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A Fuzzy Sharpness Metric for Magnetic Resonance Images

机译:磁共振图像的模糊清晰度指标

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A fuzzy-based sharpness metric for the objective measurement of sharpness of Magnetic Resonance (MR) images is proposed in this paper. In the proposed metric, Quadratic Index of fuzziness (QIF) is used to quantitatively express image sharpness. The proposed metric is found to be superior to Maximum Local Variation (MLV) metric, Perceptual Sharpness Index (PSI), Second order Derivative based Measure of Enhancement (SDME), Blanchet's Sharpness Index (BSI) and Roffet's Blur Metric (RBM) in terms of correlation with subjective quality ratings and computational time. (C) 2018 Published by Elsevier B.V.
机译:提出了一种基于模糊的清晰度度量,用于客观测量磁共振图像的清晰度。在提出的指标中,模糊度二次指数(QIF)用于定量表示图像清晰度。发现拟议的度量在术语上优于最大局部变化(MLV)度量,感知清晰度指数(PSI),基于二阶导数的增强度量(SDME),布兰切清晰度指数(BSI)和罗菲特模糊度量(RBM)与主观质量等级和计算时间的相关性。 (C)2018由Elsevier B.V.发布

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