Skip to Main content Skip to Navigation
Conference papers

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
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.
Complete list of metadatas

https://www.hal.inserm.fr/inserm-00773104
Contributor : Isabelle Corouge <>
Submitted on : Friday, January 11, 2013 - 3:53:04 PM
Last modification on : Friday, July 10, 2020 - 4:06:13 PM

Links full text

Identifiers

Citation

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, ⟨10.1007/3-540-45468-3_113⟩. ⟨inserm-00773104⟩

Share

Metrics

Record views

304