Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury
Mina P. Ghatas
Robert M. Lester
M. Rehan Khan
Ashraf S. Gorgey
摘要：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 compart-ments 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.
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资助基金：This study was supported by the Department of Veteran Affairs,Veteran Health Administration,Rehabilitation Research and Development Service(B7867-W)DoD-CDRMP (W81XWH-14-SCIRP-CTA)
论文发表日期：2018-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：9( 1787-1795 )
英文信息