Fig. 1:

MoDL-CI: Proposed deep learning prior based iterative model architecture for coil-independent (CI) parallel MR image reconstruction. (a) shows the recursive structure, which alternates between the denoiser ${\mathcal{D}}_w$ and the data-consistency (DC) layer. (b) is the unrolled architecture, where the same network parameters are used consistently for the denoisers at all iterations. The parameters of the network, ${\mathcal{D}}_w$, are the same for all the M channels.