Improved image quality and diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve with super-resolution deep learning reconstruction
SR-DLR had the best image quality for both objective and subjective evaluation. The diagnostic performances of CT-FFR were improved by SR-DLR, enabling more accurate assessment of flow-limiting lesions.
Authors
- Xu Cheng (ORCID: https://orcid.org/0000-0001-7536-945X)
- Lan Zou (ORCID: https://orcid.org/0000-0003-2443-0817)
- Ming Wang (ORCID: https://orcid.org/0000-0002-0512-637X)
- Yun Wang (ORCID: https://orcid.org/0000-0003-4030-1468)
- Yining Wang (ORCID: https://orcid.org/0000-0001-6441-2002)
- Ke Xu (ORCID: https://orcid.org/0000-0003-2620-4960)
- Min Xu (ORCID: https://orcid.org/0000-0001-9455-9494)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-08-21
- DOI
- https://doi.org/10.21037/qims-24-2075
- Citations
- 1
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 1.36