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Abstract #2908

Noise Analysis for Chemical Shift Based Water-Fat Separation with Independent T2* Correction for Water and Fat

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.