Daniel J. Holland1, Dmitry M. Malioutov2, Andrew Blake2, Lynn F. Gladden1, Andrew J. Sederman1
1Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; 2Microsoft Research Cambridge, Cambridge, United Kingdom
This work describes a method for accelerating the acquisition of phase-encoded velocity images using compressed sensing. Results are shown for both experimental and simulated measurements of liquid and gas flow through a model porous material. Using this approach, acceleration factors for Cartesian data of between 2 and 5 are achieved with minimal reconstruction error. By combining this reconstruction algorithm with a variable density spiral acquisition, a full order of magnitude decrease in imaging time is achieved. This approach is applicable to MR angiography and perfusion studies in clinical MRI and to other phase imaging techniques.