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.