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医学超声回波信号的统计特征。

Statistical Characterization of the Medical Ultrasound Echo Signals.

机构信息

Affiliated Hospital of Nanjing University of TCM, Nanjing, China.

出版信息

Sci Rep. 2016 Dec 19;6:39379. doi: 10.1038/srep39379.

Abstract

Medical ultrasound echo signals provide the basic information for obtaining the ultrasonic image in medical ultrasound technology. The statistics of the ultrasound echo signals reveals the systematic structure of the medical ultrasonic image via analyzing the corresponding statistical distributions. A novel statistical distribution, the ascending order K distribution, was proposed here to model the medical ultrasound echo signals. The ascending order K distribution was developed in light of the statistical analysis of the sequential waveforms in the echo signals. Comparison with the previous statistical distributions was made to verify the superiority of the ascending order K distribution. Further discussion showed the determination of the statistical principles for the ultrasound signals can enhance our understanding of the statistical principles of the ultrasound imaging, and thus, facilitate the optimization of the ultrasound image and the tissue identification in the ultrasound diagnosis.

摘要

医学超声回波信号为获取医学超声技术中的超声图像提供了基本信息。通过分析相应的统计分布,对超声回波信号的统计可以揭示医学超声图像的系统结构。本文提出了一种新的统计分布,即递增 K 分布,用于对医学超声回波信号进行建模。递增 K 分布是根据回波信号中序列波形的统计分析而开发的。与以前的统计分布进行了比较,验证了递增 K 分布的优越性。进一步的讨论表明,对超声信号的统计原理的确定可以增强我们对超声成像统计原理的理解,从而有助于优化超声图像和超声诊断中的组织识别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/5171708/9c96b2743dac/srep39379-f1.jpg

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