Diego Hernando1, Dimitrios C. Karampinos2, Kevin F. King3, Justin Haldar1, John G. Georgiadis2, Zhi-Pei Liang1
1Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 2Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 3Applied Science Laboratory, General Electric Healthcare, Waukesha, WI, USA
The signal from olefinic fat protons in body DW-EPI is typically unaffected by chemical shift-based fat suppression methods, and introduces severe bias in the estimation of diffusion parameters. In this work, we propose a Dixon method for robust separation of water and olefinic fat signal. The proposed method uses magnitude images to avoid the phase distortions typical of DW-EPI. The method is demonstrated on phantom and in vivo datasets, and its performance is evaluated using Cramer-Rao bound analysis.
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