Research map / Image generation / Super-resolution
Transformer-Empowered Multi-Scale Contextual Matching and Aggregation for Multi-Contrast MRI Super-Resolution
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use McMRSR instead of the strongest listed baseline, Restormer | Multi-contrast MRI super-resolution · Pelvic, 4× | PSNR: 34.91(1.18) -> 36.23(1.07) | Helped |
| Use McMRSR instead of the strongest listed baseline, MASA | Multi-contrast MRI super-resolution · Brain, 4× | PSNR: 34.79(1.06) -> 36.07(0.92) | Helped |
| Use McMRSR instead of the strongest listed baseline, Restormer | Multi-contrast MRI super-resolution · fastMRI, 4× | PSNR: 31.09(1.05) -> 33.28(0.97) | Helped |
| Add the reference image and reference-based pathway (ablation) | McMRSR · fastMRI, 4× | PSNR: 29.05(1.24) -> 33.28(0.97) | Helped |
| Use multi-scale rather than single-scale features (ablation) | McMRSR · fastMRI, 4× | PSNR: 30.24(1.12) -> 33.28(0.97) | Helped |
| Add context matching (CM) (ablation) | McMRSR · fastMRI, 4× | PSNR: 31.13(1.18) -> 33.28(0.97) | Helped |
| Add the multi-scale aggregation block (MAB) (ablation) | McMRSR · fastMRI, 4× | PSNR: 30.56(1.03) -> 33.28(0.97) | Helped |
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