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Improvement of displacement estimation of breast tissue in ultrasound elastography using the monogenic signal

机译:利用单基因信号改善超声弹性成像中乳腺组织的位移估计

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摘要

BackgroundIn breast ultrasound elastography, tissues displacements estimation is obtained through a technique that follows the evolution of tissues under stress. However, during the acquisition of B-mode images, tissue displacements are often contaminated with multiplicative noise caused by changes in the speckle pattern in the tissue. Thus, the application of monogenic signal technique on the B-mode image in order to estimate displacement tissue, result in a presence of amplified noise in the deformation tissue image, which severely obscures the useful information. In this paper, we propose a new method based on the monogenic features, that is to improve the old monogenic signal (OMS) technique by improving the filtering step, so that the use of an effective denoising technique is enough to ensure a good estimation of displacement tissue. Our proposed method is based on the use of a robust filtering technique combined with the monogenic model.
机译:背景技术在乳房超声弹性成像中,组织位移估计是通过跟踪应力下组织演变的技术获得的。但是,在B模式图像的采集过程中,组织位移经常受到组织斑点图像变化引起的倍增噪声的污染。因此,在B模式图像上应用单基因信号技术以估计位移组织,会导致变形组织图像中存在放大的噪声,这严重掩盖了有用的信息。在本文中,我们提出了一种基于单基因特征的新方法,即通过改进滤波步骤来改进旧的单基因信号(OMS)技术,从而使用有效的降噪技术足以确保对信号的良好估计。移位组织。我们提出的方法基于结合单基因模型的鲁棒过滤技术的使用。

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