Parallel MRI Reconstruction on 8-coil knee k-space Cartesian trajectory R=3
36.9931PSNRk-space deep learning
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| k-space deep learningtrajectory=Cartesian, acceleration factor=R=3, architecture=Fig. 3(b)2018.05 | 36.9931 | 1.3154 | 0.8087 | 0.1438 | |
| KIKI Net.trajectory=Cartesian, acceleration factor=R=32018.05 | 36.6847 | 1.4086 | 0.8018 | 0.5438 | |
| Cascade Net.trajectory=Cartesian, acceleration factor=R=32018.05 | 36.6055 | 1.4196 | 0.7982 | 0.2219 | |
| Variational Net.trajectory=Cartesian, acceleration factor=R=32018.05 | 36.1428 | 1.5379 | 0.7966 | 0.1688 | |
| ALOHAtrajectory=Cartesian, acceleration factor=R=32018.05 | 36.1013 | 1.5812 | 0.7914 | 16.5554 | |
| Total variationtrajectory=Cartesian, acceleration factor=R=32018.05 | 36.0689 | 1.5826 | 0.7878 | 1.0938 | |
| Image-domain learningtrajectory=Cartesian, acceleration factor=R=32018.05 | 35.8497 | 1.6497 | 0.7776 | 0.1188 | |
| Inputcoils=8, acceleration=x32018.05 | 34.2021 | 2.3384 | 0.771 | — |