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Quantitative measures of boundary and contrast enhancement in speckle reduction in ultrasonic B-mode images using spatial bessel filters

机译:使用空间贝塞尔滤波器的超声B型图像斑点减少中边界和对比度增强的定量测量

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摘要

The spatial Bessel filters are studied for their ability to reduce ultrasonic speckle and enhance the boundaries of regions of interest (ROI) in medical B-mode images. Using the concept of the heterogeneity index, a new parameter is defined to provide a quantitative measure of the edge visibility. It is hypothesized that this edge visibility parameter will be almost equal to unity if the ROI does not contain a boundary and greater than unity when the ROI contains a boundary. Analyses of 2 computer-synthesized images containing speckle and B-mode images of tissue-mimicking phantoms were carried out. The improvement in contrast and enhancement in edge visibility were estimated. In addition, parametric images containing a map of the edge visibility were created that showed clear boundaries. The quantitative measures strongly support the visual perception of contrast and enhanced edge visibility provided by the spatial Bessel filters. Results demonstrate the potential use of Bessel spatial filters in providing speckle reduction along with the ability to enhance the boundaries of regions of interest in B-mode images.
机译:研究了空间贝塞尔滤波器在医学B模式图像中减少超声斑点并增强感兴趣区域(ROI)边界的能力。使用异质性指数的概念,定义了一个新参数以提供对边缘可见性的定量度量。假设如果ROI不包含边界,则该边缘可见性参数将几乎等于1,而当ROI包含边界时,该边缘可见性参数将大于1。进行了2张计算机合成图像的分析,其中包含斑点和组织模拟体模的B模式图像。估计对比度的改善和边缘可见性的增强。另外,创建了包含边缘可见性图的参数图像,这些图像显示了清晰的边界。定量度量强烈支持空间贝塞尔滤波器提供的对比度的视觉感知和增强的边缘可见性。结果证明了Bessel空间滤波器在减少斑点和增强B模式图像中感兴趣区域边界的能力方面的潜在用途。

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