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Registration and Analysis of White Matter Group Differences with a Multi-Fiber Model
Abstract : iffusion magnetic resonance imaging has been used exten- sively to probe the white matter in vivo. Typically, the raw diffusion images are used to reconstruct a diffusion tensor image (DTI). The incapacity of DTI to represent crossing fibers leaded to the development of more sophisticated diffusion models. Among them, multi-fiber models represent each fiber bundle independently, allowing the direct extraction of diffusion features for population analysis. However, no method exists to properly register multi-fiber models, seriously limiting their use in group comparisons. This paper presents a registration and atlas construction method for multi-fiber models. The validity of the registration is demonstrated on a dataset of 45 subjects, including both healthy and unhealthy subjects. Morphometry analysis and tract-based statistics are then carried out, proving that multi-fiber models registration is better at detecting white matter local differences than single tensor registration.
Cited literature [15 references]
https://www.hal.inserm.fr/inserm-00716110
Contributor : Olivier Commowick <>
Submitted on : Sunday, October 14, 2012 - 5:30:21 PM
Last modification on : Wednesday, December 18, 2019 - 5:29:30 PM
Document(s) archivé(s) le : Tuesday, January 15, 2013 - 2:35:08 AM
Contributor : Olivier Commowick <>
Submitted on : Sunday, October 14, 2012 - 5:30:21 PM
Last modification on : Wednesday, December 18, 2019 - 5:29:30 PM
Document(s) archivé(s) le : Tuesday, January 15, 2013 - 2:35:08 AM
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