New algorithms to map asymmetries of 3D surfaces

Benoît Combès 1 Sylvain Prima 1
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : In this paper, we propose a set of new generic automated processing tools to characterise the local asymmetries of anatomical structures (represented by surfaces) at an individual level, and within/between populations. The building bricks of this toolbox are: 1) a new algorithm for robust, accurate, and fast estimation of the symmetry plane of grossly symmetrical surfaces, and 2) a new algorithm for the fast, dense, non-linear matching of surfaces. This last algorithm is used both to compute dense individual asymmetry maps on surfaces, and to register these maps to a common template for population studies. We show these two algorithms to be mathematically well-grounded, and provide some validation experiments. Then we propose a pipeline for the statistical evaluation of local asymmetries within and between populations. Finally we present some results on real data.
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Benoît Combès, Sylvain Prima. New algorithms to map asymmetries of 3D surfaces. 11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'2008), Sep 2008, New-York, United States. pp.17-25, ⟨10.1007/978-3-540-85988-8_3⟩. ⟨inria-00331762⟩

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