Fig. 4
From: Learning to reconstruct accelerated MRI through K-space cold diffusion without noise
Reconstruction results for 4-fold and 8-fold accelerations with Gaussian sampling mask. (a) fully sampled target image, (b) zero-filled images and sampling masks, (c) U-Net reconstructions, (d) W-Net reconstructions, (e) E2E-VarNet reconstructions, (f) our proposed k-space cold diffusion reconstructions. Corresponding error maps are demonstrated together with their reconstructions. The numbers on the lower left of each image indicate PSNR and SSIM, respectively.
