DocumentCode :
307574
Title :
Automatic muscle/fat quantification on MR images
Author :
Colin, A. ; Erbland, E. ; Datin, C. ; Boire, J.-Y. ; Veyre, A. ; Zanca, M.
Author_Institution :
Inst. Nat. de la Sante et de la Recherche Med., Clermont-Ferrand, France
Volume :
1
fYear :
1995
fDate :
20-25 Sep 1995
Firstpage :
479
Abstract :
A fully automatic method for the segmentation of muscle, subcutaneous and inter-muscular fat from MR images of the thigh is presented. The process is rather robust, able to recognize men from women and thus to characterize patients affected by Gushing´s disease
Keywords :
biomedical NMR; image segmentation; medical image processing; muscle; Gushing´s disease; MRI segmentation; automatic muscle/fat quantification; fully automatic method; intermuscular fat; magnetic resonance imaging; medical diagnostic imaging; men; patients characterization; subcutaneous fat; women; Bones; Diseases; Filters; Histograms; Image sampling; Image segmentation; Magnetic resonance imaging; Muscles; Pixel; Thigh;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
Type :
conf
DOI :
10.1109/IEMBS.1995.575209
Filename :
575209
Link To Document :
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