CLARCS, a C++ Library for Automated Registration and Comparison of Surfaces: Medical Applications

Alexandre Abadie 1 Benoît Combès 1 Claire Haegelen 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 present the methods implemented in the CLARCS (C++ Library for Automated Registration and Comparison of Surfaces) library. This library allows some basic and high level processing on free-form surfaces, represented as point sets or meshes. Three methods are the "building bricks" of CLARCS; they allow (i) the rigid/affine/non-linear registration of two point sets, (ii) the computation of the mid-sagittal plane of one point set, (iii) the computation of a mean point set from several point sets, and the variability around this mean. These methods are all based on a common methodological framework, in which the point sets/meshes are represented either as a Gaussian mixture model or as a draw of such a model. We propose some applications of the methods implemented in CLARCS on different sets of medical data.
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Alexandre Abadie, Benoît Combès, Claire Haegelen, Sylvain Prima. CLARCS, a C++ Library for Automated Registration and Comparison of Surfaces: Medical Applications. MICCAI Workshop on Mesh Processing in Medical Image Analysis (MeshMed'2011), Sep 2011, Toronto, Canada. pp.117-126. ⟨inria-00626270⟩

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