Fig. 5
From: A review on deep learning MRI reconstruction without fully sampled k-space
Unsupervised GAN learning system. The input and output of the generator is measurement complex-valued k-space data and two-dimensional image, then the output of generator performs forward measurement operation including a random undersampled mask to get simulation undersampled k-space data, finally, discriminator tries to distinguish between simulation data and measurement data. This figure is reproduced following Fig. 1 in Ref. [83]