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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >A new time-domain narrowband velocity estimation technique for Doppler ultrasound flow imaging. I. Theory
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A new time-domain narrowband velocity estimation technique for Doppler ultrasound flow imaging. I. Theory

机译：多普勒超声血流成像的一种新的时域窄带速度估计技术。一，理论

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摘要

A significant improvement in blood velocity estimation accuracy can be achieved by simultaneously processing both temporal and spatial information obtained from a sample volume. Use of the spatial information becomes especially important when the temporal resolution is limited. By using a two-dimensional sequence of spatially sampled Doppler signal "snapshots" an improved estimate of the Doppler correlation matrix can be formed. Processing Doppler data in this fashion addresses the range-velocity spread nature of the distributed red blood cell target, leading to a significant reduction in spectral speckle. Principal component spectral analysis of the "snapshot" correlation matrix is shown to lead to a new and robust Doppler mode frequency estimator. By processing only the dominant subspace of the Doppler correlation matrix, the Cramer-Rao bounds on the estimation error of target velocity is significantly reduced in comparison to traditional narrowband blood velocity estimation methods and achieves almost the same local accuracy as a wideband estimator. A time-domain solution is given for the velocity estimate using the root-MUSIC algorithm, which makes the new estimator attractive for real-time implementation.
机译：通过同时处理从样本量获得的时间和空间信息，可以大大提高血流速度估计的准确性。当时间分辨率受到限制时，空间信息的使用变得尤为重要。通过使用二维序列的空间采样多普勒信号“快照”，可以形成对多普勒相关矩阵的改进估计。以这种方式处理多普勒数据解决了分布式红细胞靶标的范围-速度扩散特性，从而导致光谱斑点显着减少。 “快照”相关矩阵的主成分频谱分析显示出了一种新的，鲁棒的多普勒模式频率估计器。通过仅处理多普勒相关矩阵的主要子空间，与传统的窄带血流速度估计方法相比，目标速度的估计误差的Cramer-Rao边界显着减少，并且实现了与宽带估计器几乎相同的局部精度。使用根MUSIC算法给出了速度估计的时域解决方案，这使得新的估计器对于实时实现具有吸引力。

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