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Phase-coupled two-dimensional speckle tracking method

机译:相位耦合的二维斑点跟踪方法

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We present a 2D speckle tracking method for displacement estimation based on the gradients of the magnitude and phase of 2D complex correlation in a search region in two consecutive frames. The novelty of this approach is that it couples the phase and magnitude gradients near the correlation peak to determine the true maximum with subsample accuracy in both axial and lateral directions. It is shown that, for wide range of speckle SNR values, both magnitude and phase gradients of the 2D cross correlation near the true correlation peak are well behaved. Furthermore, the magnitude gradient vectors final approach to the true peak is either tangential or orthogonal to the zero-phase contour. This leads to an efficient and robust, directed gradient search algorithm for determination of the true peak resulting in a very accurate estimate of the 2D displacement vector. This algorithm was tested using computer simulations (Field II) as well as tissue mimicking phantoms undergoing deformation and in vivo images of human liver under a variety of breathing conditions. Comparisons with standard interpolation based approach and 2D cross spectrum based method in Sumi (1999) were made for accuracy, speed, and robustness. Compared to standard interpolation, the phase-coupled approach produces superior results using much smaller interpolation factors. Compared to the 2D cross spectrum method, it is more robust, more computationally efficient, and produces finer lateral displacement estimation with lower variance.
机译:我们介绍了基于在两个连续帧中的搜索区域中的搜索区域中的2D复杂相关的幅度和相位的梯度和相位梯度的2D散斑估计。这种方法的新颖性是它耦合在相关峰附近的相位和幅度梯度耦合,以确定具有轴向和横向的子样本精度的真实最大值。结果表明,对于宽范围的散斑SNR值,在真正相关峰值附近的2D交叉相关的幅度和相位梯度都表现良好。此外,真正峰值的最终梯度向量的最终方法是与零相位轮廓的切向或正交。这导致了用于确定真正峰值的高效且稳健的梯度搜索算法,从而导致2D位移向量的非常准确的估计。使用计算机模拟(田间II)测试该算法以及在各种呼吸条件下模拟杂于幻像和人类肝脏的体内图像。基于标准插值的方法和基于2D的基于2D频谱的方法进行了比较,用于Sumi(1999),用于精度,速度和鲁棒性。与标准插值相比,相位耦合的方法使用更小的内插因子产生优异的结果。与2D交叉频谱法相比,它更加坚固,更加计算高效,并产生具有较低方差的较好的横向位移估计。

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