Deep Learning-Based Breath-Hold and Free-Breathing Cine MRI for Comprehensive Cardiac Evaluation
Both FBDL and BHDL significantly reduced scan times compared to standard cine without compromising quantitative measurement accuracy. BHDL offered superior measurement accuracy and shorter scan time than FBDL. Furthermore, BHDL demonstrated robust suitability for patients with arrhythmia by minimizing arrhythmia-related artifacts, whereas FBDL was more effective in patients with dyspnea by mitigating respiratory motion artifacts.
Authors
- Mengsu Zeng (ORCID: https://orcid.org/0000-0001-6107-3623)
- Yinyin Chen (ORCID: https://orcid.org/0000-0002-1192-671X)
- Guifeng Fu
- Hang Jin (ORCID: https://orcid.org/0000-0002-6810-2527)
- Xianling Qian (ORCID: https://orcid.org/0000-0001-5366-4976)
- Qingqing Wen
- Lin Tian
- Wei Sun (ORCID: https://orcid.org/0000-0002-0923-6760)
- Yali Wu (ORCID: https://orcid.org/0009-0005-6650-402X)
- Shiyu Wang (ORCID: https://orcid.org/0009-0007-5374-0087)
Institutions
- Sun Yat-sen University (CN)
- Fudan University (CN)
- Circle Cardiovascular Imaging (CA)
- Zhongshan Hospital of Xiamen University (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Shanghai Institute of Hematology (CN)
Publication Details
- Journal
- Korean Journal of Radiology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.3348/kjr.2025.0440
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- Fudan University
- Natural Science Foundation of Fujian Province