Abstract #1666
An artifacts reducing approach for fat-water separation in spatiotemporally encoded single-shot MRI
Lin Chen 1 , Congbo Cai 1 , Shuhui Cai 1 , Jing Li 1 , Miao Zhang 1 , Ting Zhang 1 , and Zhong Chen 1
1
Department of Electronic Science, Xiamen
University, Xiamen, Fujian, China
Separation of fat and water signals in MRI is very
important for many clinical applications. Usual methods,
such as Dixon and IDEAL, will lead to a long scan time.
Spatiotemporally encoded (SPEN) single-shot MRI is an
alternative method to separate fat and water in
subsecond. For SPEN approach, super-resolved
reconstruction is indispensable. However, existing
algorithms will result in artifacts. In this abstract,
compressed sensing is applied to the reconstruction to
reduce the artifacts and improve the image quality. This
reconstruction algorithm would benefit the application
of SPEN single-shot MRI to fat-water separation.
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