Parallel Imaging Reconstruction on Anatomical OOD T2 (Cartesian, R=8, Rotated PE)
35.92PSNRfully-learned filters and time conditioning (FLF+TC)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| fully-learned filters and time conditioning (FLF+TC)Number of Parameters=73482026.05 | 35.92 | 93 | 0.58 | |
| fully-learned filters (FLF)Number of Parameters=17602026.05 | 35.73 | 93 | 0.61 | |
| Total Variation (TV)2026.05 | 35.01 | 92 | 0.72 | |
| Shearlet (SH)Number of Parameters=15582026.05 | 34.55 | 92 | 0.79 | |
| Zero filled (ZF)2026.05 | 26.53 | 74 | 5.3 | |
| Deep-JSense (DJS)Number of Parameters=4474902026.05 | 25.36 | 17 | 283.86 | |
| End-to-end variational network (VN)Number of Parameters=3 × 10^72026.05 | 20.61 | 49 | 13.35 |