Venkata Veerendranadh Chebrolu1, Huanzhou Yu2,
Angel R. Pineda3, Charles A. McKenzie4, Jean H.
Brittain5, Scott B. Reeder, 1,6
1Biomedical Engineering, University of
Wisconsin Madison, Madison, WI, United States; 2Applied Science
Laboratory, GE Healthcare,, Menlo Park,, CA, United States; 3Department
of Mathematics, California State University, Fullerton, CA, United States; 4Department
of Medical Biophysics, University of Western Ontario,, London, Ontario; 5Applied
Science Laboratory, GE Healthcare,, Madison, WI, United States; 6Radiology,
University of Wisconsin Madison, Madison, WI, United States
The
noise analysis for chemical shift based decomposition of water and fat was
theoretically computed for methods that account for single and dual
exponential T2* correction along with spectral modeling of fat. The
CramerRao bound (CRB) formulation was used to study the variance of the
estimates of the water and fat images by computing the maximum effective
number of signals averaged (NSA) for a range of echo combinations and
fat-water ratios. These theoretical results predict that noise performance
degrades with independent estimation of T2* of water and fat.