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.

中文翻译：

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利用散斑信息从 OCT 图像估计位移场在定量弹性成像中的应用

在本文中，我们考虑了从压缩前后的光学相干断层扫描 (OCT) 图像估计受到变形的物体的内部位移场的问题。对于内部位移场的估计，我们提出了一种新颖的算法，该算法利用特定的散斑信息来提高运动估计的质量。我们提供了基于模拟和实验数据的数值结果，以证明我们的方法的有效性，特别是当应用于定量弹性成像时，当材料参数在第二步中基于内部位移场进行估计时。