Copyright
©The Author(s) 2025.
World J Cardiol. Jul 26, 2025; 17(7): 108745
Published online Jul 26, 2025. doi: 10.4330/wjc.v17.i7.108745
Published online Jul 26, 2025. doi: 10.4330/wjc.v17.i7.108745
Table 2 Conventional CINE and Artificial-intelligence-assisted compressed sensing CINE image parameters
C-CINE | AI-CS-CINE | |
ECG mode | Retrospective | Retrospective |
TR/TE (millisecond) | 3.57/1.75 | 2.74/1.28 |
Image matrix | 224 × 85 | 192 × 100 |
Reconstruction matrix | 2.0 | 1.5 |
Spatial resolution (mm) | 1.89 × 1.61 | 1.88 × 1.88 |
Flip angle (°) | 80 | 60 |
Bandwidth (Hz/pixel) | 1500 | 1200 |
Temporal resolution (millisecond) | 54 | 41 |
Reconstructed cardiac phases | 25 | 25 |
Field of view (mm) | 360 × 320 | 360 × 320 |
Slice thickness (mm) | 8 | 8 |
Gap (mm) | 0 | 0 |
Number of slices | 11 | 11 |
Longest breath-hold for acquisition (second) | 11 | 11 |
Number of slices acquired per 11-sec breath hold | 1 | 6 |
Number of breath-holds | 11 | 2 |
Shortest breath-hold time to acquire one slice (second) | 11 | 2 |
Total acquisition time including breath-holds (second) | 238 | 37 |
- Citation: Wang H, Schmieder A, Watkins M, Wang P, Mitchell J, Qamer SZ, Lanza G. Artificial intelligence-assisted compressed sensing CINE enhances the workflow of cardiac magnetic resonance in challenging patients. World J Cardiol 2025; 17(7): 108745
- URL: https://www.wjgnet.com/1949-8462/full/v17/i7/108745.htm
- DOI: https://dx.doi.org/10.4330/wjc.v17.i7.108745