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Abstract #3811

Highly Undersampled Time Resolved Phase-Contrast MRA with Flow-Adapted Compressed Sensing Reconstruction

Jana Hutter1, 2, Andreas Greiser3, Robert Grimm1, Christoph Forman, 24, Joachim Hornegger1, 2, Peter Schmitt5

1Pattern Recognition Lab, Friedrich-Alexander-Universitaet Erlangen-Nuernberg, Erlangen, Germany; 2School of Advanced Optical Technologies, Erlangen, Germany; 3Siemens AG, Erlangen, Germany; 4Friedrich-Alexander-University Erlangen-Nrnberg, Erlangen, Germany; 5MR Application & Workflow Development, Siemens Healthcare, Erlangen, Germany

The proposed compressed sensing based algorithm for velocity-encoded phase contrast MRA combines an incoherent interleaved undersampling pattern in both velocity-encoding and temporal dimension with a flow-adapted temporal resolution. High undersampling factors are supported while preserving the contrast and temporal resolution. Results are compared with state-of-the-art Grappa and Sense methods and the fully sampled reference.