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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Adaptive pattern correlation for two-dimensional blood flow measurements
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Adaptive pattern correlation for two-dimensional blood flow measurements

机译：二维血流测量的自适应模式相关

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摘要

One of the major drawbacks of ultrasonic Doppler instruments in measuring blood flow is their inability to measure the velocity perpendicular to the beam. Time domain RF echo or speckle tracking has been studied as an alternative to overcome this problem. By acquiring two-dimensional (2-D) echo signals, both lateral (perpendicular to the beam) and axial (parallel to the beam) velocities can be calculated with 2-D pattern correlation algorithms. One of the disadvantages of the current 2-D pattern correlation algorithms is the extensive computation time involved in computing the 2-D cross-correlation function. In this paper, we present several time-efficient bit-pattern correlation algorithms to execute 2-D speckle tracking. The proposed algorithms first estimate the noise level from the acquired signals and use it as a priori knowledge to minimize computation time. The reduction of computation time may make it more feasible for real-time measurements of flow velocities in two dimensions. Radio frequency and video data collected from two commercial scanners are used to validate the feasibility of these proposed algorithms with porcine blood as the flowing medium in in vitro experiments. The results obtained by the proposed algorithms are in good agreement with those computed from the cross-correlation function.
机译：超声多普勒仪器在测量血流方面的主要缺点之一是无法测量垂直于电子束的速度。已经研究了时域RF回波或散斑跟踪作为克服此问题的替代方法。通过获取二维（2-D）回波信号，可以使用2-D模式相关算法来计算横向（垂直于光束）和轴向（平行于光束）的速度。当前的2-D图案相关算法的缺点之一是在计算2-D互相关函数中涉及大量的计算时间。在本文中，我们提出了几种节省时间的位模式相关算法来执行二维斑点跟踪。所提出的算法首先从采集的信号中估计噪声水平，并将其用作先验知识以最小化计算时间。减少计算时间可以使其在二维中实时测量流速更加可行。从两个商用扫描仪收集的射频和视频数据用于在体外实验中验证以猪血为流动介质的这些算法的可行性。所提出的算法获得的结果与从互相关函数计算得到的结果非常一致。

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