Automatic measurement of lower limb alignment in portable devices based on deep learning for knee osteoarthritis.

Journal: Journal of orthopaedic surgery and research
PMID: 38594698

Abstract

BACKGROUND: For knee osteoarthritis patients, analyzing alignment of lower limbs is essential for therapy, which is currently measured from standing long-leg radiographs of anteroposterior X-ray (LLR) manually. To address the time wasting, poor reproducibility and inconvenience of use caused by existing methods, we present an automated measurement model in portable devices for assessing knee alignment from LLRs.

Authors

  • Jianfeng Yang
    Department of Surgery, ShangNan Branch of Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Peng Ren
  • Peng Xin
    Key Laboratory of Intelligent Industrial Equipment Technology of Hebei Province, School of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, China.
  • Yiming Wang
    Teaching Resource Information Service Center, Changchun Institute of Education, Changchun, China.
  • Yonglei Ma
    Department of Anesthesiology, Guangzhou First People's Hospital, Guangzhou, China.
  • Wei Liu
    Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Guoqiang Zhang
    Department of Orthopeadics, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.

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