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Abstract #3165

Automatic no-reference image quality rating metrics in DL-reconstructed image quality assessment and protocol optimization

Yaan Ge1, Xiaolan Liu1, Qingyu Dai1, and Kun Wang1
1GE Healthcare, Beijing, China


This study proposed an automatic no-reference image quality rating metrics (VSS score) based on SVR model, that not requiring clinical expert labeled data, simulating human visual sense and applicable to all anatomies and contrast. The feasibility of applying this rating metrics in DL-recon integrated rapid scan protocol automatic evaluation is demonstrated. The result shows VSS score is in good correlation with visual sense to image quality and outperformed BRISQUE and PIQUE rating algorithms.

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