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. Author manuscript; available in PMC: 2015 Oct 1.
Published in final edited form as: Magn Reson Med. 2013 Nov 18;72(4):1028–1038. doi: 10.1002/mrm.25018

Figure 2.

Figure 2

BLOSM tracks blocks of pixels through time and exploits regional low-rank sparsity. An example block of pixels (red square) is tracked through all the frames. These temporally related blocks with similar spatial contents are gathered together to form a 3D (Nb×Nb×Nt) cluster. The cluster is rearranged into a 2D matrix (Ns×Nt, Ns = Nb×Nb), which has high spatiotemporal correlations. Singular value decomposition is applied to the matrix, and only a few of the singular values have significantly higher values than the others, thus the data present low-rank sparsity.