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首页> 外文期刊>Iranian red crescent medical journal >Comparison of Different Edge Detections and Noise Reduction on Ultrasound Images of Carotid and Brachial Arteries Using a Speckle Reducing Anisotropic Diffusion Filter
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Comparison of Different Edge Detections and Noise Reduction on Ultrasound Images of Carotid and Brachial Arteries Using a Speckle Reducing Anisotropic Diffusion Filter

机译：使用减少斑纹各向异性扩散滤镜对颈动脉和肱动脉超声图像进行不同边缘检测和降噪的比较

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Common carotid artery (CCA) ultrasound with measurement of intima-media thickness (IMT) is a safe and noninvasive technique for assessing subclinical atherosclerosis and determining cardiovascular risks. Moreover, the pattern of wall thickening in the brachial artery (BA) is rather diffuse compared to the carotid artery and may be a more sensitive indicator of long-term systemic exposure to risk factors. Therefore noninvasive evaluation of mechanical parameters changes of both arteries has gained the attention of researchers. Objectives: The aim of this study was to compare different edge detection techniques with speckle reducing anisotropic diffusion (SRAD) de-noising filter in ultrasound images of both arteries. Patients and Methods: In a cross-sectional design, an examination was performed on ten men with mean age of 40 ± 5 years from September 2012 to March 2013 through random sampling. An ultrasonic examination of the left CCA and BA was performed. The program was designed in the MATLAB software to extract consecutive images in JPEG format from the AVI. Another program was designed in the MATLAB software to apply regions of interest (ROI) on the IMT of the posterior wall of common carotid and brachial arteries. Next, different edge detections and SRAD filter were applied to the ROI, separately. Finally, the program measured mean-squared error (MSE) and peak signal to noise ratio (PSNR). Results: The lowest values of MSE and highest values of PSNR were achieved by Canny edge detection with de-noising SRAD filter for IMT of left CCA and BA in 90 frames. Conclusions: Based on the result, by measuring the MSE and PSNR, this study showed Canny edge detection with SRAD filter is better than other edge detections in terms of speckle suppression and details preservation in CCA and BA ultrasound images.
机译：测量颈动脉内膜中层厚度（IMT）的颈总动脉（CCA）超声是评估亚临床动脉粥样硬化和确定心血管疾病风险的一种安全且无创的技术。此外，与颈动脉相比，肱动脉（BA）的壁增厚模式相当分散，并且可能是长期全身暴露于危险因素的更敏感指标。因此，无创评估两条动脉的机械参数变化已引起研究人员的关注。目的：本研究的目的是比较两种动脉超声图像中具有斑点减少各向异性扩散（SRAD）去噪滤波器的不同边缘检测技术。患者和方法：采用横断面设计，通过随机抽样对2012年9月至2013年3月平均年龄为40±5岁的十名男性进行检查。对左CCA和BA进行超声检查。该程序是在MATLAB软件中设计的，可以从AVI中提取JPEG格式的连续图像。在MATLAB软件中设计了另一个程序，以在颈总动脉和肱动脉后壁的IMT上应用感兴趣区域（ROI）。接下来，将不同的边缘检测和SRAD过滤器分别应用于ROI。最后，该程序测量了均方误差（MSE）和峰值信噪比（PSNR）。结果：在90帧中，通过对左CCA和BA的IMT进行去噪SRAD滤波器的Canny边缘检测，实现了MSE的最小值和PSNR的最大值。结论：基于结果，通过测量MSE和PSNR，这项研究表明，在斑点抑制和CCA和BA超声图像的细节保留方面，使用SRAD滤波器进行Canny边缘检测要优于其他边缘检测。

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