International Journal of Biomedical Imaging
Volume 2008 (2008), Article ID 368406, 18 pages
doi:10.1155/2008/368406
Research Article

Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging

1NeuroSpin Institut d'Imagerie BioMédicale, Commissariat l'Energie Atomique (CEA), Gif-sur-Yvette 91191, France
2Institut Fédératif de Recherche 49, Gif-sur-Yvette 91191, France
3GE Healthcare, 11 avenue Morane Saulnier, Vélizy 78457, France
4Inserm U.797, CEA-INSERM Research Unit “Neuroimaging & Psychiatry”, Service Hospitalier Frédéric Joliot, Orsay, Orsay Cedex 91401, France
5Parietal Project, INRIA Futurs, NeuroSpin, Gif-sur-Yvette 91191, France
6Service de Biophysique et Médecine Nucléaire, Hopital de Hautepierre, 1 ave Molière, Strasbourg 6708, France

Received 1 September 2007; Revised 30 November 2007; Accepted 16 December 2007

Academic Editor: Habib Benali

Copyright © 2008 Muriel Perrin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper exploits the idea that each individual brain region has a specific connection profile to create parcellations of the cortical mantle using MR diffusion imaging. The parcellation is performed in two steps. First, the cortical mantle is split at a macroscopic level into 36 large gyri using a sulcus recognition system. Then, for each voxel of the cortex, a connection profile is computed using a probabilistic tractography framework. The tractography is performed from q-ball fields using regularized particle trajectories. Fiber ODF are inferred from the q-balls using a sharpening process focusing the weight around the q-ball local maxima. A sophisticated mask of propagation computed from a T1-weighted image perfectly aligned with the diffusion data prevents the particles from crossing the cortical folds. During propagation, the particles father child particles in order to improve the sampling of the long fascicles. For each voxel, intersection of the particle trajectories with the gyri lead to a connectivity profile made up of only 36 connection strengths. These profiles are clustered on a gyrus by gyrus basis using a K-means approach including spatial regularization. The reproducibility of the results is studied for three subjects using spatial normalization.