Non-linear local registration of functional data

Isabelle Corouge 1 Christian Barillot 1 Pierre Hellier 1 Pierre Toulouse 2 Bernard Gibaud 2
1 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 Laboratoire IDM [Rennes]
Abstract : Within the scope of three-dimensional brain imaging we propose an inter-individual fusion scheme to register functional activations relatively to anatomical cortical structures, the sulci. This approach is local and non-linear. It relies on a statistical sulci shape model accounting for the inter-individual variability of a population of subjects, and providing deformation modes relatively to a reference shape (a mean sulcus). The deformation field obtained between a given sulcus and the reference sulcus is extended to a neighborhood of the given sulcus by using the thin-plate spline interpolation. It is then applied to the functional activations associated with this sulcus. This approach is compared with other classical matching methods.
Type de document :
Communication dans un congrès
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2001, Netherlands. pp.948-956, 2001, Lecture Notes in Computer Science. 〈10.1007/3-540-45468-3_113〉
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http://www.hal.inserm.fr/inserm-00773104
Contributeur : Isabelle Corouge <>
Soumis le : vendredi 11 janvier 2013 - 15:53:04
Dernière modification le : mercredi 16 mai 2018 - 11:23:06

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INRIA | IRISA | UR2-HB | UR1-UFR-ISTIC | UNIV-RENNES2 | UNIV-RENNES

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Isabelle Corouge, Christian Barillot, Pierre Hellier, Pierre Toulouse, Bernard Gibaud. Non-linear local registration of functional data. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2001, Netherlands. pp.948-956, 2001, Lecture Notes in Computer Science. 〈10.1007/3-540-45468-3_113〉. 〈inserm-00773104〉

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