The 2016 QSM Reconstruction Challenge urged the need for a suitable quality measure of susceptibility maps as classical image quality measures (root-mean-square error, high-frequency error-norm, structural similarity index) were no suitable indicators of the visual quality of susceptibility maps. Errors (noise, smoothing, streaking) were added to a reference susceptibility map and the sharpness-index-weighted structural similarity index was used to evaluate the degraded quantitative susceptibility maps and to compare the result with classical image quality measures. The sharpness-index-weighted structural similarity index was shown to be a suitable measure for QSM image quality with a strong devaluation of over-smoothed images.
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