Abstract : We develop an algorithm for brain connectivity assessment using geodesics in HARDI (high angular resolution diffusion imaging). We propose to recast the problem of finding fibers bundles and connectivity maps to the calculation of shortest paths on a Riemannian manifold defined from fiber ODFs computed from HARDI measurements. Several experiments on real data show that out method is able to segment fibers bundles that are not easily recovered by other existing methods.
https://hal-enpc.archives-ouvertes.fr/hal-00834865
Contributeur : Pascal Monasse
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Soumis le : lundi 17 juin 2013 - 15:06:47
Dernière modification le : jeudi 7 mars 2019 - 15:34:12
Document(s) archivé(s) le : mercredi 18 septembre 2013 - 04:13:51
Mickaël Péchaud, Renaud Keriven, Maxime Descoteaux. Brain connectivity using geodesics in HARDI. MICCAI, Sep 2009, Londres, United Kingdom. pp.482-489. ⟨hal-00834865⟩
