Use of Non-Rayleigh Statistics for Ultrasonic Tissue Characterization

本研究将通过使用幻影和分析模型来研究超声图像中发现的斑点的非高斯性质。对散射体回波的包络、相位和相关性的分析将用于建立超声散射的一般模型。利用该模型提出组织分类方案，并对这些方案进行定性和定量评价。还将实现一个抑制散斑的处理器。这项研究很重要，因为其结果可以帮助改进组织分类，特别是使用超声波区分正常组织和异常组织的能力。

This study will investigate the non-Gaussian nature of speckle found in ultrasonic images through the use of phantoms and analytical models. Analyses of the envelope, phase and correlation of the echoes from the scatterers will be used to develop a general model for ultrasonic scattering. Using the model, tissue classification schemes will be suggested along with qualitative and quantitative evaluation of these schemes. A processor to suppress speckle also will be implemented. This research is important because the results could help improve tissue classification and, in particular, the ability to distinguish normal from abnormal tissue using ultrasound.