计算机应用 ›› 2015, Vol. 35 ›› Issue (1): 265-269.DOI: 10.11772/j.issn.1001-9081.2015.01.0265

• 行业与领域应用 • 上一篇    下一篇

超声血流成像中基于动态域的回归和奇异值分解的杂波抑制方法

肖磊, 熊秀娟, 陈菲, 陈波   

  1. 西南科技大学 计算机科学与技术学院, 四川 绵阳621010
  • 收稿日期:2014-08-18 修回日期:2014-09-24 出版日期:2015-01-01 发布日期:2015-01-26
  • 通讯作者: 肖磊
  • 作者简介:肖磊(1988-),男,四川广汉人,硕士研究生,主要研究方向:数字信号处理、超声成像系统、嵌入式系统;熊秀娟(1988-),女,四川邻水人,硕士研究生,主要研究方向:数字信号处理、超声成像系统、嵌入式系统;陈菲(1974-),女,四川绵阳人,副教授,主要研究方向:嵌入式系统、医学影像.
  • 基金资助:

    国家自然科学基金资助项目(61202044);西南科技大学研究生创新基金资助项目(14ycxjj0062).

Clutter suppression method based on dynamic region regression and singular value decomposition in ultrasound flow image

XIAO Lei, XIONG Xiujuan, CHEN Fei, CHEN Bo   

  1. School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang Sichuan 621010, China
  • Received:2014-08-18 Revised:2014-09-24 Online:2015-01-01 Published:2015-01-26

摘要:

针对超声彩色血流成像(CFI)中杂波引起血流速度估计不准确的问题,提出了一种基于动态域的多项式回归和奇异值分解(SVD)的杂波抑制方法——ARS算法.首先,根据回波信号的时域特性和能量强度,采用动态划分法区分出信号所属范围;其次,按照信号的所属范围选取多项式回归法或SVD法动态地去除杂波成分.将所提算法与投影初始化无限脉冲响应(IIR)法、非平稳滤波法、回归滤波法和SVD法等杂波抑制方法进行仿真对比,实验结果表明:所提算法能够较好地抑制组织运动干扰(组织区信号的运动速度几乎为零,且滤波后的杂波血流比约为5.427 dB),估计出的最大血流速度(0.968 m/s)最接近于理论值,血流分布均匀,并能较好地保持血流速度剖面的完整性,得到的血流速度图像真实,质量较高.

关键词: 多普勒, 杂波抑制, 多项式回归, 奇异值分解, 彩色血流成像

Abstract:

For the inaccurate problem of the estimation of the blood flow velocity which is caused by the clutter signal in ultrasound Color Flow Imaging (CFI), this paper proposed a clutter suppression method based on dynamic region polynomial regression and Singular Value Decomposition (SVD), called ARS algorithm. First, according to the time-domain characteristics and the energy intensity of the echo signal, this method adopted the dynamic partitioning method to distinguish the range of signal; then, according to the divided range, polynomial regression method or SVD method was selected to dynamically reject the clutter signal. This paper made a simulation to compare the proposed method with the projection initialized Infinite Impulse Response (IIR) filter, the non-stationary filter, the regression filter and the SVD algorithm. The experimental results show that the proposed method can completely reject the interference of tissue motion (the velocity is almost zero in the tissue area and the clutter-to-blood ratio is about 5.427 dB after the clutter suppressing is implemented), the estimated maximum blood flow velocity (0.968 m/s) is close to the theoretical value and the blood flow distributes uniformly, the integrity of the blood flow velocity profile can be better maintained and the achieved blood flow velocity map illustrates the authentic flow velocity and high image quality.

Key words: Doppler, clutter suppression, polynomial regression, Singular Value Decomposition (SVD), Color Flow Imaging (CFI)

中图分类号: