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Abstract #1644

Spatiotemporally encoded single-shot MRI based on de-convolution reconstruction on 3.0 T human scanner

Jianfeng Bao 1,2 , Congbo Cai 2 , Zhong Chen 2 , and Jianhui Zhong 1

1 Department of Imaging Sciences, University of Rochester, Rochester, NY, United States, 2 Department of Electronic Science, Xiamen University, Xiamen, Fujian, China

Spatiotemporally encoded (SPEN) imaging is an emerging ultrafast MRI method that can be used to obtain 2D image in a single shot, with much less sensitivity to B0 inhomogeneity compared with EPI. However, a super-resolved reconstruction method is needed to improve spatial resolution of the SPEN image. Recently, we have demonstrated that the de-convolution reconstruction method is superior to other existing methods in simulations and studies on 7 T small animal scanner. Here, we show that the de-convolution can obtain artifact-free and high resolution images on human brain at 3.0T. This emerging ultrafast MRI method may be applied to reduce artifacts caused by B0 inhomogeneity in fMRI and DTI images.

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