Segmentation of fascias, fat and muscle from magnetic resonance images in humans: the DISPIMAG software - Archive ouverte HAL Access content directly
Journal Articles Magnetic Resonance Materials in Physics, Biology and Medicine Year : 2006

Segmentation of fascias, fat and muscle from magnetic resonance images in humans: the DISPIMAG software

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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Dates and versions

hal-00168923 , version 1 (30-08-2007)

Identifiers

  • HAL Id : hal-00168923 , version 1

Cite

J. P. Mattei, Yann Le Fur, N. Cuge, S. Guis, P. Cozzone, et al.. Segmentation of fascias, fat and muscle from magnetic resonance images in humans: the DISPIMAG software. Magnetic Resonance Materials in Physics, Biology and Medicine, 2006, 19 (5), pp.275-279. ⟨hal-00168923⟩
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