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Abstract #0575

Beyond Low Rank + Sparse: Multi-scale Low Rank Reconstruction for Dynamic Contrast Enhanced Imaging

Frank Ong 1 , Tao Zhang 2 , Joseph Cheng 2 , Martin Uecker 3 , and Michael Lustig 3

1 Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, California, United States, 2 Stanford University, California, United States, 3 University of California, Berkeley, California, United States

A multi-scale low rank reconstruction method is presented to exploit spatio-temporal correlations of dynamic contrast enhanced (DCE) images across multiple scales. The proposed method separates different scales of contrast dynamics with different sizes of low rank matrices and provides a more compact representation of DCE images than conventional low rank methods. Results from multi-scale low rank reconstruction are compared to locally low rank and low rank plus sparse modeling.

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