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Abstract #5097

Chemical Shift-Based Water/fat Separation: Comparison of Fitting Models

Diego Hernando1, Zhi-Pei Liang1, Peter Kellman2

1Electrical and Computer Engineering, University of Illinois, Urbana, IL, United States; 2National Institutes of Health, Bethesda, MD, United States

Quantitative water/fat separation in MRI requires careful modeling of the acquired signal. Multiple signal models have been proposed in recent years, but their relative performance has not yet been established. This abstract presents a comparative study of 12 signal models for water/fat separation. The models were selected according to three criteria: magnitude or complex fitting, single-peak or multi-peak fat spectrum, and modeling of T2* decay. Our results show that a complex-fitting, multi-peak fat, one-decay model is preferable over a wide range of clinically relevant fat fractions and SNRs.