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Abstract #1667

Water Fat Separation from a Single Spatiotemporally Encoded Echo Using k-space Peaking and Joint Regularized Estimation

Ying Chen 1 , Congbo Cai 1 , Jianhui Zhong 2 , and Zhong Chen 1

1 Department of Electronics Science,Xiamen University, Xiamen, Fujian, China, 2 Department of Imaging Sciences, University of Rochester, Rochester, New York, United States

This abstract proposed a high-resolution water fat separation algorithm using single spatiotemporally encoded echo. The overall field inhomogeneity in each spatiotemporally encoded signal line was evaluated; then spatial smoothness regularization was imposed to the signal equation set to estimate water and fat profiles in these lines; by evaluating the phase linearity of the output, the regions where intermingling may exist can be identified and were constrained with adaptive filtering regularization in the second estimation for better output. Experiment results show this technique can deliver more efficient water fat separation in many cases that is challenging or intractable for conventional methods.

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