Meeting Banner
Abstract #2991

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

Hing-Chiu Chang 1 , Shayan Guhaniyogi 1 , Ying-Hui Chou 1 , and Nan-Kuei Chen 1

1 Brain Imaging and Analysis Center, Duke University Medical Center, Durham, North Carolina, United States

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here