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Abstract #2681

Noise Analysis for 3-Pt Chemical Shift Based Water-Fat Separation with Accurate Spectral Modeling

Venkata Veerendranadh Chebrolu1, Huanzhou Yu2, Angel R. Pineda3, Charles McKenzie4, Jean H. Brittain5, Scott B. Reeder6

1Biomedical Engineering, University of Wisconsin Madison, Madison, WI, USA; 2Applied Science Laboratory, GE Healthcare, Menlo Park, CA, USA; 3Mathematics, California State University, Fullerton, Fullerton, CA, USA; 4Medical Biophysics, The University of Western Ontario, London, London, Ontario, Canada; 5Applied Science Laboratory, GE Healthcare, Madison, WI, USA; 6Medical Physics, University of Wisconsin Madison, Madison, WI, USA

The noise analysis for three-point decomposition of water and fat was extended to account for the multiple peaks in the spectrum of fat. The Cramer–Rao bound (CRB) was used to study the variance of the estimates of the water images by computing the maximum effective number of signals averaged (NSA) for symmetric and asymmetric echo combination. These theoretical results were verified using NSA computations for 200 water images reconstructed using single peak and multipeak IDEAL reconstruction techniques. Improved separation of water and fat is achieved with the multipeak reconstruction, because of a more accurate modeling of the fat spectrum.