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 Chen^4,5, 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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