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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