Development and validation of a reliable method for automated measurements of psoas muscle volume in CT scans using deep learning-based segmentation: a cross-sectional study
Woorim Choi,
Chul-Ho Kim,
Hyein Yoo
et al.
Abstract:ObjectivesWe aimed to develop an automated method for measuring the volume of the psoas muscle using CT to aid sarcopenia research efficiently.MethodsWe used a data set comprising the CT scans of 520 participants who underwent health check-ups at a health promotion centre. We developed a psoas muscle segmentation model using deep learning in a three-step process based on the nnU-Net method. The automated segmentation method was evaluated for accuracy, reliability, and time required for the measurement.ResultsT… Show more
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