Fat-water separation in dynamic objects, with a novel approach based on the Dixon and UNFOLD methods
Ababneh R, Madore B
Brigham and Women's Hospital
We present a novel approach for fat-water separation in dynamic objects. The approach can be seen as a hybrid combination of the Dixon method and of the UNFOLD method. While UNFOLD typically involves changing the sampling function from time frame to time frame to separate aliased and non-aliased signals, our approach changes TE from time frame to time frame instead, to separate fat and water signals. As a result, fat signal is forced to behave in peculiar ways through time, so it can be detected and separated from the (high-temporal resolution) water signal.