Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson's disease.

Journal: Parkinsonism & related disorders
Published Date: Apr 1, 2021

Abstract

OBJECTIVES: Despite its use in determining nigrostriatal degeneration, the lack of a consistent interpretation of nigrosome 1 susceptibility map-weighted imaging (SMwI) limits its generalized applicability. To implement and evaluate a diagnostic algorithm based on convolutional neural networks for interpreting nigrosome 1 SMwI for determining nigrostriatal degeneration in idiopathic Parkinson's disease (IPD).

Authors

  • Dong Hoon Shin
    Department of Neurology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
  • Hwan Heo
    Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. gjghks@dgu.edu.
  • Soohwa Song
    Heuron Co.,Ltd, Incheon, Republic of Korea, Incheon, Republic of Korea.
  • Na-Young Shin
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 065-591, Republic of Korea.
  • Yoonho Nam
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea.
  • Sang-Won Yoo
    Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Joong-Seok Kim
    Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Jung Han Yoon
    Department of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Seon Heui Lee
    Department of Nursing Science, College of Nursing, Gachon University, Incheon, Korea.
  • Young Hee Sung
    Department of Neurology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea. Electronic address: atmann02@gilhospital.com.
  • Eung Yeop Kim
    Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea.

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