Deep Learning-Based Automatic Segmentation of Lumbosacral Nerves on CT for Spinal Intervention: A Translational Study.

Journal: AJNR. American journal of neuroradiology
PMID: 31147353

Abstract

BACKGROUND AND PURPOSE: 3D reconstruction of a targeted area ("safe" triangle and Kambin triangle) may benefit the viability assessment of transforaminal epidural steroid injection, especially at the L5/S1 level. However, manual segmentation of lumbosacral nerves for 3D reconstruction is time-consuming. The aim of this study was to investigate the feasibility of deep learning-based segmentation of lumbosacral nerves on CT and the reconstruction of the safe triangle and Kambin triangle.

Authors

  • G Fan
    From the Orthopedic Department, Shanghai Tenth People's Hospital (G.F., C.F., D.W., S.H.), Tongji University School of Medicine, Shanghai, China tjhss7418@tongji.edu.cn gfan@tongji.edu.cn.
  • H Liu
    Joint Laboratory of Modern Agricultural Technology International Cooperation; Key Laboratory of Animal Production, Product Quality, and Security; College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
  • Z Wu
    School of Data and Computer Science (Z.W.), Sun Yat-sen University, Guangzhou, China.
  • Y Li
  • C Feng
    From the Orthopedic Department, Shanghai Tenth People's Hospital (G.F., C.F., D.W., S.H.), Tongji University School of Medicine, Shanghai, China.
  • D Wang
    Department of Otolaryngology-Head and Neck Surgery, Institute of Otolaryngology, Chinese PLA General Hospital, Beijing, China.
  • J Luo
    Surgical Planning Lab (G.F., J.L., W.M.W.), Radiology Department, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • W M Wells
    Surgical Planning Lab (G.F., J.L., W.M.W.), Radiology Department, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • S He
    From the Orthopedic Department, Shanghai Tenth People's Hospital (G.F., C.F., D.W., S.H.), Tongji University School of Medicine, Shanghai, China tjhss7418@tongji.edu.cn gfan@tongji.edu.cn.

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