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Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors.基于混合先验的复杂小波域医学超声图像斑点噪声抑制
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Medical image noise reduction using the Sylvester-Lyapunov equation.使用西尔维斯特-李雅普诺夫方程的医学图像降噪
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Fundamental correlation lengths of coherent speckle in medical ultrasonic images.医学超声图像中相干散斑的基本相关长度。
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Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers.从任意形状、变迹和激励的超声换能器计算压力场。
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超声去斑增强对比。

Ultrasound despeckling for contrast enhancement.

机构信息

Department of Engineering and Technology,Western Carolina University, Cullowhee, NC 28723, USA.

出版信息

IEEE Trans Image Process. 2010 Jul;19(7):1847-60. doi: 10.1109/TIP.2010.2044962. Epub 2010 Mar 11.

DOI:10.1109/TIP.2010.2044962
PMID:20227984
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2919295/
Abstract

Images produced by ultrasound systems are adversely hampered by a stochastic process known as speckle. A despeckling method based upon removing outlier is proposed. The method is developed to contrast enhance B-mode ultrasound images. The contrast enhancement is with respect to decreasing pixel variations in homogeneous regions while maintaining or improving differences in mean values of distinct regions. A comparison of the proposed despeckling filter is compared with the other well known despeckling filters. The evaluations of despeckling performance are based upon improvements to contrast enhancement, structural similarity, and segmentation results on a Field II simulated image and actual B-mode cardiac ultrasound images captured in vivo.

摘要

超声系统产生的图像受到一种称为散斑的随机过程的不利影响。提出了一种基于去除异常值的去斑方法。该方法是为了对比增强 B 型超声图像而开发的。对比度增强是通过减少均匀区域中的像素变化来实现的,同时保持或提高不同区域的平均值差异。将所提出的去斑滤波器与其他著名的去斑滤波器进行了比较。去斑性能的评估是基于对对比度增强、结构相似性和分割结果的改进,这些改进是基于 Field II 模拟图像和实际体内采集的 B 型心脏超声图像进行的。