Lawrence Dougherty1, Walter R.T. Witschey2, Robert M, King1, Gamaliel Isaac1
1Radiology, University of Pennsylvania, Philadelphia, PA, United States; 2Surgery, University of Pennsylvania, Philadelphia, PA, United States
An iterative GRAPPA method has been developed for use on non-Cartesian sampled data. The method uses repeated application of Cartesian GRAPPA interpolation following gridding. Optimal kernel size as well as multiple kernels are investigated. Using a radially undersampled data set, GRAPPA was compared to compressed sensing. The iterative GRAPPA approach is simple to implement and executes rapidly.