Quantitative Ischemic Lesions of Portable Low–Field Strength MRI Using Deep Learning–Based Super-Resolution
SynthMRI demonstrates high agreement with HF-MRI in detecting and quantifying ischemic lesions and is better than LF-MRI, particularly for lesions during the early hyperacute and subacute phases.
Authors
- Yueyan Bian (ORCID: https://orcid.org/0000-0003-3322-5401)
- L. Wang (ORCID: https://orcid.org/0000-0002-5382-5431)
- Xiaoxu Yang (ORCID: https://orcid.org/0000-0001-5078-8180)
- Lei Xiang (ORCID: https://orcid.org/0000-0002-0763-2313)
- Qi Yang (ORCID: https://orcid.org/0000-0002-5773-0456)
- Yuehong Liu (ORCID: https://orcid.org/0000-0002-6618-3511)
- Erling Wang (ORCID: https://orcid.org/0000-0002-8860-9990)
- Yingying Li (ORCID: https://orcid.org/0009-0004-2123-5965)
- Jin Li (ORCID: https://orcid.org/0000-0003-0398-6533)
Institutions
- Capital Medical University (CN)
- Shanghai Medical Information Center (CN)
- Beijing YouAn Hospital (CN)
Publication Details
- Journal
- Stroke
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1161/strokeaha.124.050540
- Citations
- 2
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.72