Spine Explorer: a deep learning based fully automated program for efficient and reliable quantifications of the vertebrae and discs on sagittal lumbar spine MR images.

Journal: The spine journal : official journal of the North American Spine Society
Published Date: Apr 1, 2020

Abstract

BACKGROUND CONTEXT: Although quantitative measurements improve the assessment of disc degeneration, acquirement of quantitative measurements relies on manual segmentation on lumbar magnetic resonance images (MRIs), which may introduce subjective bias. To date, only a few semiautomatic systems have been developed to quantify important components on MRIs.

Authors

  • Jiawei Huang
    Spine Lab, Department of Orthopedic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, The Second Floor of Building 3, 79# Qingchun Road, Hangzhou 310003, China.
  • Haotian Shen
  • Jialong Wu
    Spine Lab, Department of Orthopedic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, The Second Floor of Building 3, 79# Qingchun Road, Hangzhou 310003, China.
  • Xiaojian Hu
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Zhiwei Zhu
    Department of Radiology, Dongyang People's Hospital, Dongyang, China.
  • Xiaoqiang Lv
    Department of Orthopedic Surgery, Dongyang People's Hospital, Dongyang, China.
  • Yong Liu
    Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
  • Yue Wang
    Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

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