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Abstract #1820

Temperature and B0 Field Measurment Bias of Multi-Echo Fat-Water Fitting Algorithms

Cory Robert Wyatt1, Brian J. Soher2, James R. MacFall2

1Department of Biomedical Engineering, Duke University, Durham, NC, United States; 2Department of Radiology, Duke University Medical Center, Durham, NC, United States

Multi-echo fat-water separation techniques, such as IDEAL, have been shown to be effective in measuring temperature changes in fatty tissue, but often make assumptions that allow them to linearize the model in order to simplify the computation of a solution. This can result in the addition of significant bias to the measurement of the temperature and the B0 field offset, both important parameters to monitor during therapeutic heat applications (tumor ablation, hyperthermia). In this work, the bias of a multi-peak IDEAL algorithm (without T2* decay) and a new nonlinear fitting algorithm is characterized using Monte Carlo simulations.