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使用自回归建模对脉动血流进行多普勒角度估计。

Doppler angle estimation of pulsatile flows using AR modeling.

作者信息

Yeh Chih-Kuang, Li Pai-Chi

机构信息

Department of Electrical Engineering, National Taiwan University, Taipei, ROC.

出版信息

Ultrason Imaging. 2002 Apr;24(2):65-80. doi: 10.1177/016173460202400201.

Abstract

In quantitative ultrasonic flow measurements, the beam-to-flow angle (i.e., Doppler angle) is an important parameter. An autoregressive (AR) spectral analysis technique in combination with the Doppler spectrum broadening effect was previously proposed to estimate the Doppler angle. Since only a limited number of flow samples are used, real-time two-dimensional Doppler angle estimation is possible. The method was validated for laminar flows with constant velocities. In clinical applications, the flow pulsation needs to be considered. For pulsatile flows, the flow velocity is time-varying and the accuracy of Doppler angle estimation may be affected. In this paper, the AR method using only a limited number of flow samples was applied to Doppler angle estimation of pulsatile flows. The flow samples were properly selected to derive the AR coefficients and then more samples were extrapolated based on the AR model. The proposed method was verified by both simulations and in vitro experiments. A wide range of Doppler angles (from 3o degrees to 78 degrees) and different flow rates were considered. The experimental data for the Doppler angle showed that the AR method using eight flow samples had an average estimation error of 3.50 degrees compared to an average error of 7.08 degrees for the Fast Fourier Transform (FFT) method using 64 flow samples. Results indicated that the AR method not only provided accurate Doppler angle estimates, but also outperformed the conventional FFT method in pulsatile flows. This is because the short data acquisition time is less affected by the temporal velocity changes. It is concluded that real-time two-dimensional estimation of the Doppler angle is possible using the AR method in the presence of pulsatile flows. In addition, Doppler angle estimation with turbulent flows is also discussed. Results show that both the AR and FFT methods are not adequate due to the spectral broadening effects from the turbulence.

摘要

在定量超声流量测量中,声束与血流夹角(即多普勒角)是一个重要参数。此前有人提出将自回归(AR)谱分析技术与多普勒频谱展宽效应相结合来估计多普勒角。由于仅使用了有限数量的血流样本,因此实现实时二维多普勒角估计成为可能。该方法已针对恒定速度的层流进行了验证。在临床应用中,需要考虑血流脉动。对于脉动血流,血流速度随时间变化,这可能会影响多普勒角估计的准确性。本文将仅使用有限数量血流样本的AR方法应用于脉动血流的多普勒角估计。通过适当选择血流样本以导出AR系数,然后基于AR模型外推更多样本。所提出的方法通过模拟和体外实验得到了验证。考虑了广泛的多普勒角范围(从30度到78度)和不同的流速。多普勒角的实验数据表明,使用8个血流样本的AR方法平均估计误差为3.50度,而使用64个血流样本的快速傅里叶变换(FFT)方法平均误差为7.08度。结果表明,AR方法不仅能提供准确的多普勒角估计,而且在脉动血流中优于传统的FFT方法。这是因为较短的数据采集时间受时间速度变化的影响较小。得出结论,在存在脉动血流的情况下,使用AR方法进行多普勒角的实时二维估计是可行的。此外,还讨论了湍流的多普勒角估计。结果表明,由于湍流引起的频谱展宽效应,AR方法和FFT方法都不够理想。

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