Statistical Computing on Manifolds for Computational Anatomy

Xavier Pennec 1
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : During the last decade, my main research topic was on medical image analysis, and more particularly on image registration. However, I was also following in background a more theoretical research track on statistical computing on manifolds. With the recent emergence of computational anatomy, this topic gained a lot of importance in the medical image analysis community. During the writing of this habilitation manuscript, I felt that it was time to present a more simple and uni ed view of how it works and why it can be important. This is why the usual short synthesis of the habilitation became a hundred pages long text where I tried to synthesizes the main notions of statistical computing on manifolds with application in registration and computational anatomy. Of course, this synthesis is centered on and illustrated by my personal research work.
Type de document :
Computer Science [cs]. Université Nice Sophia Antipolis, 2006
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Contributeur : Service Ist Inria Sophia Antipolis-Méditerranée / I3s <>
Soumis le : lundi 17 octobre 2011 - 16:50:16
Dernière modification le : jeudi 11 janvier 2018 - 16:41:57
Document(s) archivé(s) le : jeudi 15 novembre 2012 - 09:50:45


  • HAL Id : tel-00633163, version 1



Xavier Pennec. Statistical Computing on Manifolds for Computational Anatomy. Computer Science [cs]. Université Nice Sophia Antipolis, 2006. 〈tel-00633163〉



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