title: Model-driven harmonic parameterization of the cortical surface.
abstract: In the context of inter-subject brain surface matching, we present a parameterization of the cortical surface constrained by a model of cortical organization. The parameterization is defined via an harmonic mapping of each hemisphere surface to a rectangular planar domain that integrates a representation of the model. As opposed to previous conformal mapping methods we do not match folds between individuals but instead optimize the fit between cortical sulci and specific iso-coordinate axis in the model. Experiments on both hemispheres of 34 subjects are presented and results are very promising.
authors: LSIS Lab, UMR CNRS 6168, Marseille, France.
authors: Guillaume
authors: G
authors: Auzias
authors: Julien
authors: J
authors: Lefèvre
authors: Arnaud
authors: A
authors: Le Troter
authors: Clara
authors: C
authors: Fischer
authors: Matthieu
authors: M
authors: Perrot
authors: Jean
authors: J
authors: Régis
authors: Olivier
authors: O
authors: Coulon
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods*; D002540:Cerebral Cortex / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008953:Models, Anatomic; D010363:Pattern Recognition, Automated / Q000379:methods; D012984:Software