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Abstract #2546

A Density Compensation Function Using Kaiser-Bessel Regridding

Lawrence Dougherty1, Gamaliel Isaac1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States

A rapid density compensation function (DCF) was developed and tested for reconstruction of non-Cartesian sampled data. Sampling locations were gridded onto a map in the same manner as the MR data. This creates a density map that is used to compensate for the irregular sampling. Phantom images were reconstructed using the gridded DCF from data acquired with a Golden-angle radial sequence and showed good performance as compared to a Ram-Lak filter or density computed from K-space area. The method is rapid and flexible, requiring only the knowledge of each samples position in K-space and is simple to implement.