Abstract #3745
Super-resolved enhancing and edge deghosting for spatiotemporally encoded single-shot MRI
Lin Chen 1 , Shuhui Cai 1 , Congbo Cai 2 , and Zhong Chen 1
1
Department of Electronic Science, Xiamen
University, Xiamen, Fujian, China,
2
Department
of Communication Engineering, Xiamen University, Xiamen,
Fujian, China
Spatiotemporally encoded (SPEN) single-shot imaging is a
recently proposed ultrafast approach, which has great
advantages in resisting field inhomogeneity and chemical
shift effects compared to echo planar imaging, but
limited by its low inherent spatial resolution.
Super-resolved (SR) reconstruction is indispensable to
SPEN approach, which can improve the spatial resolution
without additional acquisition. The existing SR
algorithms always compromise in spatial resolution to
suppress aliasing artifacts. In this abstract, we
proposed a novel SR algorithm termed super-resolved
enhancing and edge deghosting, which can provide better
spatial resolution compared to state-of-the-art SR
reconstruction algorithms in SPEN MRI.
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