Segmentation of fat and muscle from MR images of the thigh by a possibilistic clustering algorithm
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 techn...
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| Veröffentlicht in: | Computer methods and programs in biomedicine 2002-06, Vol.68 (3), p.185-193 |
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| creator | Barra, Vincent Boire, Jean-Yves |
| description | 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 trustfully 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. |
| doi_str_mv | 10.1016/S0169-2607(01)00172-9 |
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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 trustfully 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. 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| ispartof | Computer methods and programs in biomedicine, 2002-06, Vol.68 (3), p.185-193 |
| issn | 0169-2607 1872-7565 |
| language | eng |
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| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Algorithms Biological and medical sciences Body composition Computer Science Computerized, statistical medical data processing and models in biomedicine Fats - analysis Female Fuzzy clustering General aspects. Methods Humans Machine Learning Magnetic Resonance Imaging - methods Male Medical sciences Middle Aged MR imaging Muscles - diagnostic imaging Physical training Radiography Reproducibility of Results Signal and Image Processing Thigh - diagnostic imaging |
| title | Segmentation of fat and muscle from MR images of the thigh by a possibilistic clustering algorithm |
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