title: MR diffusion-based inference of a fiber bundle model from a population of subjects.
abstract: 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.
authors: Service Hospitalier Frederic Joliot, CEA, 91401 Orsay, France. elkouby@shfj.cea.fr
authors: V
authors: V
authors: El Kouby
authors: Y
authors: Y
authors: Cointepas
authors: C
authors: C
authors: Poupon
authors: D
authors: D
authors: Rivière
authors: N
authors: N
authors: Golestani
authors: J B
authors: JB
authors: Poline
authors: D
authors: D
authors: Le Bihan
authors: J F
authors: JF
authors: Mangin