(http://visualsonics.com)

Inria (https://www.inria.fr/en)

Imricor (http://imricor.com/)

SciMedia Ltd (http://www.scimedia.com/)

GE HealthCare (http://www3.gehealthcare.ca/en)

Shelly Medical Imaging Technologies (http://simutec.com)

HeartVista (http://www.heartvista.com/)

Organization IX

Contents

Novel Imaging and Analysis Methods for Myocardial Tissue Characterizationand Remodelling

Three-Dimensional Quantification of Myocardial Collagen Morphologyfrom Confocal Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Abdallah I. Hasaballa, Gregory B. Sands, Alexander J. Wilson,Alistair A. Young, Vicky Y. Wang, Ian J. LeGrice, and Martyn P. Nash

In Vivo Parametric T1 Maps Correlate with Structural and MolecularCharacteristics of Focal Fibrosis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

Mihaela Pop, Samuel Oduneye, Li Zhang, Susan Newbigging,and Graham Wright

Microstructural Analysis of Cardiac Endomyocardial Biopsieswith Synchrotron Radiation-Based X-Ray Phase Contrast Imaging . . . . . . . . 23

Hector Dejea, Patricia Garcia-Canadilla, Marco Stampanoni,Monica Zamora, Fatima Crispi, Bart Bijnens, and Anne Bonnin

Cartan Frames for Heart Wall Fiber Motion . . . . . . . . . . . . . . . . . . . . . . . . 32Babak Samari, Tristan Aumentado-Armstrong, Gustav Strijkers,Martijn Froeling, and Kaleem Siddiqi

Robust Model-Based Registration of Cardiac MR Images for T1and ECV Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

Sofie Tilborghs, Tom Dresselaers, Piet Claus, Guido Claessen,Jan Bogaert, Frederik Maes, and Paul Suetens

Improving Understanding of Long-Term Cardiac Functional Remodellingvia Cross-Sectional Analysis of Polyaffine Motion Parameters . . . . . . . . . . . 51

Kristin McLeod, Maxime Sermesant, and Xavier Pennec

Advanced Cardiac Image Analysis Tools for Diagnostic and Interventions

Multi-cycle Reconstruction of Cardiac MRI for the Analysisof Inter-ventricular Septum Motion During Free Breathing . . . . . . . . . . . . . . 63

Teodora Chitiboi, Rebecca Ramb, Li Feng, Eve Piekarski,Lennart Tautz, Anja Hennemuth, and Leon Axel

Learning-Based Heart Coverage Estimation for Short-Axis Cine CardiacMR Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73

Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh,Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker,Antonio de Marvao, Declan O’Regan, Stuart Cook, and Daniel Rueckert

Using Atlas Prior with Graph Cut Methods for Right VentricleSegmentation from Cardiac MRI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83

Shusil Dangi and Cristian A. Linte

Image Segmentation and Modeling of the Pediatric Tricuspid Valvein Hypoplastic Left Heart Syndrome . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95

Alison M. Pouch, Ahmed H. Aly, Andras Lasso, Alexander V. Nguyen,Adam B. Scanlan, Francis X. McGowan, Gabor Fichtinger,Robert C. Gorman, Joseph H. Gorman III, Paul A. Yushkevich,and Matthew A. Jolley

Strain-Based Parameters for Infarct Localization: Evaluation via a LearningAlgorithm on a Synthetic Database of Pathological Hearts . . . . . . . . . . . . . . 106

Gerardo Kenny Rumindo, Nicolas Duchateau, Pierre Croisille,Jacques Ohayon, and Patrick Clarysse

Towards Cognition-Guided Patient-Specific FEM-Based CardiacSurgery Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115

Nicolai Schoch and Vincent Heuveline

FastVentricle: Cardiac Segmentation with ENet. . . . . . . . . . . . . . . . . . . . . . 127Jesse Lieman-Sifry, Matthieu Le, Felix Lau, Sean Sall,and Daniel Golden

Slice-to-Volume Image Registration Models for MRI-GuidedCardiac Procedures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139

L.W. Lorraine Ma and Mehran Ebrahimi

Random Forest Based Left Ventricle Segmentation in LGE-MRI . . . . . . . . . 152Tanja Kurzendorfer, Christoph Forman, Alexander Brost,and Andreas Maier

A Multiple Kernel Learning Framework to Investigate the RelationshipBetween Ventricular Fibrillation and First Myocardial Infarction . . . . . . . . . . 161

Maciej Marciniak, Hermenegild Arevalo, Jacob Tfelt-Hansen,Kiril A. Ahtarovski, Thomas Jespersen, Reza Jabbari, Charlotte Glinge,Niels Vejlstrup, Thomas Engstrom, Mary M. Maleckar,and Kristin McLeod

XII Contents

Real-Time Guiding Catheter and Guidewire Detection for CongenitalCardiovascular Interventions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172

YingLiang Ma, Mazen Alhrishy, Maria Panayiotou,Srinivas Ananth Narayan, Ansab Fazili, Peter Mountney,and Kawal S. Rhode

Feature Tracking Cardiac Magnetic Resonance via Deep Learning andSpline Optimization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183

Davis M. Vigneault, Weidi Xie, David A. Bluemke, and J. Alison Noble

Noise Sensitive Trajectory Planning for MR Guided TAVI . . . . . . . . . . . . . 195Mustafa Bayraktar, Erol Yeniaras, Sertan Kaya, Seraphim Lawhorn,Kamran Iqbal, and Nikolaos V. Tsekos

3D Coronary Vessel Tracking in X-Ray Projections . . . . . . . . . . . . . . . . . . 204Emmanuelle Poulain, Grégoire Malandain, and Régis Vaillant

Electrophysiology: Mapping and Biophysical Modelling

A Parameter Optimization to Solve the Inverse Problemin Electrocardiography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219

Gwladys Ravon, Rémi Dubois, Yves Coudière, and Mark Potse

Sparse Bayesian Non-linear Regression for Multiple Onsets Estimationin Non-invasive Cardiac Electrophysiology. . . . . . . . . . . . . . . . . . . . . . . . . 230

Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson,Lauren Fovargue, Jack Lee, Aldo Rinaldi, Nicholas Ayache,Reza Razavi, and Maxime Sermesant

Estimation of Local Conduction Velocity from Myocardium ActivationTime: Application to Cardiac Resynchronization Therapy. . . . . . . . . . . . . . . 239

Thomas Pheiffer, David Soto-Iglesias, Yaroslav Nikulin,Tiziano Passerini, Julian Krebs, Marta Sitges, Antonio Berruezo,Oscar Camara, and Tommaso Mansi

Variance Based Sensitivity Analysis of IKr in a Model of the Human AtrialAction Potential Using Gaussian Process Emulators. . . . . . . . . . . . . . . . . . . 249

Eugene T.Y. Chang, Sam Coveney, and Richard H. Clayton

Image-Based Modeling of the Heterogeneity of Propagation of the CardiacAction Potential. Example of Rat Heart High Resolution MRI . . . . . . . . . . . 260

Anđela Davidović, Yves Coudière, and Yves Bourgault

VT Scan: Towards an Efficient Pipeline from Computed TomographyImages to Ventricular Tachycardia Ablation . . . . . . . . . . . . . . . . . . . . . . . . 271

Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Pierre Jaïs,Hubert Cochet, and Maxime Sermesant

Contents XIII

Analysis of Activation-Recovery Intervals from Intra-cardiac Electrogramsin a Pre-clinical Chronic Model of Myocardial Infarction . . . . . . . . . . . . . . . 280

Danielle Denisko, Samuel Oduneye, Philippa Krahn, Sudip Ghate,Ilan Lashevsky, Graham Wright, and Mihaela Pop

Improving the Spatial Solution of Electrocardiographic Imaging: A NewRegularization Parameter Choice Technique for the Tikhonov Method. . . . . . 289

Judit Chamorro-Servent, Rémi Dubois, Mark Potse, and Yves Coudière

Statistical Atlases for Electroanatomical Mapping of Cardiac Arrhythmias . . . 301Mihaela Constantinescu, Su-Lin Lee, Sabine Ernst,and Guang-Zhong Yang

Prediction of Post-Ablation Outcome in Atrial Fibrillation Using ShapeParameterization and Partial Least Squares Regression . . . . . . . . . . . . . . . . . 311

Shuman Jia, Claudia Camaioni, Marc-Michel Rohé, Pierre Jaïs,Xavier Pennec, Hubert Cochet, and Maxime Sermesant

Adjustment of Parameters in Ionic Models Using OptimalControl Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 322

Diogène Vianney Pongui Ngoma, Yves Bourgault, Mihaela Pop,and Hilaire Nkounkou

Smoothed Particle Hydrodynamics for Electrophysiological Modeling:An Alternative to Finite Element Methods . . . . . . . . . . . . . . . . . . . . . . . . . 333

Èric Lluch, Rubén Doste, Sophie Giffard-Roisin, Alexandre This,Maxime Sermesant, Oscar Camara, Mathieu De Craene,and Hernán G. Morales

A Rule-Based Method to Model Myocardial Fiber Orientationfor Simulating Ventricular Outflow Tract Arrhythmias . . . . . . . . . . . . . . . . . 344

Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Rafael Sebastian,Sophie Giffard-Roisin, Rocio Cabrera-Lozoya, Maxime Sermesant,Antonio Berruezo, Damián Sánchez-Quintana, and Oscar Camara

Biomechanics: Modelling and Tissue Property Measurements

Feasibility of the Estimation of Myocardial Stiffness with Reduced2D Deformation Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357

Anastasia Nasopoulou, David A. Nordsletten, Steven A. Niederer,and Pablo Lamata

Analysis of Coronary Contrast Agent Transport in Bolus-BasedQuantitative Myocardial Perfusion MRI Measurementswith Computational Fluid Dynamics Simulations . . . . . . . . . . . . . . . . . . . . 369

Johannes Martens, Sabine Panzer, Jeroen P.H.M. van den Wijngaard,Maria Siebes, and Laura M. Schreiber

XIV Contents

Microstructurally Anchored Cardiac Kinematics by CombiningIn Vivo DENSE MRI and cDTI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381

Luigi E. Perotti, Patrick Magrath, Ilya A. Verzhbinsky, Eric Aliotta,Kévin Moulin, and Daniel B. Ennis

A Patient-Specific Computational Fluid Dynamics Model of the LeftAtrium in Atrial Fibrillation: Development and Initial Evaluation . . . . . . . . . 392

Alessandro Masci, Martino Alessandrini, Davide Forti,Filippo Menghini, Luca Dedé, Corrado Tommasi, Alfio Quarteroni,and Cristiana Corsi

Assessment of Atrioventricular Valve RegurgitationUsing Biomechanical Cardiac Modeling. . . . . . . . . . . . . . . . . . . . . . . . . . . 401

R. Chabiniok, P. Moireau, C. Kiesewetter, T. Hussain, Reza Razavi,and D. Chapelle

In Silico Analysis of Haemodynamics in Patient-Specific Left Atriawith Different Appendage Morphologies . . . . . . . . . . . . . . . . . . . . . . . . . . 412

Andy L. Olivares, Etelvino Silva, Marta Nuñez-Garcia,Constantine Butakoff, Damián Sánchez-Quintana, Xavier Freixa,Jérôme Noailly, Tom de Potter, and Oscar Camara

Identification of Transversely Isotropic Properties from MagneticResonance Elastography Using the Optimised Virtual Fields Method. . . . . . . 421

Renee Miller, Arunark Kolipaka, Martyn P. Nash, and Alistair A. Young

Longitudinal Parameter Estimation in 3D Electromechanical Models:Application to Cardiovascular Changes in Digestion . . . . . . . . . . . . . . . . . . 432

Roch Mollero, Jakob A. Hauser, Xavier Pennec, Manasi Datar,Hervé Delingette, Alexander Jones, Nicholas Ayache, Tobias Heimann,and Maxime Sermesant

One Mesh to Rule Them All: Registration-Based PersonalizedCardiac Flow Simulations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441

Alexandre This, Ludovic Boilevin-Kayl, Hernán G. Morales,Odile Bonnefous, Pascal Allain, Miguel A. Fernández,and Jean-Frédéric Gerbeau

Estimating 3D Ventricular Shape From 2D Echocardiography:Feasibility and Effect of Noise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 450

Gabriel Bernardino, Constantine Butakoff, Marta Nuñez-Garcia,Sebastian Imre Sarvari, Merida Rodriguez-Lopez, Fatima Crispi,Miguel Ángel González Ballester, Mathieu De Craene, and Bart Bijnens

Contents XV

Combining Deformation Modeling and Machine Learning for PersonalizedProsthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction. . . . . 461

Jannis Hagenah, Michael Scharfschwerdt, Achim Schweikard,and Christoph Metzner

Assessment of Haemodynamic Remodeling in Fetal Aortic CoarctationUsing a Lumped Model of the Circulation . . . . . . . . . . . . . . . . . . . . . . . . . 471

Paula Giménez Mínguez, Bart Bijnens, Gabriel Bernardino, Èric Lluch,Iris Soveral, Olga Gómez, and Patricia Garcia-Canadilla

3D Motion Modeling and Reconstruction of Left Ventricle Wallin Cardiac MRI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481

Dong Yang, Pengxiang Wu, Chaowei Tan, Kilian M. Pohl, Leon Axel,and Dimitris Metaxas

Modeling of Myocardium Compressibility and its Impact in ComputationalSimulations of the Healthy and Infarcted Heart . . . . . . . . . . . . . . . . . . . . . . 493

Joao S. Soares, David S. Li, Eric Lai, Joseph H. Gorman III,Robert C. Gorman, and Michael S. Sacks

Characterizing Patterns of Response During Mild Stress-Testingin Continuous Echocardiography Recordings Using a MultiviewDimensionality Reduction Technique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 502

Mariana Nogueira, Gemma Piella, Sergio Sanchez-Martinez,Hélène Langet, Eric Saloux, Bart Bijnens, and Mathieu De Craene

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 515

XVI Contents