基于侧向引导的2D加权相位分离位移估计

2D Weighted Phase Separation Displacement Estimation Based on Lateral Guidance

  • 摘要: 在可并行的实时运动追踪算法的基础上提出基于侧向引导和二维信号窗的加权相位分离位移估计改进算法,并通过仿真和体模实验证实该算法提高弹性成像性能的可行性.先估计出中间一列(A-line)位移作为种子位移;然后从中间向两侧估计,估计时用侧向相邻已估计位移作为当前点的初始位移,最后通过二维窗的加权相位分离算法迭代产生最终位移.在仿真的不同应变或使用不同窗长情况下,改进算法所产生弹性图像的信噪比均高于原始算法,体模实验也产生了更高性能的图像.该算法能提高弹性成像的性能.

     

    Abstract: On the basis of parallelizable real-time motion tracking algorithm, we propose the modified weighted phase separation (WPS) displacement estimation algorithm based on lateral guidance and 2D estimation window, and validate whether this algorithm can improve elastography performance. The displacement of the middle A-lines is estimated as the seed displacement, the other displacements are estimated from the middle to two sides, their initial displacements are selected from the lateral adjacent displacement estimate, and the final displacements are generated by using 2D weighted phase separation algorithm. The simulation shows that the modified WPS algorithm can achieve elastogram with higher SNRe than the original WPS at various strains or window-lengths. And the phantom experiment also shows that the modified WPS algorithm can generate the higher performance elastogram.

     

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