Abstract #2459

Reduction of Gibbs artifacts with the Domain Decomposition Fourier Continuation Method

Ruonan Shi¹, Jae-Hun Jung^1,2, and Ferdinand Schweser^3,4

¹Department of Mathematics, University at Buffalo, The State University of New York, Buffalo, NY, United States, ²Department of Data Science, Ajou University, Yeongtung-gu, Korea, Republic of, ³Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, ⁴Center for Biomedical Imaging, Clinical and Translational Research Institute, University at Buffalo, The State University of New York, Buffalo, NY, United States

Magnetic Resonance (MR) images are obtained from the measured k-space Fourier coefficients. Due to acquisition time limitations and noise typically only a limited part of the k-space is acquired, resulting in Gibbs ringing on the images. We propose an efficient and accurate local reconstruction method that removes the Gibbs ringing and yields sharp image profiles near local edges.

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