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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Phase-coupled two-dimensional speckle tracking algorithm
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Phase-coupled two-dimensional speckle tracking algorithm

机译:相位耦合二维斑点跟踪算法

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A new two-dimensional (2-D) speckle tracking method for displacement estimation based on the gradients of the magnitude and phase of 2-D complex correlation in a search region is presented. The novelty of this approach is that it couples the phase and magnitude gradients near the correlation peak to determine its coordinates with subsample accuracy in both axial and lateral directions. This is achieved with a minimum level of lateral interpolation determined from the angles between the magnitude and phase gradient vectors on the sampled (laterally interpolated) 2-D cross-correlation grid. The key result behind this algorithm is that the magnitude gradient vectors' final approach to the true peak is orthogonal to the zero-phase contour. This leads to a 2-D robust projection on the zero-phase contour that results in subsample accuracy at interpolation levels well below those needed using previously proposed methods. A full description of the 2-D, phase-coupled approach is given, including two implementations based on a geometric projection and constrained optimization. In addition, a robust fast search algorithm that allows the localization of the true peak without the need for exhaustive search is given. Experimental validation on three data sets from speckle-generating phantoms undergoing uniform diagonal motion, uniform axial deformation, and nonuniform lateral flow is given. It is shown that estimated 2-D displacement fields obtained using the phase-coupled technique display a full range of values covering the dynamic range without evidence of quantization. In comparison, a previously published method using 1-D phase-projection after lateral interpolation produces severely quantized lateral displacement fields (at the same levels of interpolation as the 2-D, phase-coupled method).
机译:提出了一种新的二维(2-D)斑点跟踪方法,用于基于搜索区域中2-D复相关的幅度和相位梯度的位移估计。这种方法的新颖之处在于,它将相关峰附近的相位和幅度梯度耦合在一起,以确定其坐标在轴向和横向上均具有子采样精度。这是通过从采样(横向插值)2-D互相关网格上的幅度和相位梯度矢量之间的角度确定的最小横向插值水平实现的。该算法背后的关键结果是,幅度梯度向量对真实峰的最终逼近与零相位轮廓正交。这导致在零相位轮廓上产生2D稳健投影,从而导致插值级别的子样本精度大大低于使用先前提出的方法所需的子采样精度。给出了二维相耦合方法的完整描述,包括基于几何投影和约束优化的两种实现。另外,给出了一种鲁棒的快速搜索算法,该算法允许对真实峰进行定位,而无需进行详尽搜索。对散斑产生的幻象进行均匀对角运动,均匀轴向变形和不均匀横向流动的三个数据集进行了实验验证。结果表明,使用相位耦合技术获得的估计二维位移场显示出覆盖动态范围的所有值,而没有量化的证据。相比之下,先前发布的在横向插值后使用一维相位投影的方法会产生严重量化的横向位移场(与二维相耦合方法的插值水平相同)。

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