Abstract #4864

Improving the Achievable Temporal Resolution of Compressed Sensing in CE MRA

Bing Wu^1,2, 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.