Interindividual correspondances: two complementary strategies to integrate the sulcal information

old_uid10149
titleInterindividual correspondances: two complementary strategies to integrate the sulcal information
start_date2011/09/09
schedule11h
onlineno
location_infoCampus du CNRS, salle Georges Morin
detailsInvité par Sylvain Takerkart
summaryBrain mapping group investigations require to define correspondances across subjects. The integration of the information from the sulci into the interindividual registration procedure is a tricky problem that can be addressed through different strategies. We present two separate methods that rely on distinct assumptions regarding variability and stability of the cortical folds between individuals: -We proposed in [1] a 3D geometric approach that consists in matching a series of cortical ribbons through diffeomorphic registration of their sulcal imprints. The DIffeomorphic Sulcal- based COrtical registration (DISCO) combines the benefits from two recent technical outcomes to achieve an automatic brain normalization guided by exhaustive sulcal landmarks. -Finding interindividual cortical correspondances can also be treated as a 2D problem of surface parameterization. In this context, the idea of an intrinsic organization of the cortical surface around which variability occurs has arisen, and a model of such organization can be used to perform cortical localization and implicitly solve the problem of inter-subject cortical surface matching [2]. The method proposed in [3] defines a theoretically sound implementation of the cortical model presented in [2] by aligning sulcal landmarks onto specific axes of a rectangular domain instead of trying to match landmarks between subjects, with promising results. [1] Auzias G, Colliot O, Glaunes JA, Perrot M, Mangin JF, Trouve A, Baillet S (2011) Diffeomorphic brain registration under exhaustive sulcal constraints. IEEE Trans Med Imaging 30(6):1214-27. Epub 2011 Jan 28. [2] Clouchoux C, Rivière D, Mangin J-F, Operto G, Régis J, Coulon O (2010) Model-driven parameterization of the cortical surface for localization and inter-subject matching. NeuroImage 50: 552-566. [3] Auzias G, Lefèvre J, Le Troter A, Fischer C, Perrot M, Régis J, Coulon O (2011 in press) Model- driven Harmonic Parameterization of the Cortical Surface. Proc of MICCAI 2011.
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