Gyral Parcellation of the Cortical Surface Using Geodesic Voronoï Diagrams

Authors:
A. Cachia;Jean-Francois Mangin;Denis Rivière;Dimitri Papadopoulos-Orfanos;Isabelle Bloch;Jean Régis
Affiliations:
-;-;-;-;-;-
Venue:
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Year:
2002

Citing 9
Cited 1

An Efficient Uniform Cost Algorithm Applied to Distance Transforms

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Topological segmentation of discrete surfaces

International Journal of Computer Vision
From 3D magnetic resonance images to structural representations of the cortex topography using topology preserving deformations

Journal of Mathematical Imaging and Vision - Special issue on mathematical imaging
Rigid, affine and locally affine registration of free-form surfaces

International Journal of Computer Vision
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead

IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape versus Size: Improved Understanding of the Morphology of Brain Structures

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic Recognition of Cortical Sulci Using a Congregation of Neural Networks

MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
A Mean Curvature Based Primal Sketch to Study the Cortical Folding Process from Antenatal to Adult Brain

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention

Coordinate-based versus structural approaches to brain image analysis

Artificial Intelligence in Medicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a generic automatic approach for the parcellation of the cortical surface into labelled gyri. These gyri are defined from a set of pairs of sulci selected by the user. The selected sulci are first automatically identified in the data, then projected onto the cortical surface. The parcellation stems from two nested Vorono茂 diagrams computed geodesically to the cortical surface. The first diagram provides the zones of influence of the sulci. The boundary between the two zones of influence of each selected pair of sulcus stands for a gyrus seed. A second diagram yields the gyrus parcellation. The distance underlying the Vorono茂 diagram allows the method to extrapolate the gyrus limits where the sulci are interrupted. The method is applied on three different brains.