3d statistical and physics-based deformable models for image sequence analysis
FP4 — Training and Mobility of Researchers
- Duration
- 1996-06-10 → 1999-06-09
- EU contribution
- —
- Participants
- 2
- Scheme
- RGI
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Project objective
Moving deformable structures are now key phenomena in a growing number applications (bio-medical imagery, human motion analysis, fluid mecanics, crash tests, etc). Extracting, interpreting and visualizing qualitative and/or quantitative information on moving deformable structures (from image sequences) requires a deep understanding of the complex interactions between motion, distortion, and imaging process. The objective of this research (which will be pursued in candidacy for french PhD degree) is to develop a comprehensive model-based framework for: - the representation of 3D+t (spatio-temporal) deformable structures - the segmentation of these structures in image sequences - the tracking of 3D deformable structures over long image sequences - the interpretation of deformable motion, within an application in medical imagery (Magnetic Resonance Imagery). To this end, statistical and physics-based models will be considered, with a special emphasis on statistical approaches. Statistical model identification techniques, bayesian model-based image segmentation, recursive temporal filtering and statistical-based interpretation methods will be investigated. This project will be conducted at Louis-Pasteur University of Strasbour (Ecole Nationale Superieure de Physique de Strasbourg) in collaboration with IPB (Institut de Physique Biologique", URA CNRS 1173), Strasbourg Hospital (extraction of moving organs from MRI images). "
Original text from CORDIS.
Participants
Links
Data: CORDIS, © European Union