Research on the Fast Displacement Estimation of Two Dimensional
Ultrasound RF Signals with Prediction
ZHANG Yao-nan1,2,SUN Ting-ting2
1.College of Electronics and Information
Engineering, Siyuan University, Xi’an
Shaanxi 710038, China; 2.School of
Sino-Dutch Biomedical and Information
Engineering, Northeastern University,
Shenyang Liaoning 110169, China
Abstract：In myocardial elastography, the quantitative displacement analysis of Frequency Radio (RF)
signals is the precondition of obtaining accurate elasticity data. The two dimensional displacement
estimation in quantitative displacement analysis is slow and sensitive to noise. Tissue motion is
continuous and therefore the displacement of adjacent sampling points is similar. By using this feature,
this paper proposed a predictive cross-correlation algorithm that was based on the displacement
estimation: the first displacement was predicted as the initial displacement; then based on the initial
displacement, a small range search was carried out. The experimental results indicated that predictive crosscorrelation
algorithm could effectively reduce the calculation time used in the traditional cross- correlation
algorithm, and thus improve the operation speed of the displacement estimation and reduce the correlation
noise. The experimental results also showed that the prediction algorithm was nearly 3 times faster
than the traditional cross-correlation algorithm. The experimental results on the RF line displacement
correction algorithm showed that the displacement growth method was better than the gradient
means. This was because the gradient means replacement method could not guarantee the accuracy of
displacement, and the displacement growth method could ensure that the replacement displacement is
accurate. By comparing the experimental results with two kinds of displacement prediction methods for
seed RF line, the paper found out that the neighborhood correlation coefficient method as a predictive
method was better than that of the direct neighbor method. This was because the neighborhood correlation
coefficient method could ensure the accuracy of the judgment during the process of determining the mean
value of the displacement prediction, thus avoid the spread of the erroneous displacement and improve
the accuracy of displacement estimation.
张耀楠1,2，孙婷婷2. 带有预测的二维超声射频信号快速位移估计方法的研究[J]. 中国医疗设备, 2016, 31(5): 30-35.
ZHANG Yao-nan1,2,SUN Ting-ting2. Research on the Fast Displacement Estimation of Two Dimensional
Ultrasound RF Signals with Prediction. China Medical Devices, 2016, 31(5): 30-35.
