A supervised patch-based approach for human brain labeling.
IEEE Trans Med Imaging
; 30(10): 1852-62, 2011 Oct.
Article
em En
| MEDLINE
| ID: mdl-21606021
ABSTRACT
We propose in this work a patch-based image labeling method relying on a label propagation framework. Based on image intensity similarities between the input image and an anatomy textbook, an original strategy which does not require any nonrigid registration is presented. Following recent developments in nonlocal image denoising, the similarity between images is represented by a weighted graph computed from an intensity-based distance between patches. Experiments on simulated and in vivo magnetic resonance images show that the proposed method is very successful in providing automated human brain labeling.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
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Encéfalo
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Imageamento por Ressonância Magnética
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Neuroimagem
Limite:
Adult
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Female
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Humans
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Male
Idioma:
En
Revista:
IEEE Trans Med Imaging
Ano de publicação:
2011
Tipo de documento:
Article
País de afiliação:
França