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
Magnitude
fitting has been proposed as an alternative to complex data fitting for
quantitative chemical shift-encoded water/fat imaging. Potential advantages
of magnitude fitting include the removal of sensitivity to phase errors in
the signal and suppression of B0 field inhomogeneity effects. However, the
noise performance of magnitude fitting, relative to complex fitting, has not
been established. In this abstract, we present a quantitative comparison of
both methods, based on the bias and standard deviation of their estimates.
Our results show that complex fitting is preferable to magnitude fitting for
quantitative water/fat imaging, both in theory and in practice.