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...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2008-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2008/368406 |
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| _version_ | 1832550750227529728 |
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| 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 |
| 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 |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-2e907a06e93c468097163bb554dbe55e |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-2e907a06e93c468097163bb554dbe55e2025-02-03T06:05:52ZengWileyInternational 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 |
| 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 |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2008/368406 |
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