Abstract #4447
High-quality and High-throughput Interleaved Diffusion Weighted EPI Enabled by Multi-band Multiplexed Sensitivity Encoding (MUSE) and Adaptive Partial Fourier Reconstruction
Hing-Chiu Chang 1 , Shayan Guhaniyogi 1 , and Nan-Kuei Chen 1
1
Brain Imaging and Analysis Center, Duke
University Medical Center, Durham, North Carolina,
United States
Multiplexed sensitivity encoding (MUSE) can effectively
remove aliasing artifact due to shot-to-shot phase
inconsistencies without relying on navigator echo.
However, the conventional partial Fourier reconstruction
procedure included in the original MUSE is highly
susceptible to motion-induced k-space energy peak
displacement, and the imaging throughput of multi-shot
MUSE is significantly lower than single-shot DWI. We
first develop a novel adaptive partial Fourier
reconstruction procedure capable of producing
high-quality multi-shot DWI, even in the presence of
motion-induced k-data energy displacement. Next, we
generalize the MUSE reconstruction to accommodate
multi-band data, so that high-throughput,
high-resolution and high-quality DWI can all be
simultaneously achieved.
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