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A 2D phase zero algorithm for estimation of displacement in ultrasound elastography based on the optimization of initial value for iteration

机译:基于初始值优化迭代的超声弹性术中位移估计的2D相零算法

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Ultrasound elastography (UE) is an imaging technique based on tissues’ elasticity. UE based on gradient typically assumes that movement only occurs along the propagation direction of an ultrasound beam. However, when the target tissue is compressed by a transducer, lateral displacement of the scattering body occurs due to uniform hardness within the tissue. Before and after compression, the signal cross-correlations within a specific window along the scan lines may be very low. This is highly likely to result in large errors or even failed calculation of cross-correlated phase angles within this window. We proposed a modified 2D phase zero algorithm for the estimation of displacement. In this method, the initial value with threshold for iteration was optimized in order to decrease the errors result from lateral motion. Then, to verify the effectiveness of this algorithm, a contrast experiment on this new and conventional method was designed. The experiment indicated that this algorithm could effectively prevent failed calculation of elasticity due to lateral displacement of the scattering body. It could stably and efficiently reduce the errors in displacement estimation and enable a more accurate imaging of the target hard mass, like signal to noise of elastography ( S N R e ) and contrast to noise of elastography ( C N R e ).
机译:超声弹性造影(UE)是一种基于组织弹性的成像技术。基于梯度的UE通常假设仅沿超声波光束的传播方向发生移动。然而,当通过换能器压缩目标组织时,由于组织内的均匀硬度均匀,散射体的横向位移发生。在压缩之前和之后,沿扫描线的特定窗口内的信号互相关可以非常低。这很可能导致该窗口内的横相关相角的大错误甚至失败。我们提出了一种修改的2D相零算法,用于估计位移。在该方法中,优化了迭代阈值的初始值,以减小横向运动的误差。然后,为了验证该算法的有效性,设计了对这种新的和传统方法的对比试验。实验表明,由于散射体的横向位移,该算法可以有效地防止弹性的失效计算。它可以稳定和有效地降低位移估计中的误差,并使目标硬质量的更准确的成像,如弹性摄影(S N R E)的噪声和与弹性显影的噪声形成对比(C N R E)。

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