Meeting Banner
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.

Keywords

accurate achieve acquisition actual additionally advanced allows angular applications artifact artifacts aspects becomes care chooses choosing common compensate compensation complete completely complex compounded computation compute computed computing considered consuming contrast create curves degrees density depending desired direct divergence divided eliminated entire example expected fact fast filter flexibility flexible frame frames function functions general give gold golden gradient great grid gridded identical implement important intensity interpolated interpolating interpolation investigated kaiser kernel knowledge location mechanisms motion must nature nearly onto partial particular phantom populated position post problem process processed programming projections quality quickly radial radiology rapid reconstructed reconstructing reconstruction rejected remarkable repetition requiring researchers retrospectively rise routine sample samples sampling satisfactory scheme schemes shared sharing shorter simple simply smoother song space streaking subsequently taken temporal third traditional trajectory trans trio uniform unity user variable various varying view widely yields