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Abstract #3265

Silicone, fat, and water separation using a single-pass 3D Dixon acquisition

Ken-Pin Hwang1, Jingfei Ma1, Lloyd Estkowski2, Ann Shimakawa2, Kang Wang2, Daniel Litwiller2, Zachary Slavens2, Ersin Bayram2, and Bruce Daniel3

1Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 2MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States

Separation of silicone, fat, and water is performed by using a two-step Dixon processing algorithm and a bipolar triple-echo readout in a 3D FSE sequence. The echoes are spaced for conventional water-fat separation, but the first and last echoes are also used to generate a phase map with double the phase evolution for resolving fat from silicone, which are relatively close in terms of chemical shift. Individual images of each of the three species are reconstructed in phantom and human data. The proposed method demonstrates improved SNR efficiency and robustness to field inhomogeneity compared to conventional saturation and inversion recovery techniques.

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