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使用改进型伽柏滤波器的超声散斑减少

Ultrasound speckle reduction using modified Gabor filters.

作者信息

Dantas Ricardo G, Costa Eduardo T

机构信息

Biomedical Engineering Center (CEB), Biomedical Engineering Department, Electrical and Computer Engineering Faculty (DEB/FEEC), State University of Campinas (UNICAMP), CP. 6040, Campinas, SP, Brazil.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2007 Mar;54(3):530-8. doi: 10.1109/tuffc.2007.276.

Abstract

B-mode ultrasound images are characterized by speckle artifact, which may make the interpretation of images difficult. One widely used method for ultrasound speckle reduction is the split spectrum processing (SSP), but the use of one-dimensional (1-D), narrow-band filters makes the resultant image experience a significant resolution loss. In order to overcome this critical drawback, we propose a novel method for speckle reduction in ultrasound medical imaging, which uses a bank of wideband 2-D directive filters, based on modified Gabor functions. Each filter is applied to the 2-D radio-frequency (RF) data, resulting in a B-mode image filtered in a given direction. The compounding of the filters outputs give rise to a final image in which speckle is reduced and the structure is enhanced. We have denoted this method as directive filtering (DF). Because the proposed filters have effectively the same bandwidth as the original image, it is possible to avoid the resolution loss caused by the use of narrow-band filters, as with SSP. The tests were carried out with both simulated and real clinical data. Using the signal-to-noise ratio (SNR) to quantify the amount of speckle of the ultrasound images, we have achieved an average SNR enhancement of 2.26 times with simulated data and 1.18 times with real clinical data.

摘要

B 型超声图像具有斑点伪像的特征,这可能会使图像解读变得困难。一种广泛使用的超声斑点减少方法是分裂谱处理(SSP),但使用一维(1-D)窄带滤波器会使所得图像出现显著的分辨率损失。为了克服这一关键缺点,我们提出了一种用于超声医学成像中斑点减少的新方法,该方法基于改进的伽柏函数,使用一组宽带二维定向滤波器。每个滤波器应用于二维射频(RF)数据,从而得到在给定方向上滤波的 B 型图像。滤波器输出的复合产生最终图像,其中斑点减少且结构得到增强。我们将此方法称为定向滤波(DF)。由于所提出的滤波器与原始图像具有有效相同的带宽,因此有可能避免像 SSP 那样因使用窄带滤波器而导致的分辨率损失。使用模拟和真实临床数据进行了测试。使用信噪比(SNR)来量化超声图像的斑点量,我们在模拟数据上实现了平均 SNR 增强 2.26 倍,在真实临床数据上实现了 1.18 倍。

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