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MR Image Reconstruction from Sparse and Corrupted k-Space Data

This paper reviews resampling of nonuniformly sampled k-space data to a Cartesian grid and adds a new formula enabling quick computation of the shape parameter B of the KaiserBessel convolution window. In addition, a very recently conceived iterative estimation of the sampling density correction is explained and applied to sparse radial MRI scans. Keywords— rapid scanning, undersampling, gridding, sampling density correction