Registration and Analysis of White Matter Group Differences with a Multi-Fiber Model

Maxime Taquet; Benoit Scherrer; Olivier Commowick; Jurriaan Peters; Mustafa Sahin; Benoît Macq; Simon Warfield

Registration and Analysis of White Matter Group Differences with a Multi-Fiber Model

Maxime Taquet ^{1, 2, *} Benoit Scherrer ¹ Olivier Commowick ³ Jurriaan Peters ^{4, 1} Mustafa Sahin ⁴ Benoît Macq ² Simon Warfield ¹

* Corresponding author

1 CRL - Computational Radiology Laboratory [Boston]

2 ICTEAM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics

3 VisAGeS - Vision, Action et Gestion d'informations en Santé

INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE

4 Department of Neurology, Children's Hospital [Boston]

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.

keyword : Di usion Imaging Multi-Fiber Models Registration White Matter

Document type :

Conference papers

Domain :

Life Sciences [q-bio] / Bioengineering

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https://www.hal.inserm.fr/inserm-00716110
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