Abstract #5615

Accuracy of Fatty Acid Quantification using Bipolar Multi-Echo MRI for Varying Numbers of Echoes

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

Multi-echo MRI data can be used to quantify the fatty acid composition of human adipose tissue. The total echo train readout length and the number of acquired echoes are important parameters affecting the overall accuracy of the fatty acid parameter maps. The purpose of this study was to quantify the expected error in fatty acid estimates depending on the used total echo train readout length, using an oil phantom at 3T. Echo train readout lengths of at least 13-14ms were required to accurately estimate the different fat components. Shorter echo train readouts led to less accurate parameter maps.

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