Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study.

Benjamin HouTejas Sudharshan MathaiJianfei LiuChristopher ParnellRonald M Summers

Published in: International journal of computer assisted radiology and surgery (2024)

Our findings indicated that our Internal tool outperformed TotalSegmentator in measuring subcutaneous fat and muscle. The high Cohen's Kappa score for visceral fat suggests a reliable level of agreement between the two tools. These results demonstrate the potential of our tool in advancing the accuracy of body composition analysis.

Keyphrases

body composition
resistance training
bone mineral density
adipose tissue
skeletal muscle
fatty acid
magnetic resonance imaging
computed tomography
deep learning
machine learning
metabolic syndrome
climate change
convolutional neural network
human health
dual energy