Tissue Recognition Based on Electrical Impedance Classified by Support Vector Machine in Spinal Operation Area.

Journal: Orthopaedic surgery
Published Date:

Abstract

OBJECTIVE: One of the major difficulties in spinal surgery is the injury of important tissues caused by tissue misclassification, which is the source of surgical complications. Accurate recognization of the tissues is the key to increase safety and effect as well as to reduce the complications of spinal surgery. The study aimed at tissue recognition in the spinal operation area based on electrical impedance and the boundaries of electrical impedance between cortical bone, cancellous bone, spinal cord, muscle, and nucleus pulposus.

Authors

  • Bingrong Chen
    Department of Orthopaedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Yongwang Shi
    MD Program, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Jiahao Li
  • Jiliang Zhai
    Department of Orthopaedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Liang Liu
    College of Cybersecurity, Sichuan University, Chengdu, China.
  • Wenyong Liu
    c School of Biological Science and Medical Engineering , Beihang University , Beijing , China.
  • Lei Hu
    a School of Mechanical Engineering and Automation , Beihang University , Beijing , China.
  • Yu Zhao
    College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.