Automatic assessment of lower limb deformities using high-resolution X-ray images.

Journal: BMC musculoskeletal disorders
Published Date: May 27, 2025

Abstract

BACKGROUND: Planning an osteotomy or arthroplasty surgery on a lower limb requires prior classification/identification of its deformities. The detection of skeletal landmarks and the calculation of angles required to identify the deformities are traditionally done manually, with measurement accuracy relying considerably on the experience of the individual doing the measurements. We propose a novel, image pyramid-based approach to skeletal landmark detection.

Authors

  • Reyhaneh Rostamian
    School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Masoud Shariat Panahi
    School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran. mshariatp@ut.ac.ir.
  • Morad Karimpour
    School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Alireza Almasi Nokiani
    Firoozabadi Clinical Research Development Unit (FACRDU), Iran University of Medical Sciences (lUMS), Tehran, Iran.
  • Ramin Jafarzadeh Khaledi
    Rad Radiology and Sonography Clinic, Tehran, Iran.
  • Hadi Ghattan Kashani
    School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.

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