Super-resolution deep learning image reconstruction: image quality and myocardial homogeneity in coronary computed tomography angiography
SR-DLR improved image quality, demonstrated clearer delineation of distal segments of coronary arteries, and was seemingly accurate for quantifying CT attenuation in the myocardium.
Authors
- Jae‐Kyun Ryu
- Chuluunbaatar Otgonbaatar (ORCID: https://orcid.org/0000-0002-8533-6165)
- Sang-Hyun Jeon (ORCID: https://orcid.org/0000-0003-4753-7174)
- Sung Min Ko (ORCID: https://orcid.org/0000-0002-7420-6269)
- Won Beom Jung (ORCID: https://orcid.org/0000-0001-5427-5964)
- Hyunjung Kim (ORCID: https://orcid.org/0000-0003-1814-0098)
- Hackjoon Shim (ORCID: https://orcid.org/0000-0001-6958-2895)
- Sung-Jin Cha (ORCID: https://orcid.org/0009-0009-0088-1921)
- Pil-Hyun Jeon (ORCID: https://orcid.org/0000-0001-7505-903X)
Institutions
- Seoul National University (KR)
- Yonsei University (KR)
- Wonju Severance Christian Hospital (KR)
- Korea Brain Research Institute (KR)
Publication Details
- Journal
- Journal of Cardiovascular Imaging
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1186/s44348-024-00031-4
- Citations
- 2
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81