MR diffusion-based inference of a fiber bundle model from a population of subjects.
Med Image Comput Comput Assist Interv
; 8(Pt 1): 196-204, 2005.
Article
en En
| MEDLINE
| ID: mdl-16685846
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.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Encéfalo
/
Reconocimiento de Normas Patrones Automatizadas
/
Inteligencia Artificial
/
Interpretación de Imagen Asistida por Computador
/
Aumento de la Imagen
/
Imagen de Difusión por Resonancia Magnética
/
Fibras Nerviosas Mielínicas
Tipo de estudio:
Diagnostic_studies
/
Evaluation_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Med Image Comput Comput Assist Interv
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
Año:
2005
Tipo del documento:
Article
País de afiliación:
Francia