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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