Automated Method for Growing Rod Length Measurement on Ultrasound Images in Children With Early Onset Scoliosis.

Journal: Ultrasound in medicine & biology
Published Date: Aug 10, 2024

Abstract

OBJECTIVE: To develop and validate machine learning algorithms to automatically extract the rod length of the magnetically controlled growing rod from ultrasound images (US) in a pilot study.

Authors

  • Mohammad Humayun Kabir
    Department of Electrical and Computer Engineering, University of Alberta, 11-263 Donadeo Innovation Centre for Engineering, 9211-116 St, Edmonton, AB, T6G 1H9, Canada.
  • Marek Reformat
    Department of Electrical and Computer Engineering, University of Alberta, Donadeo Innovation Centre for Engineering, 9211-116 Street, Edmonton, AB T6G 1H9, Canada; Information Technology Institute, University of Social Sciences, 90-113 Lodz, Poland.
  • Sarah Southon Hryniuk
    Department of Surgery, University of Alberta, Edmonton, AB, Canada.
  • Kyle Stampe
    Department of Electrical and Computer Engineering, University of Alberta, 11-263 Donadeo Innovation Centre for Engineering, 9211-116 St, Edmonton, AB, T6G 1H9, Canada.
  • Edmond Lou
    Department of Surgery, University of Alberta.

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