A general framework for hepatic iron overload quantification using MRI

Magnetic resonance imaging (MRI) has been considered for the quantification of iron overload in liver. Iron was found to correlate with T2* measurement using weighted images. In this work, we address problem estimation liver MRI. We propose a general framework all models proposed literature. The task is then formulated as minimization problem, and suitable regularization functions are assigned unknown model parameters. Subsequently, an alternating direction method multipliers (ADMM) used estimate these Three different derived, tested compared; namely single exponential (SEXP), bi-exponential (BiEXP), plus constant (CEXP). Simulations conducted synthetic datasets indicate good correlation between estimated ground truth models. Moreover, algorithms evaluated MRI scans nine patients concentrations, 3-Tesla scanner. values approaches those obtained by scanner console. outperform several existing methods literature estimation.