Florian Klausmann1, Ute Ludwig1, Matthias Honal1, Daniel Knig2, Peter Deibert2, Sandra Huff1
1Department of Diagnostic Radiology, Medical Physics, University Hospital Freiburg, Freiburg, Germany; 2Department for Rehabilitation, Prevention and Sports Medicine, University Hospital Freiburg, Freiburg, Germany
Besides the total amount of adipose tissue, its distribution has recently been recognized as an important factor in the pathogenesis of metabolic diseases like diabetes mellitus. MRI is capable for space-resolved imaging of fat distributions in the human body. In this study, we present a fully automatic algorithm for fat quantification in MRI two-point Dixon data which considers partial volume effects of fat voxels, compensates B1-inhomogeneities in the MR images and separates subcutaneous and inner fat in the abdomen. MR quantification results were compared to air-displacement plethysmography measurements, which served as the standard of reference.