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Abstract #1237

Accelerated 4D Flow Imaging with Compressed Sensing and Radial Undersampling Pattern on Cartesian Grid

Jing Liu1, Petter Dyverfeldt1, Michael Hope1, David Saloner1

1University of California San Francisco, San Francisco, CA, United States

In this study, different undersampling patterns were used to accelerate phase-contrast imaging. Our preliminary results of aorta flow imaging have shown that radial like pattern on Cartesian grid is simple to implement and less sensitive to undersampling artifacts. Image reconstruction with compressed sensing provides good image quality and accurate flow measurements.