Kevin King1, Dan Xu1, Anja CS
Brau2, Peng Lai2, Philip J. Beatty2, Luca
Marinelli3
1Global Applied Science Lab, GE
Healthcare, Waukesha, WI, United States; 2Global Applied Science
Lab, GE Healthcare, Menlo Park, CA, United States; 3Global
Research Center, General Electric, Niskayuna, NY, United States
Compressed
sensing and data driven parallel imaging can be combined in a serial approach
in which randomly undersampled data are reconstructed onto a uniformly
undersampled k-space grid using compressed sensing. Parallel imaging uses this uniformly
undersampled data plus the auto-calibration data to create a fully sampled
k-space grid. The serial approach
allows the acceleration to be split between compressed sensing and parallel
imaging. Each method solves a problem
with better conditioning than if the full acceleration were used. Any data driven parallel imaging method,
such as GRAPPA, ARC or SPIRIT can be used without modification using this
approach.