Suppr超能文献

超声背向散射信号的非瑞利统计特性。

Non-Rayleigh statistics of ultrasonic backscattered signals.

作者信息

Narayanan V M, Shankar P M, Reid J M

机构信息

Biomed. Eng. and Sci. Inst., Drexel Univ., Philadelphia, PA.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 1994;41(6):845-52. doi: 10.1109/58.330265.

Abstract

The statistics of the envelope of the backscattered signal from tissues have been known to vary from the well-known Rayleigh model. The K-distribution is used to model this non-Rayleigh behavior, since the generalized K-distribution encompasses a wide range of distributions like Rayleigh, Lognormal, and Rician. Computer simulations were conducted using a simple one-dimensional discrete scattering model to investigate the properties of the echo envelope. Significant departures from Rayleigh statistics were seen as the scattering cross sections of the scatterers became random. The validity of this model was also tested using data from tissue mimicking phantoms. Results indicate that the density function of the envelope can be modeled by the K-distribution and the parameters of the K-distribution can provide information on the nature of the scattering region in terms of the number as well as the scattering cross sections of the scatterers.

摘要

已知来自组织的后向散射信号包络的统计特性与著名的瑞利模型不同。K分布用于对这种非瑞利行为进行建模,因为广义K分布包含了广泛的分布,如瑞利分布、对数正态分布和莱斯分布。使用简单的一维离散散射模型进行了计算机模拟,以研究回波包络的特性。当散射体的散射截面变得随机时,可以看到与瑞利统计有显著偏差。还使用来自组织模拟体模的数据对该模型的有效性进行了测试。结果表明,包络的密度函数可以用K分布建模,并且K分布的参数可以提供关于散射区域性质的信息,包括散射体的数量和散射截面。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验