Speckle tracking methods for ultrasonic elasticity imaging using short-time correlation
Speckle tracking methods for ultrasonic elasticity imaging using short-time correlation
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DOI：
10.1109/58.741427
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发表时间：
1999-01-01
影响因子：
3.6
通讯作者：
O'Donnell, M
中科院分区：
文献类型：
--
作者：
Lubinski, MA;Emelianov, SY;O'Donnell, M
在超声弹性成像中，应变去相关是使用相关技术估计位移的主要误差来源。这种误差可以通过减小相关核来显著减小。通过在位移估计之前对相关函数进行滤波，可以获得信噪比（SNR）的额外增益。讨论了空间分辨率和估计方差之间的权衡，并将弹性成像中的估计与传统的时延估计进行了比较。对凝胶体模进行了模拟和实验研究。结果表明，高分辨率，高SNR应变估计可以使用小的相关内核（在超声信号的自相关宽度的顺序）和相关滤波计算。
In ultrasound elasticity imaging, strain decorrelation is a major source of error in displacements estimated using correlation techniques. This error can be significantly decreased by reducing the correlation kernel. Additional gains in signal-to-noise ratio (SNR) are possible by filtering the correlation functions prior to displacement estimation. Tradeoffs between spatial resolution and estimate variance are discussed, and estimation in elasticity imaging is compared to traditional time-delay estimation. Simulations and experiments on gel-based phantoms are presented. The results demonstrate that high resolution, high SNR strain estimates can be computed using small correlation kernels (on the order of the autocorrelation width of the ultrasound signal) and correlation filtering.