| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 723330 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
In this paper, we present an automatic and reliable segmentation to quantify intra-abdominal to subcutaneous adipose tissue ratio, in metabolic syndrome diagnosis. We use dual echo Magnetic Resonance (MR) images acquired in phase and out of phase. The segmentation is provided by two fuzzy algorithms: fuzzy generalized clustering and fuzzy connectedness algorithm. A result validation is performed with a comparison of expert results with purpose-made software results.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Vincent Roullier, Christine Cavaro-Ménard, Christophe Aubé, Guillaume Calmon,