Segmentation of fascias, fat and muscle from magnetic resonance images in humans: the DISPIMAG software.
MAGMA
; 19(5): 275-9, 2006 Nov.
Article
em En
| MEDLINE
| ID: mdl-17004065
ABSTRACT
Segmentation of human limb MR images into muscle, fat and fascias remains a cumbersome task. We have developed a new software (DISPIMAG) that allows automatic and highly reproducible segmentation of lower-limb MR images. Based on a pixel intensity analysis, this software does not need any previous mathematical or statistical assumptions. It displays a histogram with two main signals corresponding to fat and muscle, and permits an accurate quantification of their relative spatial distribution. To allow a systematic discrimination between muscle and fat in any subject, fixed boundaries were first determined manually in a group of 24 patients. Secondly, an entirely automatic process using these boundaries was tested by three operators on four patients and compared to the manual approach, showing a high concordance.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
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Imageamento por Ressonância Magnética
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Interpretação de Imagem Assistida por Computador
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Aumento da Imagem
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Tecido Adiposo
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Fáscia
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Músculos
Limite:
Humans
Idioma:
En
Revista:
MAGMA
Ano de publicação:
2006
Tipo de documento:
Article