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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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