Deep Learning–Based Reconstruction for Accelerated Cervical Spine MRI: Utility in the Evaluation of Myelopathy and Degenerative Diseases
The accelerated cervical MRI reconstructed with a vendor-neutral DL-based reconstruction algorithm did not compromise image quality and had higher or similar diagnostic performance for diagnosing cervical degenerative spine diseases and myelopathy compared with the conventional protocol.
Authors
- Sylvia Y. Koo
- Kyu Sung Choi (ORCID: https://orcid.org/0000-0002-5175-3307)
- Roh‐Eul Yoo (ORCID: https://orcid.org/0000-0002-5625-5921)
- Hyunsuk Yoo (ORCID: https://orcid.org/0000-0003-3255-7439)
- Kyung Hoon Lee (ORCID: https://orcid.org/0000-0002-4818-2937)
- Seung Hong Choi (ORCID: https://orcid.org/0000-0002-0412-2270)
- Han Byeol Lee
- Dong-Joo Shin (ORCID: https://orcid.org/0009-0007-7522-7903)
Institutions
- Seoul National University (KR)
- New Generation University College (ET)
- Seoul National University Hospital (KR)
- Kangbuk Samsung Hospital (KR)
- Institute for Basic Science (KR)
- National University College (PR)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-03-27
- DOI
- https://doi.org/10.3174/ajnr.a8567
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation of Korea