Table 2 Restoration performance comparison on unseen sampling ratios (5× and 7×) for the brain dataset. UNet128-FT and ViT-L-FT follow the same pretraining-finetuning pipeline as MR-IPT to ensure a fair evaluation of generalization performance. Results demonstrate MR-IPT’s superior adaptability to novel acceleration factors, outperforming both UNet128-FT and ViT-L-FT in PSNR and SSIM.

From: Magnetic resonance image processing transformer for general accelerated image restoration

 

Brain-Cartesian Equispaced

 

ACC = 5X

ACC = 7X

 

PSNR

SSIM

PSNR

SSIM

UNet128

35.20

9.9554

32.66

0.9339

UNet128-FT

35.52

0.9554

32.96

0.9346

ViT-L

35.58

0.9447

33.60

0.9296

ViT-L-FT

36.29

0.9490

34.60

0.9378

MR-IPT-type

39.71

0.9757

36.56

0.9619

MR-IPT-level

39.92

0.9763

36.69

0.9626

MR-IPT-split

39.78

0.9758

36.49

0.9615

  1. Significant values are in bold.