%0 Conference Proceedings
%F Corouge01d
%A Corouge, I.
%A Barillot, C.
%A Hellier, P.
%A Toulouse, P.
%A Gibaud, B.
%T Non-linear Local Registration of Functional Data
%B Medical Image Computing and Computer Assisted Intervention 2001 (MICCAI'01)
%E Viergever, M.-A.
%E Dohi, T.
%E Vannier, M.
%P 948-956
%S Lecture Notes in Computer Sciences 2208
%I Springer-Verlag
%C Utrecht, The Netherlands
%X 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
%U http://www.irisa.fr/vista/Papers/2001/CorougeMiccai01.pdf
%8 October
%D 2001