Bing Wu1, Richard Watts2, Rick Millane1, Philip Bones1
1Depeartment of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand; 2Department of Physics and Astronomy, University of Canterbury, Christchurch, New Zealand
A new approach that improves the effectiveness of compressed sensing (CS) in parallel MR imaging (pMRI) is proposed. Instead of directly combining the CS recovery process with parallel imaging operators as has been previously reported, a two step reconstruction is used. A conventional SENSE-like reconstruction which gives a high fidelity reconstruction with high noise level is first made, then a CS reconstruction based on the prior knowledge of the SENSE reconstruction is performed to reduce the noise level, hence achieving a high fidelity reconstruction with low noise level. It is demonstrated using in-vivo data set that this new approach outperforms SENSE reconstruction or CS reconstruction alone.
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