Anatomically constrained surface parameterization for cortical localization

  • Authors:
  • C. Clouchoux;O. Coulon;D. Rivière;A. Cachia;J.-F. Mangin;J. Régis

  • Affiliations:
  • Laboratoire LSIS, UMR 6168, CNRS, Marseille, France;Laboratoire LSIS, UMR 6168, CNRS, Marseille, France;Equipe UNAF, SHFJ, CEA/DSV, Orsay, France;Equipe UNAF, SHFJ, CEA/DSV, Orsay, France;Equipe UNAF, SHFJ, CEA/DSV, Orsay, France;Service de Neurochirurgie Fonctionnelle et Stéréotaxique, Marseille, France

  • Venue:
  • MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
  • Year:
  • 2005

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Abstract

We present here a method that aims at defining a surfacebased coordinate system on the cortical surface. Such a system is needed for both cortical localization and intersubject matching in the framework of neuroimaging. We propose an automatic parameterization based on the spherical topology of the grey/white matter interface of each hemisphere and on the use of naturally organized and reproducible anatomical features. From those markers used as initial constraints, the coordinate system is propagated via a PDE solved on the cortical surface.