超声血流成像中的壁滤波器设计方法分析与性能比较
发布时间：2018-07-16 18:35
【摘要】：有效抑制由静态或慢动组织引起的杂波是诊断超声彩色血流成像技术研究的关键问题之一,不充分的杂波抑制将导致多普勒平均频率估计趋同于杂波成分特性,从而导致潜在的血流信息描述误差。本文在研究广义壁滤波器设计原理基础之上,比较了三种不同类型壁滤波器——投影初始化有限冲击响应滤波器(Prj-IIR)、多项式回归滤波器(Pol-Reg)与基于特征值分解(Eigen-based)滤波器的设计方法差异,并对其杂波抑制性能进行了仿真对比分析。血流平均频率一维自相关估计结果表明,投影初始化IIR壁滤波器与多项式回归壁滤波器杂波抑制性能相近,在平稳杂波环境下可实现血流平均速度的精确估计,当多普勒采样向量包含样本数据增加时,改变设计参数可进一步改善杂波抑制能力,而基于特征值分解的壁滤波器则可对非平稳杂波进行抑制,进一步改善低速血流的估计精度,而且在多普勒矢量包含样本数小于10的情况下,计算复杂度并无显著增加。
[Abstract]:The effective suppression of clutter caused by static or slow-moving tissue is one of the key problems in the study of diagnostic ultrasound color flow imaging (CDFI). Insufficient clutter suppression will lead to the convergence of Doppler average frequency estimation to the clutter component characteristics. This results in potential blood flow information description error. Based on the study of the design principle of generalized wall filter, Three different types of wall filters (Prj-IIR), Pol-Reg filters (Pol-Reg) and Eigen-based filters (Eigen-based) are compared. The performance of clutter suppression is compared and analyzed by simulation. The results of one-dimensional autocorrelation estimation of mean blood flow frequency show that the clutter suppression performance of projection initialized IIR wall filter is similar to that of polynomial regression wall filter, and the accurate estimation of blood flow average velocity can be realized under stationary clutter environment. When the Doppler sampling vector contains more sample data, the clutter suppression ability can be further improved by changing the design parameters, while the non-stationary clutter can be suppressed by the wall filter based on eigenvalue decomposition. The estimation accuracy of low velocity blood flow is further improved, and the computational complexity is not significantly increased when the Doppler vector contains less than 10 samples.
【作者单位】： 电子科技大学自动化工程学院;长庆油田分公司第一采气厂;
【分类号】：R445.1;TN713
本文编号：2127276
[Abstract]:The effective suppression of clutter caused by static or slow-moving tissue is one of the key problems in the study of diagnostic ultrasound color flow imaging (CDFI). Insufficient clutter suppression will lead to the convergence of Doppler average frequency estimation to the clutter component characteristics. This results in potential blood flow information description error. Based on the study of the design principle of generalized wall filter, Three different types of wall filters (Prj-IIR), Pol-Reg filters (Pol-Reg) and Eigen-based filters (Eigen-based) are compared. The performance of clutter suppression is compared and analyzed by simulation. The results of one-dimensional autocorrelation estimation of mean blood flow frequency show that the clutter suppression performance of projection initialized IIR wall filter is similar to that of polynomial regression wall filter, and the accurate estimation of blood flow average velocity can be realized under stationary clutter environment. When the Doppler sampling vector contains more sample data, the clutter suppression ability can be further improved by changing the design parameters, while the non-stationary clutter can be suppressed by the wall filter based on eigenvalue decomposition. The estimation accuracy of low velocity blood flow is further improved, and the computational complexity is not significantly increased when the Doppler vector contains less than 10 samples.
【作者单位】： 电子科技大学自动化工程学院;长庆油田分公司第一采气厂;
【分类号】：R445.1;TN713
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