Abstract #2773

Fat Content and Fatty Acid Composition Quantification Using a 3D Stack-of-Radial Trajectory With Adaptive Gradient Calibration

Manuel Schneider¹, Felix Lugauer¹, Elisabeth Hoppe¹, Dominik Nickel², Brian M Dale³, Berthold Kiefer², Andreas Maier¹, and Mustafa R Bashir^4,5

¹Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, ²MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, ³MR R&D Collaborations, Siemens Healthineers, Cary, NC, United States, ⁴Radiology, Duke University Medical Center, Durham, NC, United States, ⁵Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, United States

The purpose of this study was to evaluate the effect of an adaptive gradient calibration technique for a 3D stack-of-radial sequence with regard to magnitude- and complex-based fat content quantification and triglyceride saturation estimation. In-vivo measurements in two healthy volunteers showed that gradient calibration improved the accuracy of complex fitted fat fraction and fatty acid maps. Gradient calibration only had a minor impact on magnitude-based fat fraction results.

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