Direct segmentation of the major white matter tracts in diffusion tensor images.
Neuroimage
; 58(2): 458-68, 2011 Sep 15.
Article
en En
| MEDLINE
| ID: mdl-21718790
ABSTRACT
Diffusion-weighted images of the human brain are acquired more and more routinely in clinical research settings, yet segmenting and labeling white matter tracts in these images is still challenging. We present in this paper a fully automated method to extract many anatomical tracts at once on diffusion tensor images, based on a Markov random field model and anatomical priors. The approach provides a direct voxel labeling, models explicitly fiber crossings and can handle white matter lesions. Experiments on simulations and repeatability studies show robustness to noise and reproducibility of the algorithm, which has been made publicly available.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
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Encéfalo
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Imagen de Difusión Tensora
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Vías Nerviosas
Tipo de estudio:
Health_economic_evaluation
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Prognostic_studies
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Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Neuroimage
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
Año:
2011
Tipo del documento:
Article
País de afiliación:
Alemania