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A statistical shape modeling platform for medical applications
Researchers Thomas Vetter, Marcel Lüthi, Ghazi Bouabene
Funding SNF (Massnahmen zur Abfederung der Frankenstärke)
Project Duration 1.6.2012 - 31.5.2014
Statistical shape models (SSMs) have been firmly established as a robust tool for medical image analysis, but the application of this technology in the MedTech industry is still in its early stage. This can be explained by the fact that the construction and application of statistical shape models is very knowledge-intensive and requires a large number of high quality training examples, which are not readily-available to the MedTech industry.
In this project, we will leverage the technical advancements on statistical shape modeling achieved within the Co-Me re-search network. Integrating the various research results on image segmentation and registration, statistical shape model fitting, and medical image collection, will provide a dedicated user platform. The proposed platform will be based on the Virtual Skeleton Database, a large repository of medical images. Furthermore, it will feature an Shape modeling toolkit, which will allow for the straightforward application of such models. As an exemplar application of the proposed platform, we will develop a medical application called iLeg for the advanced treatment of knee osteoarthritis (OA)disease. iLeg targets true 3D planning and evaluation of OA treatment from clinically available 2D X-ray radiographs, whose acquisition is part of the standard treatment loop.

Publications A unified approach to shape model fitting and non-rigid registration
Marcel Lüthi, Christoph Jud and Thomas Vetter
IN: Proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, LNCS 8184, pp.66-73 Nagoya, Japan, September 2013
DOI: http://dx.doi.org/10.1007/978-3-319-02267-3_9

  Posterior Shape Models [pdf]
Thomas Albrecht, Marcel Lüthi, Thomas Gerig and Thomas Vetter
Medical Image Analysis: Volume 17, Issue 8, December 2013, Pages 959 -- 973
DOI: http://dx.doi.org/10.1016/j.media.2013.05.010

  Statismo - A framework for PCA based statistical models. [pdf]
Marcel Lüthi, Remi Blanc, Thomas Albrecht, Tobias Gass, Orcan Goksel, Philippe Büchler,Michael Kistler, Habib Bousleiman, Mauricio Reyes, Philippe Cattin, Thomas Vetter
The Insight Journal - 2012 January-December. http://hdl.handle.net/10380/3371