Abstract #4381
Improved Blind Compressed Sensing for Dynamic MRI Reconstruction
Angshul Majumdar 1 and Rabab Ward 2
1
Indraprastha Institute of Information
Technology, New Delhi, Delhi, India,
2
Electrical
and Computer Engineering, University of British
Columbia, Vancouver, BC, Canada
This paper proposes an improvement over the recently
proposed Blind Compressive Sensing (BCS) framework for
dynamic MRI reconstruction. Owing to temporal
correlation among the frames, the Casorati matrix formed
by stacking the dynamic MRI frames as columns is a rank
deficient matrix. BCS fails to capture this rank
deficiency. We incorporate a rank deficiency penalty
into the BCS framework and thereby improve the
reconstruction results.
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