Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury

Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury

Magnetic resonance imaging is considered the “gold standard” technique for quantifying thigh muscle and fat cross-sectional area. We have developed a semi-automated technique to segment seven thigh compartments in persons with spinal cord injury. Thigh magnetic resonance images from 18 men (18–50 ye...

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Bibliographic Details
Main Authors: Mina P Ghatas, Robert M Lester, M Rehan Khan, Ashraf S Gorgey
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2018-01-01
Series:Neural Regeneration Research
Subjects:
spinal cord injury; magnetic resonance imaging; semi-automated segmentation; subcutaneous adipose tissue; intramuscular fat
Online Access:http://www.nrronline.org/article.asp?issn=1673-5374;year=2018;volume=13;issue=10;spage=1787;epage=1795;aulast=Ghatas

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http://www.nrronline.org/article.asp?issn=1673-5374;year=2018;volume=13;issue=10;spage=1787;epage=1795;aulast=Ghatas

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