Abstract #4948

A k-space insight of aliasing effects and their removal of SPEN MRI

Sijie Zhong^1,2, Minjia Chen³, Ke Dai^1,4, Hao Chen^1,2, Lucio Frydman⁴, and Zhiyong Zhang^1,2

¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ²Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China, ³Department of Engineering, University of Cambridge, Cambridgeshire, United Kingdom, ⁴Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel

Synopsis

Keywords: Image Reconstruction, Artifacts, SPENThe reconstruction theory of Spatio-temporal encoding MRI is not complete at present. Aliasing artifacts in SPEN MRI reconstructions can be traced to image contributions corresponding to high-frequency k-space signals. The k-space picture provides the spatial displacements, phase offsets and linear amplitude modulations associated to these artifacts, as well as routes to removing these from the reconstruction results. These new ways to estimate the artifact priors were applied to reduce SPEN reconstruction artifacts on simulated, phantom and human brain MRI data.

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