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Abstract #2166

Improving the Accuracy of Fat Fraction Values from a 2-Point Dixon Acquisition

Sheng-Qing Lin1, Sebastian Fonseca1, Durga Udayakumar1,2, and Ananth J. Madhuranthakam1,2
1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States


Fat fraction (FF) mapping using whole-body MRI is clinically valuable for the assessment of treatment response in diseases such as multiple myeloma. MRI FF maps can be accurately measured using multi-point acquisitions such as mDixon-Quant, however, they are not feasible for whole-body acquisitions. We have previously developed a “dark-fat” masking algorithm that can account for residual fat signal in water-only images from 2-point Dixon fat/water separation, that are readily feasible with whole-body MRI. In this study, we demonstrate the utility of this algorithm across a range of proton-density FF using a multi-compartment commercial FF phantom.

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