Keywords: Artifacts, Artifacts
Motivation: Truncation in k-space leads to Gibbs ringing. Removal of Gibbs artifact for non-Cartesian isotropic sampling remains unaddressed.
Goal(s): To develop Gibbs ringing correction method for non-Cartesian isotropic k-space readouts.
Approach: We generalize the subvoxel-shift Gibbs ringing correction to isotropic sampling schemes.
Results: The developed correction removes Gibbs ringing for isotropic sampling schemes.
Impact: Gibbs ringing leads to artifacts and biases in parametric maps, especially in diffusion MRI. We generalize the subvoxel-shift Gibbs ringing correction, previously developed for cartesian EPI acquisitions, to non-Cartesian sampling. The method will increase the reproducibility of MRI processing pipelines.
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