Deep Learning–Based Algorithm for Automatic Quantification of Nigrosome-1 and Parkinsonism Classification Using Susceptibility Map–Weighted MRI
Our deep learning-based model proves rapid, accurate automatic quantification of nigral hyperintensity, facilitating IPD diagnosis, symptom severity prediction, and patient stratification for personalized therapy. Further study is warranted to validate the findings across various clinical settings.
Authors
- Sun Ju Chung (ORCID: https://orcid.org/0000-0003-4118-8233)
- Eung Yeop Kim (ORCID: https://orcid.org/0000-0002-9579-4098)
- MyeongOh Lee
- Chong Hyun Suh (ORCID: https://orcid.org/0000-0002-4737-0530)
- Pae Sun Suh
- Woo Hyun Shim (ORCID: https://orcid.org/0000-0002-7251-2916)
- Sungyang Jo (ORCID: https://orcid.org/0000-0001-5097-2340)
- Soohwa Song (ORCID: https://orcid.org/0000-0002-4723-5603)
- Hwon Heo (ORCID: https://orcid.org/0000-0002-6103-4680)
- Ho Sung Kim (ORCID: https://orcid.org/0000-0002-9477-7421)
- Sang Joon Kim (ORCID: https://orcid.org/0000-0001-7070-7333)
- Dong Hoon Shin (ORCID: https://orcid.org/0000-0003-4712-1267)
- Hwan Heo (ORCID: https://orcid.org/0000-0003-2144-6637)
Institutions
- Ulsan College (KR)
- Yonsei University (KR)
- Asan Medical Center (KR)
- Samsung Medical Center (KR)
- Kyung Hee University (KR)
- University of Ulsan (KR)
- Gachon University Gil Medical Center (KR)
- Research Institute of Radiology (BY)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2024-11-15
- DOI
- https://doi.org/10.3174/ajnr.a8585
- Citations
- 5
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.85
Funders
- Korea Health Industry Development Institute
- National Research Foundation of Korea