AHM 2013 Presentation Fraunhofer MEVIS
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Horst Hahn: "Recent Developments on Quantitative Multimodal Imaging at Fraunhofer MEVIS"
Download Slides - contains additional material not shown during the presentation due to internet connectivity issues
Content:
- Overview Fraunhofer MEVIS and Fraunhofer-Gesellschaft
- Clarification Fraunhofer MEVIS (non-profit research center) vs. MeVis Medical Solutions (independent commercial spin-out company)
- Internal structure Fraunhofer MEVIS: Domains, Foci, Projects, examples: Lung Domain, Onco Domain, Neuro Domain, etc.
- MeVisLab: Principle, User Community, Open Source Components, ITK/VTK wrapper, PythonQt
- Similar open source project: XIP
- Four levels of challenges in translational medical image computing research
- Recent new research foci at Fraunhofer MEVIS: Modeling & Simulation, Physics of MR Imaging and Co-Optimization, Image Registration (Project Group Lübeck), CAD
- Liver surgery risk assessment & Internet based distant service
- Animal model for sinusoidal remodeling during liver regeneration
- Mobile liver explorer project
- 4D PC-MRI flow visualization and quantification, probabilistic tracking, 3D/4D pressure difference mapping, bloodflow simulation, flow pattern analysis, ex-vivo and histopathological validation of multispectral plaque MRI
- MeVisLab integration: OsiriX plugin
- Multimodal breast imaging:
- HAMAM project
- interactive CAD
- fast breast MRI, comparison of dynamic and morphological features
- cross-modality spatial correlation MRI vs. mammography, 3D-ultrasound vs. tomosynthesis etc., deformation simulation
- image registration of prior and current breast MRI
- ASSURE project: stratification of breast cancer screening based on extended risk modeling and multimodal imaging
- upcoming EC FP7 project VPH-PRISM: multidisciplinary phenotyping and decision support, automated quantitative analysis of whole-slide digital pathology data
- web/cloud applications
- new features in MeVisLab
- GraphicsView demo
- Perspectives
- COMIC: Consortium of Open Medical Image Computing