Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
Journal of Mathematical Imaging and Vision - Special issue on mathematical imaging
Shape Bottlenecks and Conservative Flow Systems
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Surface-Based Structural Group Analysis of fMRI Data
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
A new cortical surface parcellation model and its automatic implementation
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Anatomically informed convolution kernels for the projection of fMRI data on the cortical surface
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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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.