Predicting Late Gadolinium Enhancement of Acute Myocardial Infarction in Contrast-Free Cardiac Cine MRI Using Deep Generative Learning
CGE achieved superior image quality to LGE and accurate scar delineation in patients with acute MI of both internal and external data sets. CGE can significantly simplify the CMR examination, reducing scan times and risks associated with gadolinium-based contrasts, which are crucial for acute patients.
Authors
- Langlang Tang (ORCID: https://orcid.org/0000-0001-6167-1332)
- Pengfang Qian (ORCID: https://orcid.org/0000-0003-3086-4697)
- Binghua Chen (ORCID: https://orcid.org/0000-0002-2718-8416)
- Haikun Qi (ORCID: https://orcid.org/0000-0003-4709-5185)
- Dong‐Aolei An (ORCID: https://orcid.org/0000-0002-6195-2246)
- Lian-Ming Wu
Institutions
- Fujian Medical University (CN)
- Renji Hospital (CN)
- ShanghaiTech University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Shanghai Clinical Research Center (CN)
Publication Details
- Journal
- Circulation Cardiovascular Imaging
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1161/circimaging.124.016786
- Citations
- 15
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 6.06