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To develop a fast and stable method for correcting the gibbs‐ringing artifact.

Gibbs‐ringing is a well‐known artifact which manifests itself as spurious oscillations in the vicinity of sharp image gradients at tissue boundaries. The origin can be seen in the truncation of k‐space during MRI data‐acquisition. Correction techniques like Gegenbauer reconstruction or extrapolation methods aim at recovering these missing data. Here, we present a simple and robust method which exploits a different view on the Gibbs‐phenomenon: The truncation in k‐space can be interpreted as a convolution of the underlying image with a sinc‐function. As the image is reconstructed on a discretized grid, the severity of the ringing artifacts depends on how this grid is located with respect to the edge and the oscillation pattern of the function. We propose to reinterpolate the image based on local, subvoxel‐shifts to sample …