Abraam S. Soliman1, 2, Jing Yuan2, Terry M. Peters1, 2, Charles A. McKenzie1, 3
1Biomedical Engineering, University of Western Ontario, London, Ontario, Canada; 2Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada; 3Medical Biophysics, University of Western Ontario, London, Ontario, Canada
Several confounding factors can compromise the ability of MRI to accurately quantify fat, particularly B0 inhomogeneities and T2* decay. Recently, a labeling approach has been proposed to estimate B0 field variations in fat/water separation and was shown to outperform the widely-used region growing method. In this work, we extend this technique to 3D as well as integrate pixel-by-pixel calculation of T2* decay, necessary for accurate fat quantification. We demonstrate our approach on data for healthy volunteers and NAFLD patients.