This paper proposes a new image quality assessment (IQA) for no-reference MRI, Quality Evaluation using Multi-DIrectional filters for MRI (QEMDIM), that is obtained from difference of statistical features between test images and numerous pre-scanned images in Mean Subtracted Contrast Normalization (MSCN) coefficient and Multi-Directional Filtered Coefficients (MDFC). the proposed method is capable of detecting various types of artifact and can be applied to clinical applications as well as being used to evaluate the performance of MRI hardware and software
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