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Abstract #1219

Multi-Echo Multi-Segment EPI Based fMRI Using Sliding-Window Acquisition and Multiplexed Sensitivity Encoding (MUSE)

Shihui Chen1, Mei-Lan Chu2, Queenie Chan3, Nan-Kuei Chen4,5, Chun-Jung Juan6, Liyuan Liang1, and Hing-Chiu Chang1
1The University of Hong Kong, Hong Kong, Hong Kong, 2Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, Taipei, Taiwan, 3Philips Healthcare, Hong Kong, China, Hong Kong, Hong Kong, 4Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, Tucson, AZ, United States, 5Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States, Durham, NC, United States, 6Department of Medical Imaging, China Medical University Hsinchu Hospital, Taiwan, Taipei, Taiwan

Multi-echo fMRI (ME-fMRI) has been shown to be useful in differentiating BOLD and non-BOLD signals, therefore improving the sensitivity of fMRI. Parallel imaging with high acceleration factor (e.g., R ≥ 3) is indispensable to achieve reasonable TE interval and desired spatial resolution for ME-fMRI acquisition. However, the reconstructed multi-echo images with high acceleration factor may suffer from underside noise amplification due to SENSE reconstruction. In this work, we further modify multi-echo multi-segment EPI (MEMS-EPI) technique with sliding window acquisition to acquire multi-echo fMRI with high acceleration factor, and then reconstruct highly accelerated multi-echo fMRI images with MUSE algorithm.

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