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首页> 外文期刊>Japanese Journal of Applied Physics. Part 1, Regular Papers & Short Notes >Boundary Detection Method for Ultrasound Diagnostic Images Using Region-Growing Approach
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Boundary Detection Method for Ultrasound Diagnostic Images Using Region-Growing Approach

机译:基于区域增长法的超声诊断图像边界检测方法

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摘要

We have proposed a boundary detection method for ultrasound diagnostic images using the Region-Growing method, which is mainly applicable to the detection of cysts. Region-Growing method, which extracts the region of interest using the image's brightness value, is optimized to be applicable to ultrasound diagnostic images. There are some cases in which the boundary is unclear in ultrasound diagnostic images, because the difference in acoustic impedance between two neighboring areas of tissue is small. In such cases, a satisfactory result cannot be obtained only by using the intensity value of the ultrasound diagnostic image. By applying the signal processing to enhance the brightness value transition, we can more easily find the boundary accurately. We adapted this method to be applicable to the diagnostic images of, for example, hyper, hypo, cystic, and mixed echoic lesions, and we confirmed that the boundary of the region of interest is obtained.
机译:我们提出了一种使用区域增长法的超声诊断图像边界检测方法,该方法主要适用于囊肿的检测。优化区域增长方法,该方法使用图像的亮度值提取感兴趣的区域,以适用于超声诊断图像。在某些情况下,由于组织的两个相邻区域之间的声阻抗差异很小,因此在超声诊断图像中边界不清楚。在这种情况下,仅通过使用超声波诊断图像的强度值不能获得令人满意的结果。通过应用信号处理来增强亮度值过渡,我们可以更轻松地准确找到边界。我们使该方法适用于例如高,低,囊性和混合回声病变的诊断图像,并且我们确认获得了感兴趣区域的边界。

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