Abstract #2660

Comparison of an Iterative GRAPPA Method to Compressed Sensing

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.