KIT – University of the State of Baden-Württemberg andNational Laboratory of the Helmholtz Association www.kit.edu

Institute for Data Processing and Electronics

Introducing Torsten HoppUSCT image processing & image registration

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Who am I ?

Torsten Hopp• Studied applied computer science at Berufsakademie Mannheim (BSc) and

University of Heidelberg (MSc)• At IPE since 2003, member of USCT project since 2004• PhD Thesis (completed 2012) on multimodal breast image registration:

„Registration of X-ray mammograms with 3D volume datasets“• Currently postdoc in USCT project

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Professional Interests

• Medical imaging• Ultrasound Computer Tomography• Breast imaging

• Medical image processing• Image registration• Biomechanical models + FEM simulations• Image segmentation• Image presentation/visualization

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Projects (1)

• Registration of USCT and MRI images• Current setup: biomechanical model to simulate the buoyancy/gravity effect on

the breast

USCT: slice 150MRI: slice 97

FEM model Buoyancy simulation Surface based refinement

Registered MRI: slice 150

• Segmentation of MRI• Tetrahedral meshing• Material model• Boundary conditions

• Simulating gravity-free state• Optimization of material

parameters

• Segmentation of USCT• Rigid alignment• Freeform deformation with

cubic B-splines

MRI volume (projection)

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Projects (2)

• Intermodal registration (3D USCT/MRI to 2D XR) • USCT clinical study preparation, DICOM Viewer for radiologists

• Image analysis – evaluation of USCT images for diagnosis• Recently also:

• Simulation of USCT imaging properties• simulation of USCT transducers (Finite Element Method)• patient movement compensation in USCT images by registration

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The Future (some ideas at least…)

• Multimodal breast image diagnosis including USCT?• More accurate and robust image registration method• Improved and automated segmentation• Analysis of USCT images (e.g. classification of tissue)

• Data management to integrate USCT into clinical workflow (DICOM, PACS?)• New methods for visualizing multimodal information intuitively (regarding

the wishes and needs of radiologists!)