BPSegSys: A Brachial Plexus Nerve Trunk Segmentation System Using Deep Learning.

Journal: Ultrasound in medicine & biology
PMID: 38176984

Abstract

OBJECTIVE: Ultrasound-guided nerve block anesthesia (UGNB) is a high-tech visual nerve block anesthesia method that can be used to observe the target nerve and its surrounding structures, the puncture needle's advancement and local anesthetics spread in real time. The key in UGNB is nerve identification. With the help of deep learning methods, the automatic identification or segmentation of nerves can be realized, assisting doctors in completing nerve block anesthesia accurately and efficiently.

Authors

  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Binbin Zhu
    Department of Anesthesiology, Affiliated Hospital of Medical School of Ningbo University, Ningbo University, China.
  • Lingsi Kong
    Department of Anesthesiology, Ningbo No. 6 Hospital, Ningbo, China.
  • Jianlin Wang
    First Hospital of Lanzhou University, 1 Donggang W Rd, Chengguan District, Lanzhou, Gansu, 730000, China.
  • Bin Gao
    Institute of Microelectronics, Tsinghua University, Beijing, 10084, China; Center for Brain-Inspired Computing Research, Tsinghua University, Beijing, 10084, China. Electronic address: gaob1@tsinghua.edu.cn.
  • Jianhua Wang
    Gene Engineering Laboratory, Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
  • Dingcheng Tian
    Research Institute for Medical and Biological Engineering, Ningbo University, Ningbo, China.
  • Yudong Yao
    Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.

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