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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Wolters Kluwer Medknow Publications
2018-01-01
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doaj-e9da80627ed84552a46788d1357a68352020-11-25T03:19:01ZengWolters Kluwer Medknow PublicationsNeural Regeneration Research1673-53742018-01-0113101787179510.4103/1673-5374.238623Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injuryMina P GhatasRobert M LesterM Rehan KhanAshraf S GorgeyMagnetic 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 years old) with traumatic motor-complete spinal cord injury were analyzed in a blinded fashion using the threshold technique. The cross-sectional area values acquired by thresholding were compared to the manual tracing technique. The percentage errors for thigh circumference were (threshold: 170.71 ± 38.67; manual: 169.45 ± 38.27 cm2) 0.74%, subcutaneous adipose tissue (threshold: 65.99±30.79; manual: 62.68 ± 30.22) 5.2%, whole muscle (threshold: 98.18 ± 20.19; manual: 98.20 ± 20.08 cm2) 0.13%, femoral bone (threshold: 6.53 ± 1.09; manual: 6.53 ± 1.09 cm2) 0.64%, bone marrow fat (threshold: 3.12 ± 1.12; manual: 3.1 ± 1.11 cm2) 0.36%, knee extensor (threshold: 43.98 ± 7.66; manual: 44.61 ± 7.81 cm2) 1.78% and % intramuscular fat (threshold: 10.45 ± 4.29; manual: 10.92 ± 8.35%) 0.47%. Collectively, these results suggest that the threshold technique provided a robust accuracy in measuring the seven main thigh compartments, while greatly reducing the analysis time.http://www.nrronline.org/article.asp?issn=1673-5374;year=2018;volume=13;issue=10;spage=1787;epage=1795;aulast=Ghatasspinal cord injury; magnetic resonance imaging; semi-automated segmentation; subcutaneous adipose tissue; intramuscular fat |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mina P Ghatas Robert M Lester M Rehan Khan Ashraf S Gorgey |
spellingShingle |
Mina P Ghatas Robert M Lester M Rehan Khan Ashraf S Gorgey Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury Neural Regeneration Research spinal cord injury; magnetic resonance imaging; semi-automated segmentation; subcutaneous adipose tissue; intramuscular fat |
author_facet |
Mina P Ghatas Robert M Lester M Rehan Khan Ashraf S Gorgey |
author_sort |
Mina P Ghatas |
title |
Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury |
title_short |
Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury |
title_full |
Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury |
title_fullStr |
Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury |
title_full_unstemmed |
Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury |
title_sort |
semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury |
publisher |
Wolters Kluwer Medknow Publications |
series |
Neural Regeneration Research |
issn |
1673-5374 |
publishDate |
2018-01-01 |
description |
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 years old) with traumatic motor-complete spinal cord injury were analyzed in a blinded fashion using the threshold technique. The cross-sectional area values acquired by thresholding were compared to the manual tracing technique. The percentage errors for thigh circumference were (threshold: 170.71 ± 38.67; manual: 169.45 ± 38.27 cm2) 0.74%, subcutaneous adipose tissue (threshold: 65.99±30.79; manual: 62.68 ± 30.22) 5.2%, whole muscle (threshold: 98.18 ± 20.19; manual: 98.20 ± 20.08 cm2) 0.13%, femoral bone (threshold: 6.53 ± 1.09; manual: 6.53 ± 1.09 cm2) 0.64%, bone marrow fat (threshold: 3.12 ± 1.12; manual: 3.1 ± 1.11 cm2) 0.36%, knee extensor (threshold: 43.98 ± 7.66; manual: 44.61 ± 7.81 cm2) 1.78% and % intramuscular fat (threshold: 10.45 ± 4.29; manual: 10.92 ± 8.35%) 0.47%. Collectively, these results suggest that the threshold technique provided a robust accuracy in measuring the seven main thigh compartments, while greatly reducing the analysis time. |
topic |
spinal cord injury; magnetic resonance imaging; semi-automated segmentation; subcutaneous adipose tissue; intramuscular fat |
url |
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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