Abstract #2707

Validation of Fat Quantification with T2* Correction and Accurate Spectral Modeling in a Novel Fat-Water-Iron Phantom

Catherine DG. Hines¹, Huanzhou Yu², Ann Shimakawa², Charles A. McKenzie³, Venkata V. Chebrolu¹, Jean H. Brittain⁴, Scott B. Reeder^1,5

¹Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA; ²Applied Science Laboratory, GE Healthcare, Menlo Park, CA, USA; ³Medical Biophysics, University of Western Ontario, London, Ontario; ⁴Applied Science Laboratory, GE Healthcare, Madison, WI, USA; ⁵Radiology, University of Wisconsin-Madison, Madison, WI, USA

Accurate quantification of fat with MRI requires phantoms with accurately known mixtures of water and fat for the development and validation of new MRI methods that correct for confounding factors such as T2* and the complex spectrum of fat. Construction of a novel phantom containing controlled, homogeneous amounts of fat, water, and iron is described, and used to validate chemical shift based fat-water separation methods of fat quantification that correct for T2* and use accurate spectral modeling of fat. Results demonstrate the accuracy and utility of the designed phantom and excellent correlation of imaging fat-fractions to known fat-fractions.