一种基于自相关的方法，用于改进超声应变成像中的亚像素位移估计。
An autocorrelation-based method for improvement of sub-pixel displacement estimation in ultrasound strain imaging.
出版信息
IEEE Trans Ultrason Ferroelectr Freq Control. 2011 Apr;58(4):838-43. doi: 10.1109/TUFFC.2011.1876.
Abstract
In ultrasound strain and elasticity imaging, an accurate and cost-effective sub-pixel displacement estimator is required because strain/elasticity imaging quality relies on the displacement SNR, which can often be higher if more computational resources are provided. In this paper, we introduce an autocorrelation-based method to cost-effectively improve subpixel displacement estimation quality. To quantitatively evaluate the performance of the autocorrelation method, simulated and tissue-mimicking phantom experiments were performed. The computational cost of the autocorrelation method is also discussed. The results of our study suggest the autocorrelation method can be used for a real-time elasticity imaging system.
摘要
在超声应变成像和弹性成像中，需要一个准确且具有成本效益的亚像素位移估计器，因为应变成像/弹性成像质量依赖于位移 SNR，如果提供更多的计算资源，通常可以提高位移 SNR。在本文中，我们介绍了一种基于自相关的方法，以经济有效地提高亚像素位移估计的质量。为了定量评估自相关方法的性能，进行了模拟和组织模拟体模实验。还讨论了自相关方法的计算成本。我们的研究结果表明，自相关方法可用于实时弹性成像系统。
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