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Abstract #4864

Improving the Achievable Temporal Resolution of Compressed Sensing in CE MRA

Bing Wu1,2, Philip Bones1, Anthony Butler1, Richard Watts3, Rick Millane1

1Electrical and computer engineering, University of Canterbury, Christchurch, Canterbury, New Zealand; 2Brain Imaging and Analysis Center, School of Medicine, Duke University, Durham, NC, United States; 3Physics and Astronomy, University of Canterbury, New Zealand

A new data acquisition and image reconstruction method for contrast enhanced (CE) MRA is presented. It is based on Cartesian compressed sensing and incorporates image prior knowledge embedded in the composite data set obtained from time resolved data acquisition. An acceleration factor that is comparable to that offered by HYPR has been achieved with this new method, on a Cartesian grid.