MR diffusion-based inference of a fiber bundle model from a population of subjects. - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Année : 2005

MR diffusion-based inference of a fiber bundle model from a population of subjects.

Résumé

This paper proposes a method to infer a high level model of the white matter organization from a population of subjects using MR diffusion imaging. This method takes as input for each subject a set of trajectories stemming from any tracking algorithm. Then the inference results from two nested clustering stages. The first clustering converts each individual set of trajectories into a set of bundles supposed to represent large white matter pathways. The second clustering matches these bundles across subjects in order to provide a list of candidates for the bundle model. The method is applied on a population of eleven subjects and leads to the inference of 17 such candidates.

Domaines

Imagerie
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Dates et versions

hal-00349662 , version 1 (03-01-2009)

Identifiants

  • HAL Id : hal-00349662 , version 1
  • PUBMED : 16685846

Citer

V. El Kouby, Y. Cointepas, C. Poupon, D. Rivière, N. Golestani, et al.. MR diffusion-based inference of a fiber bundle model from a population of subjects.. Medical image computing and computer-assisted intervention : MICCAI .. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2005, 8 (Pt 1), pp.196-204. ⟨hal-00349662⟩
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