KIT – University of the State of Baden-Württemberg and National Laboratory of the Helmholtz Association www.kit.edu Institute for Data Processing and Electronics.

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Presentation transcript:

KIT – University of the State of Baden-Württemberg and National Laboratory of the Helmholtz Association Institute for Data Processing and Electronics Introducing Torsten Hopp USCT image processing & image registration

22 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

33 Professional Interests Medical imaging Ultrasound Computer Tomography Breast imaging Medical image processing Image registration Biomechanical models + FEM simulations Image segmentation Image presentation/visualization

44 Projects (1) Registration of USCT and MRI images Current setup: biomechanical model to simulate the buoyancy/gravity effect on the breast USCT: slice 150 MRI: 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)

55 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

66 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!)