The Impact of Model-based Deep-learning Reconstruction Compared with that of Compressed Sensing–Sensitivity Encoding on the Image Quality and Precision of Cine Cardiac MR in Evaluating Left-ventricular Volume and Strain: A Study on Healthy Volunteers
The effect of DLR on cine CMR's image quality and precision in evaluating quantitative volume and strain was equal or superior to that of CS. DLR may replace CS for cine CMR.
Authors
- Noriko Nishioka
- Kazuyuki Minowa (ORCID: https://orcid.org/0000-0003-0216-7923)
- Kohsuke Kudo (ORCID: https://orcid.org/0000-0001-5351-9242)
- Masami Yoneyama
- Satoru Aono
- Noriyuki Fujima (ORCID: https://orcid.org/0000-0001-9021-347X)
- Jihun Kwon (ORCID: https://orcid.org/0000-0003-1810-0205)
- Satonori Tsuneta (ORCID: https://orcid.org/0000-0003-0739-1975)
- Rina Kimura
- Fumi Kato
- Kinya Ishizaka
Institutions
- Hokkaido University (JP)
- Hokkaido University Hospital (JP)
Publication Details
- Journal
- Magnetic Resonance in Medical Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.2463/mrms.mp.2024-0202
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science