首页> 外文会议>Pattern recognition >Comparing the Performance of Different Ultrasonic Images Enhancement for Speckle Noise Reduction in Ultrasound Images Using Techniques: A Preference Study
【24h】

Comparing the Performance of Different Ultrasonic Images Enhancement for Speckle Noise Reduction in Ultrasound Images Using Techniques: A Preference Study

机译:使用技术比较不同超声图像增强技术在超声图像中减少斑点噪声的性能:首选研究

获取原文
获取原文并翻译 | 示例

摘要

Diagnostic ultrasound (US) is an important tool in today's sophisticated medical diagnostics. Nearly every medical discipline benefits itself from this relatively inexpensive method that provides a view of the inner organs of the human body without exposing the patient to any harmful radiations. Medical diagnostic images are usually corrupted by noise during their acquisition and most of the noise is speckle noise. To solve this problem, instead of using adaptive filters which are widely used, No-Local Means based filters have been used to de-noise the images. Ultrasound images of four organs such as Abdomen, Ortho, Liver, Kidney, Brest and Prostrate of a Human body have been used and applied comparative analysis study to find out the output. These images were taken from Siemens SONOLINE G60 S System and the output was compared by matrices like SNR, RMSE, PSNR IMGQ and SSIM. The significance and compared results were shown in a tabular format.
机译:诊断超声(US)是当今复杂医学诊断中的重要工具。几乎每个医学学科都从这种相对便宜的方法中受益,这种方法可以提供人体内部器官的视野,而不会使患者暴露于任何有害的辐射下。医学诊断图像通常在采集过程中被噪声破坏,并且大多数噪声是斑点噪声。为了解决该问题,代替使用广泛使用的自适应滤波器,已经使用基于无局部均值的滤波器对图像进行去噪。已使用人体的四个器官(如腹部,邻位,肝,肾,布雷斯特和前列腺)的超声图像,并进行了比较分析研究以找出输出结果。这些图像取自Siemens SONOLINE G60 S System,并通过SNR,RMSE,PSNR IMGQ和SSIM等矩阵比较了输出。显着性和比较结果以表格形式显示。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号