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Peer-Reviewed Publication
AJNR Am J Neuroradiol2025;46(5):999-1006.May 2, 2025Journal Article

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

Pae Sun Suh1,2, Hwan Heo3, Chong Hyun Suh4, MyeongOh Lee3, Soohwa Song3, Donghoon Shin3,5, Sungyang Jo6, Sun Ju Chung6, Hwon Heo1, Woo Hyun Shim1, Ho Sung Kim1, Sang Joon Kim1, Eung Yeop Kim7
1From the Department of Radiology and Research Institute of Radiology (P.S.S., C.H.S. Hwon Heo, W.H.S., H.S.K., S.J.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
2Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science (P.S.S.), Yonsei University College of Medicine, Seoul, South Korea.
3Heuron Co. Ltd. (Hwan Heo, M.L., S.S., D.S.), Seoul, Republic of Korea.
4From the Department of Radiology and Research Institute of Radiology (P.S.S., C.H.S. Hwon Heo, W.H.S., H.S.K., S.J.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea chonghyunsuh@amc.seoul.kr.
5Department of Neurology, Gil Medical Center (D.S.), Gachon University College of Medicine, Incheon, Republic of Korea.
6Department of Neurology (S.J., S.J.C.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
7Department of Radiology (E.Y.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
PubMed PMC DOI PDF

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. MA…

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