The Removal of Wall Components in Doppler Ultrasound Signals by Using the Empirical Mode Decomposition Algorithm
The Removal of Wall Components in Doppler Ultrasound Signals by Using the Empirical Mode Decomposition Algorithm
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DOI：
10.1109/tbme.2007.891936
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发表时间：
2007-08
影响因子：
4.6
通讯作者：
Yufeng Zhang;Yali Gao;Le Wang;Jianhua Chen;Xinling Shi
中科院分区：
文献类型：
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作者：
Yufeng Zhang;Yali Gao;Le Wang;Jianhua Chen;Xinling Shi
用于血管疾病的非侵入性检测的多普勒超声系统通常采用高通滤波器（HPF）来从血流信号中去除来自血管壁的大的低频分量。不幸的是，该滤波器还去除了由缓慢移动的血液产生的低频多普勒信号。在本文中，我们提出了一种新的技术，称为经验模式分解（EMD），以消除混合信号中的壁成分。EMD首先将信号分解为有限的且通常是少量的单个分量，称为固有模式函数（IMF）。然后，基于壁-血信号比（WBSR）的两个相邻值之间的比率的策略已被开发，以自动识别和去除有助于壁组件的相关IMF。将该方法应用于模拟和临床超声多普勒信号的处理。与传统的高通滤波方法相比，该方法能够更有效、客观地去除混合信号中的壁成分，为我们提供更准确的低血流信号。
Doppler ultrasound systems, used for the noninvasive detection of the vascular diseases, normally employ a high-pass filter (HPF) to remove the large, low-frequency components from the vessel wall from the blood flow signal. Unfortunately, the filter also removes the low-frequency Doppler signals arising from slow-moving blood. In this paper, we propose to use a novel technique, called the empirical mode decomposition (EMD), to remove the wall components from the mixed signals. The EMD is firstly to decompose a signal into a finite and usually small number of individual components named intrinsic mode functions (IMFs). Then a strategy based on the ratios between two adjacent values of the wall-to-blood signal ratio (WBSR) has been developed to automatically identify and remove the relevant IMFs that contribute to the wall components. This method is applied to process the simulated and clinical Doppler ultrasound signals. Compared with the results based on the traditional high-pass filter, the new approach obtains improved performance for wall components removal from the mixed signals effectively and objectively, and provides us with more accurate low blood flow.