The presence of dipole‐inconsistent data due to substantial noise or artifacts causes streaking artifacts in quantitative susceptibility mapping (QSM) reconstructions. Often used Bayesian approaches rely on regularizers, which in turn yield reduced sharpness. To overcome this problem, we present a novel L1‐norm data fidelity approach that is robust with respect to outliers, and therefore...
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SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.