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Abstract #2654

Gibbs Ringing Correction for non-Cartesian Acquisitions

Jeffery Wong1,2,3, Santiago Coelho1,2, Hong-Hsi Lee4,5, Jingjia Chen1,2, Li Feng1,2, Els Fieremans1,2, and Dmitry S. Novikov1,2
1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Biomedical Engineering, New York University, Brooklyn, NY, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 5Department of Radiology, Harvard Medical School, Boston, MA, United States

Synopsis

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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Keywords