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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >An axial velocity estimator for ultrasound blood flow imaging, based on a full evaluation of the Doppler equation by means of a two-dimensional autocorrelation approach
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An axial velocity estimator for ultrasound blood flow imaging, based on a full evaluation of the Doppler equation by means of a two-dimensional autocorrelation approach

机译:用于超声血流成像的轴向速度估计器,基于二维自相关方法对多普勒方程的完整评估

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This paper introduces a new velocity estimator, referred to as the 2D autocorrelator, which differs from conventional Doppler techniques in two respects: the derivation of axial velocity values by evaluating the Doppler equation using explicit estimates of both the mean Doppler and the mean RF frequency at each range gate location; and, the 2D nature (depth samples versus pulse transmissions) of processing within the range gate. The estimator's output can be calculated by evaluating the 2D autocorrelation function of the demodulated (baseband) backscattered echoes at two lags. A full derivation and mathematical description of the estimator is presented, based on the framework of the 2D Fourier transform. The same framework is adopted to analyze two other established velocity estimators (the conventional 1D autocorrelator and the crosscorrelator) in a unifying manner, and theoretical arguments as well as experimental results are used to highlight the common aspects of all three estimators. In addition, a thorough performance evaluation is carried out by means of extensive simulations, which document the effect of a number of factors (velocity spread, range gate length, ensemble length, noise level, transmitted bandwidth) and provide an insight into the optimum parameters and trade-offs associated with individual algorithms. Overall, the 2D autocorrelator is shown to offer the best performance in the context of the specific simulation conditions considered here. Its superiority over the crosscorrelator is restricted to cases of low signal-to-noise ratios. However, the 2D autocorrelator always outperforms the conventional 1D autocorrelator by a significant margin. These comparisons, when linked to the computational requirements of the proposed estimator, suggest that it combines the generally higher performance of 2D broadband time-domain techniques with the relatively modest complexity of 1D narrowband phase-domain velocity estimators.
机译:本文介绍了一种新的速度估计器,称为2D自相关器,它在两个方面与常规多普勒技术不同:通过使用平均多普勒和平均RF频率的显式估计来评估多普勒方程,推导出轴向速度值每个范围闸的位置;以及距离门内处理的2D性质(深度采样与脉冲传输)。可以通过评估两个滞后的解调(基带)反向散射回波的2D自相关函数来计算估计器的输出。基于2D傅立叶变换的框架,给出了估算器的完整推导和数学描述。采用相同的框架以统一的方式分析另外两个已建立的速度估计器(常规一维自相关器和互相关器),并使用理论论据和实验结果来突出说明这三个估计器的共同方面。此外,还通过广泛的仿真对性能进行了全面评估,这些仿真记录了许多因素(速度扩展,距离门的长度,合奏长度,噪声水平,传输带宽)的影响,并提供了对最佳参数的洞察力和与个别算法相关的权衡。总体而言,在此处考虑的特定仿真条件下,二维自相关器显示出最佳性能。它在互相关器方面的优越性仅限于低信噪比的情况。但是,2D自相关器总是比传统的1D自相关器大很多。这些比较与所提出的估算器的计算要求相关时,表明它结合了2D宽带时域技术的更高性能和1D窄带相域速度估算器的相对适中的复杂性。

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