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

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...

Full description

Bibliographic Details
Main Authors: Muriel Perrin, Yann Cointepas, Arnaud Cachia, Cyril Poupon, Bertrand Thirion, Denis Rivière, Pascal Cathier, Vincent El Kouby, André Constantinesco, Denis Le Bihan, Jean-François Mangin
Format: Article
Language:English
Published: Hindawi Limited 2008-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2008/368406
id doaj-2e907a06e93c468097163bb554dbe55e
record_format Article
spelling doaj-2e907a06e93c468097163bb554dbe55e2020-11-24T21:45:39ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962008-01-01200810.1155/2008/368406368406Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion ImagingMuriel Perrin0Yann Cointepas1Arnaud Cachia2Cyril Poupon3Bertrand Thirion4Denis Rivière5Pascal Cathier6Vincent El Kouby7André Constantinesco8Denis Le Bihan9Jean-François Mangin10NeuroSpin Institut d'Imagerie BioMédicale, Commissariat l'Energie Atomique (CEA), Gif-sur-Yvette 91191, FranceNeuroSpin Institut d'Imagerie BioMédicale, Commissariat l'Energie Atomique (CEA), Gif-sur-Yvette 91191, FranceInstitut Fédératif de Recherche 49, Gif-sur-Yvette 91191, FranceNeuroSpin Institut d'Imagerie BioMédicale, Commissariat l'Energie Atomique (CEA), Gif-sur-Yvette 91191, FranceParietal Project, INRIA Futurs, NeuroSpin, Gif-sur-Yvette 91191, FranceNeuroSpin Institut d'Imagerie BioMédicale, Commissariat l'Energie Atomique (CEA), Gif-sur-Yvette 91191, FranceNeuroSpin Institut d'Imagerie BioMédicale, Commissariat l'Energie Atomique (CEA), Gif-sur-Yvette 91191, FranceNeuroSpin Institut d'Imagerie BioMédicale, Commissariat l'Energie Atomique (CEA), Gif-sur-Yvette 91191, FranceService de Biophysique et Médecine Nucléaire, Hopital de Hautepierre, 1 ave Molière, Strasbourg 6708, FranceNeuroSpin Institut d'Imagerie BioMédicale, Commissariat l'Energie Atomique (CEA), Gif-sur-Yvette 91191, FranceNeuroSpin Institut d'Imagerie BioMédicale, Commissariat l'Energie Atomique (CEA), Gif-sur-Yvette 91191, FranceThis 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.http://dx.doi.org/10.1155/2008/368406
collection DOAJ
language English
format Article
sources DOAJ
author Muriel Perrin
Yann Cointepas
Arnaud Cachia
Cyril Poupon
Bertrand Thirion
Denis Rivière
Pascal Cathier
Vincent El Kouby
André Constantinesco
Denis Le Bihan
Jean-François Mangin
spellingShingle Muriel Perrin
Yann Cointepas
Arnaud Cachia
Cyril Poupon
Bertrand Thirion
Denis Rivière
Pascal Cathier
Vincent El Kouby
André Constantinesco
Denis Le Bihan
Jean-François Mangin
Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging
International Journal of Biomedical Imaging
author_facet Muriel Perrin
Yann Cointepas
Arnaud Cachia
Cyril Poupon
Bertrand Thirion
Denis Rivière
Pascal Cathier
Vincent El Kouby
André Constantinesco
Denis Le Bihan
Jean-François Mangin
author_sort Muriel Perrin
title Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging
title_short Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging
title_full Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging
title_fullStr Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging
title_full_unstemmed Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging
title_sort connectivity-based parcellation of the cortical mantle using q-ball diffusion imaging
publisher Hindawi Limited
series International Journal of Biomedical Imaging
issn 1687-4188
1687-4196
publishDate 2008-01-01
description 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.
url http://dx.doi.org/10.1155/2008/368406
work_keys_str_mv AT murielperrin connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT yanncointepas connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT arnaudcachia connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT cyrilpoupon connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT bertrandthirion connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT denisriviere connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT pascalcathier connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT vincentelkouby connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT andreconstantinesco connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT denislebihan connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
AT jeanfrancoismangin connectivitybasedparcellationofthecorticalmantleusingqballdiffusionimaging
_version_ 1725905183876055040