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Abstract #3875

Robust Nyquist Ghost Correction for Multi-echo Balanced SSFP at 7T Using Joint-GRAPPA 

Ziyi Pan1, Huilou Liang2,3, Kaibao Sun2, Danny J.J. Wang4, Rong Xue2,3,5, and Hua Guo1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 3University of Chinese Academy of Sciences, Beijing, China, 4Laboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States, 5Beijing Institute for Brain Disorders, Beijing, China

Multiline bSSFP is an acceleration technique that has the potential to approach the speed of EPI while overcoming inherent EPI artifacts in fMRI. However, the highly segmented EPI readout in multiline bSSFP can cause severe Nyquist artifacts. Additionally, extra magnitude and phase differences among the echoes also exist within the echo train, making it more complicated. In this study, a joint-GRAPPA based 2D phase correction method is proposed, which can robustly correct artifacts in multi-echo bSSFP with different ETLs while maintaining the image SNR. To evaluate its performance, this approach is also compared to other parallel imaging based correction methods.

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