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An Improved Method Based on Wavelet Coefficient Correlation to Filter Noise in Doppler Ultrasound Blood Flow Signals

机译:一种基于小波相关系数的多普勒超声血流信号滤波方法

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The blood echo signal maintained through Medical ultrasound Doppler devices would always include vascular wall pulsation signal .The traditional method to de-noise wall signal is using high-pass filter, which will also remove the low-frequency part of the blood flow signal. Some scholars put forward a method based on region selective reduction, which at first estimates of the wall pulsation signals and then removes the wall signal from the mixed signal. Apparently, this method uses the correlation between wavelet coefficients to distinguish blood signal from wall signal, but in fact it is a kind of wavelet threshold de-noising method, whose effect is not so much ideal. In order to maintain a better effect, this paper proposes an improved method based on wavelet coefficient correlation to separate blood signal and wall signal, and simulates the algorithm by computer to verify its validity.
机译:通过医用超声多普勒设备维持的血液回声信号将始终包含血管壁搏动信号。传统的壁噪声消除方法是使用高通滤波器,该方法还可以去除血流信号的低频部分。一些学者提出了一种基于区域选择性减少的方法,该方法首先估计壁脉冲信号,然后从混合信号中去除壁信号。显然,该方法利用小波系数之间的相关性将血液信号与壁信号区分开来,但实际上这是一种小波阈值去噪方法,效果并不理想。为了保持较好的效果,本文提出了一种基于小波系数相关性的血液信号与壁信号分离的改进方法,并通过计算机仿真对该算法进行了验证。

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