Comparing fully automated AI body composition measures derived from thin and thick slice CT image data.

Matthew H LeeDaniel LiuJohn W GarrettAlberto PerezRyan ZeaRonald M SummersPerry J Pickhardt

Published in: Abdominal radiology (New York) (2023)

Automated body composition measures derived from thin and thick abdominal CT data are strongly correlated and show agreement, particularly for soft tissue applications, making it feasible to use either series for these CT-based body composition algorithms.

Keyphrases

body composition
image quality
deep learning
resistance training
machine learning
dual energy
computed tomography
bone mineral density
contrast enhanced
soft tissue
artificial intelligence
electronic health record
high throughput
positron emission tomography
magnetic resonance imaging