A New k-Space Model for Non-Cartesian Fourier Imaging
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For the past several decades, it has been popular to reconstruct Fourier imaging data using model-based approaches that can easily incorporate physical constraints and advanced regularization/machine learning priors. The most common modeling approach is to rep... ...