“Super-Resolution” Deep Learning Image Reconstruction in Dynamic Myocardial Perfusion: A Prospective Evaluation of Image Quality and Hemodynamic Parameters
SR-DLR and NR-DLR significantly enhanced image quality by reducing noise and improving SNR and CNR while maintaining hemodynamic quantification.
Authors
- Chuluunbaatar Otgonbaatar (ORCID: https://orcid.org/0000-0002-8533-6165)
- Gonchigsuren Dagvasumberel (ORCID: https://orcid.org/0000-0002-8265-6024)
- Hackjoon Shim (ORCID: https://orcid.org/0000-0002-6731-0084)
- JaeKyun Ryu
- Pil-Hyun Jeon (ORCID: https://orcid.org/0000-0001-7505-903X)
- Sung Min Ko
- Hyunjung Kim
Institutions
- Yonsei University (KR)
- Mongolian National University (MN)
- Mongolian National University of Medical Sciences (MN)
- Wonju Severance Christian Hospital (KR)
Publication Details
- Journal
- Journal of Computer Assisted Tomography
- Published
- 2026-01-12
- DOI
- https://doi.org/10.1097/rct.0000000000001840
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00