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Abstract #2483

Image-Based Determination of the Fat Signal Model for Dixon Water and Fat Imaging

Tze Yee Lim1, Jingfei Ma1

1University of Texas MD Anderson Cancer Center, Houston, TX, United States

Accurate modeling of the fat signal is important for Dixon water and fat imaging. However, many confounding factors (e.g., pulse sequence, scan parameters) of the fat signal cannot be accounted for even when the complex fat spectrum is accurately known. In this work, we present a method that can extract the amplitude and phase dependence of the fat signal directly from the different images by the Dixon acquisition. These results can then be used for processing data of the same pulse sequence and similar scan parameters from different patients.