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.