Human-in-the-loop machine learning-based quantitative assessment of hemifacial spasm based on volumetric interpolated breath-hold examination MR.

Journal: The British journal of radiology
Published Date:

Abstract

OBJECTIVES: The purpose of this study was to assess the severity of hemifacial spasm (HFS) through quantitative measures that associated it with neurovascular contact (NVC).

Authors

  • Zengan Huang
    Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
  • Xinyi Wang
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
  • Xiaoming Liu
    College of Agriculture, Northeast Agricultural University, Harbin, China.
  • Jingwen Li
    Cloud Computing and Big Data Research Institute, China Academy of Information and Communications Technology, People's Republic of China.
  • Xinyu Hu
    Huaxi MR Research Center (HMRRC) Department of Radiology, West China Hospital Sichuan University, Chengdu, 610041, China.
  • Qinwei Yu
    Department of Cardiology, Wuhan Red Cross Hospital, Wuhan, Hubei 430000, China.
  • Guiying Kuang
    Department of Cardiology, Wuhan Red Cross Hospital, Wuhan, Hubei 430000, China.
  • Nian Xiong
    Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
  • Yi Gao
    Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China.