Swin Transformer and the Unet Architecture to Correct Motion Artifacts in Magnetic Resonance Image Reconstruction

Figure 9

Reconstructed images of slice 82 of the test dataset with moderate brief motion (5–10 s). (a) Motion-free ground truth image. (b) The image with an MA. Images corrected by (c) MoCo-Net, (d) Namer-Net, (e) Modified-2D-Net, (f) MC-Net, (g) Stacked-Unet, (h) Mark-Net, and (i) MACS-Net.

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