An automatic extraction method on medical feature points based on PointNet++ for robot-assisted knee arthroplasty.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS
Published Date: Oct 6, 2022

Abstract

BACKGROUND: Image registration is a crucial technology in robot-assisted knee arthroplasty, which provides real-time patient information by registering the pre-operative image data with data acquired during the operation. The existing registration method requires surgeons to manually pick up medical feature points (i.e. anatomical points) in pre-operative images, which is time-consuming and relied on surgeons experience. Moreover, different doctors have different preferences in preoperative planning, which may influence the consistency of surgical results.

Authors

  • Weiya Wang
    School of Electrical Engineering & Automation, Jiangsu Normal University, Xuzhou, Jiangsu, China.
  • Haifeng Zhou
    Department of Mechanical and Electrical Engineering, Soochow University, Suzhou, Jiangsu, China.
  • Yuxin Yan
    Ningbo Huamei Hospital, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China.
  • Xiao Cheng
    Applied Technology College of Soochow University, Suzhou 215325, People's Republic of China.
  • Peng Yang
  • Liangzhi Gan
    School of Electrical Engineering & Automation, Jiangsu Normal University, Xuzhou, Jiangsu, China.
  • Shaolong Kuang
    Robotics and Micro-Systems Center, Soochow University, Suzhou City, Jiangsu Province, People's Republic of China. slkuang@suda.edu.cn.

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