Model-driven harmonic parameterization of the cortical surface

  • Authors:
  • Guillaume Auzias;Julien Lefèvre;Arnaud Le Troter;Clara Fischer;Matthieu Perrot;Jean Régis;Olivier Coulon

  • Affiliations:
  • LSIS Lab, UMR CNRS 6168, Marseille, France;LSIS Lab, UMR CNRS 6168, Marseille, France and Université de la Méditerranée, Marseille, France;LSIS Lab, UMR CNRS 6168, Marseille, France;Neurospin center, CEA, Gif-sur-Yvette, France;Neurospin center, CEA, Gif-sur-Yvette, France;INSERM U751, Marseille, France;LSIS Lab, UMR CNRS 6168, Marseille, France

  • Venue:
  • MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
  • Year:
  • 2011

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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.