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Abstract #2205

Suitable image quality measures to evaluate quantitative susceptibility maps

Janis Stiegeler1 and Sina Straub1

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

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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