Water–fat separation from a single spatiotemporally encoded echo based on nominal k-space peaking and joint regularized estimation

Authors

  • Ying Chen,

    1. Department of Electronics Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory for Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, China
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  • Congbo Cai,

    1. Department of Communication Engineering, Xiamen University, Xiamen, China
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  • Jianhui Zhong,

    1. Department of Biomedical Engineering, Zhejiang University, Hangzhou, China
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  • Zhong Chen

    Corresponding author
    1. Department of Electronics Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory for Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, China
    • Correspondence to: Zhong Chen, Ph.D., Department of Electronics Science, Xiamen University, Xiamen, China. E-mail: chenz@xmu.edu.cn

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Abstract

Purpose

To present a new high-resolution single-point water–fat separation algorithm based on the spatiotemporally encoded chemical shift imaging technique.

Theory

Identifying water and fat peaks on the ensemble of the nominal k-space profiles of all spatiotemporally encoded lines enables evaluation of the mean off-resonance frequencies of the two components. With utilization of the spatial smoothness and filtering regularizations, the water/fat profiles can be discriminated with twice joint linear least squares estimations line-by-line.

Methods

The effectiveness of the proposed algorithm was assessed by experiments on oil-water phantoms and in vivo in rats at 7T using a spatiotemporally encoded variant of the multishot spin-echo sequence. The results were compared with those obtained from previously proposed 1-point Dixon, 2-point Dixon, and 3-point IDEAL methods.

Results

The results demonstrate that the new technique can achieve high-quality water–fat separations, comparable in signal-to-noise ratio and contrast to the multipoint methods and is more robust in cases when large areas of low signals or motion artifacts jeopardize the results from the 1-point Dixon method.

Conclusions

The proposed technique is potentially a new viable alternative for single-point water–fat separation. Magn Reson Med 73:1441–1449, 2015. © 2014 Wiley Periodicals, Inc.

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