Fig. 4
From: A review on deep learning MRI reconstruction without fully sampled k-space
The structure diagram in [73]. In data preparation, the fully encoded k-space is obtained by k-space integration and averaging of multiple frames in a time-interleaved sampling manner, then which is undersampled with a designed sampling mask and performs some operations including inverse Fourier transform and coil combination to get input and output data pairs separately. The parallel neural network consists of coil reconstruction and coil combination, we can refer to [41] for more details about ADMM-Net-III. This figure is reproduced following Fig. 1 and Fig. 3 in Ref. [73]