Noise and artifact comparison for Fourier and polynomial phase correction used with Fourier reconstruction of asymmetric data sets

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Abstract
Two processes of phase correction, Fourier phase mapping and second‐order polynomial phase fitting, are compared in combination with four different schemes for Fourier reconstruction of asymmetric data, using one‐dimensional simulations and two‐dimensional human head data. Polynomial phase correction provides systematically less image noise and is much less affected by localized phase differences caused by object edges and motion.