Interleaved EPI Based fMRI Improved by Integration of Multiplexed Sensitivity Encoding (MUSE) and Simultaneous Multi-band Imaging

Interleaved EPI based fMRI is highly susceptible to unstable aliasing artifacts across the FOV as a result of B0 drifting over time, physiological noises and subject motion. The recently developed multiplexed sensitivity-encoding (MUSE) post-processing algorithm can suppress the in-plane aliasing artifacts resulting from time-domain signal instabilities during dynamic scans. In this study, the MUSE algorithm is further developed and generalized to accommodate high-throughput fMRI data obtained with multi-band interleaved EPI pulse sequence, suppressing both in-plane and through-plane aliasing artifacts and improving image throughput.

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