Optimizing Coronary CT Image Reconstruction With Deep Learning for Improved Quality: A Retrospective Study
DLIR-H significantly improved CCTA image quality compared with ASIR-V, which contributes to a more accurate diagnosis in patients with suspected CAD.
Authors
- Maciej Guziński (ORCID: https://orcid.org/0000-0002-9781-2114)
- Adrian Korbecki (ORCID: https://orcid.org/0000-0003-0047-9819)
- Agata Zdanowicz (ORCID: https://orcid.org/0000-0003-0447-1021)
- Arkadiusz Kacała (ORCID: https://orcid.org/0000-0003-2392-6466)
- Michał Puła (ORCID: https://orcid.org/0000-0002-3265-7424)
Institutions
- Wroclaw Medical University (PL)
Publication Details
- Journal
- Journal of Computer Assisted Tomography
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1097/rct.0000000000001746
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00