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A Local Approach for Inter-individual Functional Registration

Abstract : Within the scope of three-dimensional brain imaging, we propose an inter-indiv- idual fusion scheme to register functional activations according to anatomical cortical structures, the sulci. This paper is based on the assumption that an important part of the functional inter-subject variability is encoded in the anatomical variability. Therefore, we aim in this paper at proposing a generic framework to register functional activations according to relevant anatomical landmarks. Compared to «classical» inter-individual fusion schemes, this approach is local. 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 functional activations located in the vicinity of this sulcus. This approach is compared with rigid and non rigid registration methods. We present in this paper results on MEG somatosensory data acquired on 18 subjects. We show that the non-linear local fusion scheme significantly reduces the functional variability after registration.
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Submitted on : Tuesday, May 23, 2006 - 7:57:58 PM
Last modification on : Friday, February 4, 2022 - 3:24:32 AM
Long-term archiving on: : Sunday, April 4, 2010 - 10:56:52 PM


  • HAL Id : inria-00072173, version 1


Isabelle Corouge, Pierre Hellier, Bernard Gibaud, Christian Barillot. A Local Approach for Inter-individual Functional Registration. [Research Report] RR-4415, INRIA. 2002. ⟨inria-00072173⟩



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