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.
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