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Combination of Spatial Domain Filters for Speckle Noise Reduction in Ultrasound Medical Images

机译:结合空间域滤波器降低超声医学图像中的斑点噪声

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The occurrence of speckle noise in medical Ultrasound (US) images poses a big challenge to medical practitioners over last several years. Speckle noise reduces the fine details present in the images and hence make it more difficult to diagnose. In this paper, a~novel method based on the combination of three spatial domain filters is presented. The output of these filters is combined on the basis of an Intensity Classifier Map (ICF) formed using Coefficient of Dispersion (CoD) parameter. Experiments were conducted on synthetic and real US images. Quantitative and qualitative analysis of the proposed method is carried out in comparison to other six existing methods. It has been found from the obtained results that proposed method delivers observable improvement in all quantitative parameters undertaken for synthetic US image and in MVR value for real US images. Also, the effectiveness of the proposed method is found to be consistent with qualitative assessment of the denoised images.
机译:在过去的几年中,医学超声(美国)图像中斑点噪声的出现对医学从业者构成了巨大挑战。斑点噪声会减少图像中出现的精细细节,因此使诊断更加困难。本文提出了一种基于三个空间域滤波器组合的新颖方法。这些滤波器的输出在使用色散系数(CoD)参数形成的强度分类器图(ICF)的基础上进行组合。在合成和真实的美国图像上进行了实验。与其他六种现有方法相比,对该方法进行了定量和定性分析。从获得的结果中发现,所提出的方法在针对合成美国图像采取的所有定量参数以及对于真实美国图像的MVR值方面均提供了可观察到的改进。此外,发现该方法的有效性与对降噪图像的定性评估相一致。

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