Statistical modeling of pairs of sulci in the context of neuroimaging probabilistic atlas

Isabelle Corouge 1 Christian Barillot 1
1 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : In the context of neuroimaging probabilistic atlases, we propose a statistical framework to model the inter-individual variability of pairs of sulci with respect to their relative position and orientation. The approach extends previous work [3], and relies on the statistical analysis of a training set. We first define an appropriate data representation, through an observation vector, in order to build a consistent training population, on which we then apply a normed principal components analysis (normed-PCA). Experiments have been performed on pairs of major sulci extracted from 18 MR images.
Type de document :
Communication dans un congrès
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2002, Japan. pp.655-662, 2002, Lecture Notes in Computer Science. 〈10.1007/3-540-45787-9_82〉
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http://www.hal.inserm.fr/inserm-00773046
Contributeur : Isabelle Corouge <>
Soumis le : vendredi 11 janvier 2013 - 15:22:38
Dernière modification le : mercredi 16 mai 2018 - 11:23:06

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Isabelle Corouge, Christian Barillot. Statistical modeling of pairs of sulci in the context of neuroimaging probabilistic atlas. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2002, Japan. pp.655-662, 2002, Lecture Notes in Computer Science. 〈10.1007/3-540-45787-9_82〉. 〈inserm-00773046〉

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