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.
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Communication dans un congrès
15th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2012, Nice, France. 7512, pp.313-320, 2012, LNCS
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  • HAL Id : inserm-00716110, version 1

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Maxime Taquet, Benoit Scherrer, Olivier Commowick, Jurriaan Peters, Mustafa Sahin, et al.. Registration and Analysis of White Matter Group Differences with a Multi-Fiber Model. 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2012, Nice, France. 7512, pp.313-320, 2012, LNCS. 〈inserm-00716110〉

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