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.

Journal: BMJ open
PMID:

Abstract

OBJECTIVES: We aimed to develop an automated method for measuring the volume of the psoas muscle using CT to aid sarcopenia research efficiently.

Authors

  • Woorim Choi
    Biomedical Research Center, Asan Medical Center, Songpa-gu, Seoul, Republic of Korea.
  • Chul-Ho Kim
    Department of Otolaryngology, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, 16499, Republic of Korea. ostium@ajou.ac.kr.
  • Hyein Yoo
    Biomedical Research Center, Asan Medical Center, Songpa-gu, Seoul, Republic of Korea.
  • Hee Rim Yun
    Department of Software Convergence, Seoul Women's University, 621 Hwarang-ro, Nowon-gu, Seoul, Republic of Korea.
  • Da-Wit Kim
    Coreline Soft Co., Ltd, Mapo-gu, Seoul, Republic of Korea.
  • Ji Wan Kim
    Department of Orthopedic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Songpa-gu, Seoul, Republic of Korea bakpaker@hanmail.net.