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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