利用散斑信息从OCT图像估计位移场及其在定量弹性成像中的应用
Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography
摘要：
在本文中，我们考虑的问题估计的内部位移场的对象是受到变形，从光学相干断层扫描（OCT）图像压缩前后。对于内部位移场的估计，我们提出了一种新的算法，它利用特定的斑点信息，以提高运动估计的质量。我们提出的数值模拟和实验数据的基础上，以证明我们的方法的有用性，特别是当应用于定量弹性成像，当材料参数估计在第二步的基础上的内部位移场。
英文摘要：
In this paper, we consider the problem of estimating the internal displacement field of an object which is being subjected to a deformation, from Optical Coherence Tomography (OCT) images before and after compression. For the estimation of the internal displacement field we propose a novel algorithm, which utilizes particular speckle information to enhance the quality of the motion estimation. We present numerical results based on both simulated and experimental data in order to demonstrate the usefulness of our approach, in particular when applied for quantitative elastography, when the material parameters are estimated in a second step based on the internal displacement field.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
