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Abstract #2847

Independent Estimation of T2* for Water and Fat for Improved Accuracy of Fat Quantification

Venkata Veerendranadh Chebrolu1, Catherine D G Hines1, Huanzhou Yu2, Angel R. Pineda3, Ann Shimakawa2, Charles McKenzie4, Jean H. Brittain5, Scott B. Reeder1,6

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; 5MR Global Applied Science Lab, GE Healthcare, Madison, WI, USA; 6Radiology, University of Wisconsin Madison, Madison, WI, USA

Non-invasive quantification of intracellular fatty accumulation of the liver (steatosis) is needed for early detection and grading of fatty liver disease, the leading cause of chronic liver disease. T2* values of water and fat are independently estimated using a modified Gauss-Newton method for multiple variables, relaxing the assumptions made by single exponential T2* correction methods, that assume a common value of T2* for both water and fat. Accurate quantification of fat is demonstrated with independent estimation of T2* values for water and fat, in phantom experiments.