Clinical feasibility of two cardiac deep learning cine magnetic resonance imaging sequences: Single-breath-hold and free-breathing motion-corrected approaches
Compared with traditional segmented cine, DL-accelerated cine enables ventricular imaging in a shorter acquisition time, with preserved IQ and quantitative cardiac function results.
Authors
- Dan Yu (ORCID: https://orcid.org/0000-0001-5380-465X)
- Jianmin Yuan (ORCID: https://orcid.org/0000-0001-7223-2757)
- Jinchen Li (ORCID: https://orcid.org/0009-0002-3893-8128)
- Zhaozhao Wang (ORCID: https://orcid.org/0000-0002-0507-7205)
- Guang Li (ORCID: https://orcid.org/0000-0002-8862-3661)
- Xiangming Li (ORCID: https://orcid.org/0000-0003-3128-6219)
- Zekun Zhou (ORCID: https://orcid.org/0000-0002-8726-2657)
- Huihui Kong (ORCID: https://orcid.org/0000-0003-2505-5940)
- Yi He (ORCID: https://orcid.org/0000-0003-3014-5211)
Institutions
- Capital Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Advanced Technology & Materials (China) (CN)
- Shougang Institute of Technology (CN)
- United Imaging Healthcare (China) (CN)
- Beijing Friendship Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Journal of Cardiovascular Magnetic Resonance
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.jocmr.2025.101983
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00