Segmentation of fascias, fat and muscle from magnetic resonance images in humans: the DISPIMAG software.
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.
Mattei
J P
JP
CRMBM - UMR CNRS 6612 Faculté de Médecine, Université de la Méditerranée, 27, Bd Jean Moulin, 13385, Marseille Cedex 5, France. matteijp@club-internet.fr
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Cozzone
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Bendahan
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D000273:Adipose Tissue / Q000473:pathology*; D000704:Analysis of Variance; D005205:Fascia / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009132:Muscles / Q000473:pathology*; D012984:Software