Susceptibility tensor imaging (STI) is a recent MRI technique that is able to quantify anisotropic magnetic susceptibilities in the human tissues. It needs at least 6 acquisitions with different rotation angles to robustly reconstruct each component of a second order tensor. Several methods have been proposed to reconstruct STI, including least squares methods or optimization algorithms. Since there is not a ground truth, it is difficult to evaluate the effectiveness of these algorithms. In this study, we propose a realistic brain human phantom to evaluate and compare different STI reconstruction algorithms.
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