Feasibility of magnetization-transfer-contrast relaxation-enhanced angiography without contrast and triggering (REACT) imaging at 1.5 T combined with deep learning-based reconstruction for cardiovascular visualization
The Adaptive-CS-Net reconstructed MTC-REACT images consistently deliver superior CNR, and SNR compared to the CS reconstructed images for pulmonary veins. Notably, the MTC-REACT technique enhances image quality for pulmonary veins compared to the REACT sequence, irrespective of the deep-learning reconstruction method's impact.
Authors
- Gerald Greil (ORCID: https://orcid.org/0000-0001-7288-6566)
- Qing Zou (ORCID: https://orcid.org/0000-0002-2729-2491)
- Alex Jack (ORCID: https://orcid.org/0000-0002-6338-6823)
- Sukran Erdem
- Pezad Doctor (ORCID: https://orcid.org/0000-0002-3195-294X)
- Tariq Hussain (ORCID: https://orcid.org/0000-0002-1332-2418)
Institutions
- University of Michigan (US)
- Southwestern Medical Center (US)
- Advanced Imaging Research (United States) (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.21037/qims-24-2199
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36