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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 flowmeasurements
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Adaptive pattern correlation for two-dimensional blood flowmeasurements

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 innmeasuring blood flow is their inability to measure the velocitynperpendicular to the beam. Time domain RF echo or speckle tracking hasnbeen studied as an alternative to overcome this problem. By acquiringntwo-dimensional (2-D) echo signals, both lateral (perpendicular to thenbeam) and axial (parallel to the beam) velocities can be calculated withn2-D pattern correlation algorithms. One of the disadvantages of thencurrent 2-D pattern correlation algorithms is the extensive computationntime involved in computing the 2-D cross-correlation function. In thisnpaper, we present several time-efficient bit-pattern correlationnalgorithms to execute 2-D speckle tracking. The proposed algorithmsnfirst estimate the noise level from the acquired signals and use it as anpriori knowledge to minimize computation time. The reduction ofncomputation time may make it more feasible for real-time measurements ofnflow velocities in two dimensions. Radio frequency and video datancollected from two commercial scanners are used to validate thenfeasibility of these proposed algorithms with porcine blood as thenflowing medium in in vitro experiments. The results obtained by thenproposed algorithms are in good agreement with those computed from thencross-correlation function
机译：超声多普勒仪器无法确保血流的主要缺点之一是无法测量垂直于电子束的速度。时域RF回波或散斑跟踪已被研究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n2-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。现有的2-D模式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，我们提出了一些高效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获取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。计算时间的减少可能使其在二维中实时测量n流速的方法更加可行。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。随后提出的算法获得的结果与随后互相关函数计算出的结果非常吻合

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