Compressive Diffusion MRI Part 1: Why Low-Rank?

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account actively adaptive adopt affects aligned although applications apply approximated approximation assume best better biomedical central certainly characterized column components compressive computer consists constructed contrast correlated counterparts criterion decomposition detail dictionary diffusion dimension dynamic engineering error errors falls fifth focus fold fourth frequency functions generalizes generally global gold gradient hand ideal important index indicate instead institute involve involves iteration jointly last learning likely local mathematically mathematics matrix minimized model models naturally notable note often original part partially performance phys pixel principal problematic quality radiology rank reconstructed reconstruction reconstructions remains report represented respectively science sciences sensing separable several since slice smallest solved space sparse sparsity split stopping studied suggesting supposition take technology tensor terms theory third trans transform trivial utilized variation various varying vector wavelet wise zoom