Meeting Banner
Abstract #0109

Accuracy,  Repeatability, and Reproducibility of Regularized Inversions for Abdominal Quantitative Susceptibility Mapping

Julia Velikina1, Ruiyang Zhao1,2, Collin J Buelo1,2, Alexey A Samsonov1, Scott B Reeder1,2,3,4, and Diego Hernando1,2
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Medicine, University of Wisconsin-Madison, Madison, WI, United States, 4Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Synopsis

Quantitative susceptibility mapping (QSM) is a promising non-invasive technique for assessment of liver iron concentration (LIC), necessary in a number of diseases. QSM solves an ill-conditioned inverse problem, whose performance depends on the chosen regularization. This work is the first to evaluate the accuracy, repeatability, and reproducibility of liver QSM for two regularized inversion methods in a large patient population with a wide range of LIC. Our results indicate that data-adaptive regularization shows higher correlation with reference LIC values and increases repeatability/reproducibility due to its reduced sensitivity to the field map errors and regularizing effect of anatomical priors.

This abstract and the presentation materials are available to members only; a login is required.

Join Here