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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