Abstract #2938
High-quality and self-navigated diffusion-weighted imaging enabled by a novel interleaved block-segmented ( iblocks ) EPI
Hing-Chiu Chang 1 , Mei-Lan Chu 1 , Mark Sundman 1 , and Nan-Kuei Chen 1
1
Brain Imaging and Analysis Center, Duke
University Medical Center, Durham, North Carolina,
United States
High-resolution and high-quality DWI can be achieved by
using different multi-shot EPI acquisition techniques.
Recently, the multiplexed sensitivity-encoding encoded
reconstruction method (MUSE) was developed to remove
aliasing artifacts in interleaved DW-EPI to shot-to-shot
phase variation without need requiring external of
navigator echoes. MoreoverThe MUSE algorithm integrated
implemented with projection onto convex sets based
algorithm framework (POCSMUSE) further enables the
flexibility of high-resolution DWI obtained with
arbitrary k-space trajectoriesy for multi-shot based
acquisition with phase variation correction. In this
study, first, a noveln interleaved block-segmented
(iblocks) DW-EPI with 1) inherent and self-navigated
phase variation correction and 2) reduced geometric
distortion is purposeddeveloped;. Secondsecond, the new
developed POCSMUSE algorithm is used to reconstruct the
iblocks DWI image data with phase variation
correctioninherent phase correction.
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