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Iterative SENSE reconstructions of the multi-slice spin-echo dataset with uniform undersampling in the outer k-space at various reduction factors (i.e., R = 3, 4, 5). The ESPIRiT and the proposed DeepSENSE methods were used for sensitivity estimation from 8 ACS lines. Although the proposed model was trained on the GRE dataset, it still enables improved sensitivity estimation manifested by the reduced aliasing in the SENSE reconstruction across all reduction factors.
