Figure 3: Proposed joint recovery: (a) shows the images from the proposed sampling scheme with SMS & joint k-q acceleration. The goal is to recover all DWIs jointly & simultaneously unfold the slices from the MB excitation. (b) During the iterative recovery, the 1st term in Eq [1] performs unaliasing arising from the multi-band excitation & k-space under-sampling. The q-space prior performs voxel-wise projection of the diffusion signals to the learned manifold (illustrated in (c)). The TV prior imposes DWI smoothness. The joint recovery maximally exploits the redundancy in the data.

Figure 4: Proposed joint reconstruction from two samples DWIs. (a)-(c) shows the reconstruction from the fully sampled data from all 4 shots, which were accelerated using multi-band imaging only at MB=3. (b) shows the individual SMS MUSSELS reconstruction and (c) shows the joint reconstruction using the proposed method. (d)-(e) corresponds to the acquisition with additional 4-fold acceleration from joint k-q under-sampling. (e) shows two sample DWIs from the joint recovery of all the 20 DWIs from all the 3 slices simultaneously.