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Dipole inversion is the final step of the QSM algorithm. In this step, the zero cone surface in the dipole kernel makes the field-to-susceptibility inverse problem ill-posed. Current solutions are mostly based on the Bayesian approach. Compared to the L1-norm, which has been used in previous techniques, the L2-norm converges faster. Therefore, we propose to employ a reweighted L2-norm using weights...
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