Segmentation of fat and muscle from MR images of the thigh by a possibilistic clustering algorithm.
Comput Methods Programs Biomed
; 68(3): 185-93, 2002 Jun.
Article
en En
| MEDLINE
| ID: mdl-12074845
ABSTRACT
Physical training is proved to induce changes in physical capacity and body composition. We propose in this article a fast, unsupervised and fully three-dimensional automatic method to extract muscle and fat volumes from magnetic resonance images of thighs in order to assess these changes. The technique relies on the use of a fuzzy clustering algorithm and post-processings to accurately process the body composition of thighs. Results are compared on 11 healthy voluntary elderly people with those provided on the same data by a validated method already published, and its reliability is assessed on repeated measures on three subjects. The two methods statistically agree when computing muscle and fat volumes, and clinical implications of this fully automatic method are important for medicine, physical conditioning, weight-loss programs and predictions of optimal body weight.
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Bases de datos:
MEDLINE
Asunto principal:
Muslo
/
Algoritmos
/
Grasas
/
Músculos
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Comput Methods Programs Biomed
Asunto de la revista:
INFORMATICA MEDICA
Año:
2002
Tipo del documento:
Article
País de afiliación:
Francia