Figure 1.

General description of Block LOw-rank Sparsity with Motion-guidance (BLOSM). A set of undersampled dynamic images are divided into blocks (labeled 1 to 5 as an example). Motion trajectories for each block are obtained from the current image estimation and used to track each block through time. The motion-tracked blocks are stacked together to form a cluster for each group of blocks. Each cluster then undergoes a singular value shrinkage step and the resulting blocks are merged into a new estimated image. The iterations continue for a fixed number of iterations or until a stopping criteria is met.