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Echocardiographic speckle reduction comparison

机译:超声心动图斑点减少比较

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摘要

In this paper, a detailed description and comparison of speckle reduction of medical ultrasound, and in particular echocardiography, is presented. Fifteen speckle reduction filters are described in a detailed fashion to facilitate implementation for research and evaluation. The filtering techniques considered include anisotropic diffusion, wavelet denoising, and local statistics. Common nomenclature and notation are adopted, to expedite comparison between approaches. Comparison of the filters is based on their application to simulated images, clinical videos, and a computational requirement analysis. The ultrasound simulation method provides a realistic model of the image acquisition process, and permits the use of a noise-free reference image for comparison. Application of objective quality metrics quantifies the preservation of image edges, overall image distortion, and improvement in image contrast. The computational analysis quantifies the number of operations required for each speckle reduction method. A speed-accuracy analysis of discretization methods for anisotropic diffusion is included. It is concluded that the optimal method is the OSRAD diffusion filter. This method is capable of strong speckle suppression, increasing the average SNRA of the simulated images by a factor of two. This method also shows favorable edge preservation and contrast improvement, and may be efficiently implemented.
机译:在本文中,将详细介绍和比较医学超声尤其是超声心动图的散斑。详细描述了十五个斑点减少过滤器,以促进研究和评估的实施。考虑的滤波技术包括各向异性扩散,小波去噪和局部统计。采用通用的术语和符号,以加快方法之间的比较。过滤器的比较基于它们在模拟图像,临床视频和计算需求分析中的应用。超声仿真方法提供了图像采集过程的逼真的模型,并允许使用无噪声的参考图像进行比较。客观质量指标的应用量化了图像边缘的保留,整体图像失真以及图像对比度的改善。计算分析量化了每种散斑减少方法所需的操作次数。包括各向异性扩散离散化方法的速度准确性分析。结论是,最佳方法是OSRAD扩散滤波器。这种方法能够强力抑制斑点,从而将模拟图像的平均SNRA提高两倍。该方法还显示出有利的边缘保留和对比度改善,并且可以有效地实现。

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