Deep Learning-Based Algorithm for Automatic Quantification of Nigrosome-1 and Parkinsonism Classification Using Susceptibility Map-Weighted MRI.

Journal: AJNR. American journal of neuroradiology
Published Date: May 2, 2025

Abstract

BACKGROUND AND PURPOSE: The diagnostic performance of deep learning model that simultaneously detecting and quantifying nigrosome-1 abnormality by using susceptibility map-weighted imaging (SMwI) remains unexplored. This study aimed to develop and validate a deep learning-based automatic quantification for nigral hyperintensity and a classification algorithm for neurodegenerative parkinsonism.

Authors

  • Pae Sun Suh
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 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.
  • Chong Hyun Suh
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • MyeongOh Lee
    Heuron Co. Ltd. (Hwan Heo, M.L., S.S., D.S.), Seoul, Republic of Korea.
  • Soohwa Song
    Heuron Co.,Ltd, Incheon, Republic of Korea, Incheon, Republic of Korea.
  • Donghoon Shin
    Heuron Co. Ltd. (Hwan Heo, M.L., S.S., D.S.), Seoul, Republic of Korea.
  • Sungyang Jo
    From the Departments of Neurology (K.W.P., E.-J.L., S.J., M.J., J.Y.D., D.-W.K., S.J.C.) and Convergence Medicine (J.S.L., J.J., J.-G.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul; Electronics and Telecommunications Research Institute (J.S.L.), Gwangju; Promedius Inc (J.J.), Seoul; and Department of Neurology (N.C.), Heavenly Hospital, Goyang, Korea.
  • Sun Ju Chung
    From the Departments of Neurology (K.W.P., E.-J.L., S.J., M.J., J.Y.D., D.-W.K., S.J.C.) and Convergence Medicine (J.S.L., J.J., J.-G.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul; Electronics and Telecommunications Research Institute (J.S.L.), Gwangju; Promedius Inc (J.J.), Seoul; and Department of Neurology (N.C.), Heavenly Hospital, Goyang, Korea. sjchung@amc.seoul.kr.
  • Hwon Heo
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Woo Hyun Shim
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Ho Sung Kim
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Sang Joon Kim
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Eung Yeop Kim
    Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea.

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