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. Author manuscript; available in PMC: 2019 Jul 1.
Published in final edited form as: Magn Reson Med. 2017 Nov 28;80(1):286–293. doi: 10.1002/mrm.27030

Figure 1.

Figure 1

Comparison between NUFFT-based and GROG-based reconstruction of an undersampled dataset with 26 radial projections. While the reconstruction with NUFFT leads to a sharp image with dominant streaking artifacts (a), a standard GROG implementation with gDCFdefault inherently prefers SNR over resolution, which introduces blurring (b). This can be overcome by modifying the GROG density compensation function (gDCFn (c)), where n denotes the number of spokes which is used for the design of this filter. With increasing n, the blurring is resolved and results are similar compared to the image obtained with NUFFT.