Automatic tip detection of surgical instruments in biportal endoscopic spine surgery.

Journal: Computers in biology and medicine
Published Date: Apr 14, 2021

Abstract

BACKGROUND: Recent advances in robotics and deep learning can be used in endoscopic surgeries and can provide numerous advantages by freeing one of the surgeon's hands. This study aims to automatically detect the tip of the instrument, localize a point, and evaluate the detection accuracy in biportal endoscopic spine surgery (BESS). The tip detection could serve as a preliminary study for the development of vision intelligence in robotic endoscopy.

Authors

  • Sue Min Cho
    Department of Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.
  • Young-Gon Kim
    Department of Biomedical Engineering, Asan Institute of Life Science, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, South Korea.
  • Jinhoon Jeong
    From the Departments of Neurology (K.W.P., E.-J.L., S.J., M.J., J.Y.D., D.-W.K., S.J.C.) and Convergence Medicine (J.S.L., J.J., J.-G.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul; Electronics and Telecommunications Research Institute (J.S.L.), Gwangju; Promedius Inc (J.J.), Seoul; and Department of Neurology (N.C.), Heavenly Hospital, Goyang, Korea.
  • Inhwan Kim
    Department of computer science, Sangmyung University, Seoul, South Korea.
  • Ho-Jin Lee
  • Namkug Kim
    Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

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