Abstract #3995

Improved Regularization for Quantitative Susceptibility Mapping of Liver Iron Overload

Julia V Velikina¹, Ruiyang Zhao^1,2, Collin Buelo², Alexey A Samsonov¹, Scott Reeder^1,2,3,4,5, and Diego Hernando^1,2

¹Radiology, University of Wisconsin-Madison, Madison, WI, United States, ²Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, ³Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, ⁴Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States, ⁵Medicine, University of Wisconsin - Madison, Madison, WI, United States

QSM may enable accurate quantification of liver iron overload. However, QSM of the abdomen faces a number of unique challenges due to large variations in susceptibility, presence of fat, and motion, which further confound the ill-posed inverse problem. We propose an approach to optimize the use of additional information provided by CSE imaging to regularize the QSM inversion problem. We validated this approach at 3T in patients with various levels of iron overload, including assessment of test-retest repeatability. This approach resulted in significantly reduced shading artifact, improved quality of susceptibility maps, and higher repeatability of measurements.

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