Abstract #1021

Triglyceride Saturation Estimation using Phase- and Amplitude-Modulated Bipolar MRI

Manuel Schneider¹, Felix Lugauer¹, Dominik Nickel², Berthold Kiefer², Sungheon Gene Kim^3,4, Linda Moy^3,4, Andreas Maier¹, and Mustafa R Bashir^5,6,7

¹Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, ²MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, ³Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, ⁴Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, ⁵Radiology, Duke University Medical Center, Durham, NC, United States, ⁶Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, United States, ⁷Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC, United States

Our purpose was to develop a robust method to estimate triglyceride saturation from bipolar multi-gradient-echo MRI data. Discrepancies in amplitude and phase between even and odd echoes were addressed analytically. The method was demonstrated in abdominal (n=5 patients) and breast (n=1 volunteer) MRI data. Compared to calculating fatty acid composition parameters without modeling amplitude modulations, the proposed method reduced the intensity shift in the readout direction in the estimated parameter maps, but also led to artifacts at water/fat borders.

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