CFI中基于动态区域划分的非平稳杂波抑制方法

发布时间：2018-01-31 06:27

本文关键词： 超声彩色血流成像非平稳杂波抑制　出处：《电子技术应用》2014年12期 　论文类型：期刊论文

【摘要】：在超声彩色血流成像(Color Flow Imaging,简称CFI)系统中,为抑制杂波信号对血流速度估计的影响,提出了一种基于动态区域划分的非平稳杂波抑制方法。该方法首先根据回波信号的能量特性提出动态区域划分法,将回波信号动态地分割为静态组织区、杂波区和血流区三部分;然后根据信号的时域特性,结合非平稳杂波抑制法和多项式回归法进行非平稳杂波抑制。仿真结果表明,该算法滤波后的杂波血流比约为6.120 dB,能较好地抑制非平稳杂波信号,估计出的血流速度剖面完整,成像质量较高;该算法的运行时间约为0.3414 s,执行速度为非平稳杂波抑制法的3倍,具有较高的实时性。
[Abstract]:In the color Flow imaging system of ultrasonic color flow imaging, the effect of clutter signal on blood flow velocity estimation is suppressed. In this paper, a non-stationary clutter suppression method based on dynamic region partition is proposed. Firstly, according to the energy characteristics of echo signal, a dynamic region partition method is proposed, which divides the echo signal into static tissue dynamically. Clutter region and blood flow region; Then according to the time domain characteristics of the signal, the non-stationary clutter suppression method and polynomial regression method are combined to suppress the non-stationary clutter. The simulation results show that the filtered clutter blood flow ratio of the algorithm is about 6.120 dB. It can suppress the non-stationary clutter signal well, the estimated velocity profile is complete, and the imaging quality is high. The running time of the algorithm is about 0.3414 s and the execution speed is three times that of the non-stationary clutter suppression method.
【作者单位】：西南科技大学计算机科学与技术学院;
【基金】：国家自然科学基金项目(61202044) 西南科技大学研究生创新基金项目(14ycxjj059,14ycxjj062)
【分类号】：TN911.7;R445.1
【正文快照】： 0引言在临床医学领域中,CFI能够实时准确无创地探测血流速度,是诊断心血管疾病的重要技术[1]。在CFI中,探头接收到的回波信号包括血流信号、杂波信号(由血管搏动和组织慢速移动引起),通常杂波信号强度比血流信号强度高出40~80 d B[2],这给准确地估计血流速度带来了极大困难。

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