Automatic and accurate needle detection in 2D ultrasound during robot-assisted needle insertion process.

Journal: International journal of computer assisted radiology and surgery
Published Date: Oct 22, 2021

Abstract

PURPOSE: Robot-assisted needle insertion guided by 2D ultrasound (US) can effectively improve the accuracy and success rate of clinical puncture. To this end, automatic and accurate needle-tracking methods are important for monitoring puncture processes, avoiding the needle deviating from the intended path, and reducing the risk of injury to surrounding tissues. This work aims to develop a framework for automatic and accurate detection of an inserted needle in 2D US image during the insertion process.

Authors

  • Shihang Chen
    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Yanping Lin
    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China. yanping_lin@sjtu.edu.cn.
  • Zhaojun Li
    School of Information Management, Dezhou University, Shandong, 253023, China.
  • Fang Wang
    Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan, China.
  • Qixin Cao
    Research Institute of Robotics, Shanghai Jiao Tong University, No. 800 Dong Chuan Road, Shanghai 200240, China.

Keywords

External Resources

Popular Topics
Recent Journals