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. 2022 Nov 4;9(11):650. doi: 10.3390/bioengineering9110650

Figure 5.

Figure 5

Reconstruction results of SS-CRNN and the proposed SelfCoLearn with SLR-Net, k-t NEXT, and CRNN backbone networks at 8-fold acceleration. The first row shows ground truth (fully sampled image), the reconstruction images of SS-CRNN and the proposed self-supervised learning strategy with SLR-Net, k-t NEXT, and CRNN (10th frame). The second row shows their enlarged images in the heart regions. The third row plots the error images of these two methods. The last two rows show the y-t images (the 40th slice along the dimensions of y and t) and the corresponding error images.