Robust spectral-domain optical coherence tomography speckle model and its cross-correlation coefficient analysis.
Robust spectral-domain optical coherence tomography speckle model and its cross-correlation coefficient analysis.
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DOI：
10.1364/josaa.30.000051
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发表时间：
2013-01-01
期刊：
影响因子：
--
通讯作者：
Kang JU
中科院分区：
文献类型：
--
作者：
Liu X;Ramella-Roman JC;Huang Y;Guo Y;Kang JU
在这项研究中，我们提出了一个光学相干层析成像（OCT）信号的通用散斑模拟，通过卷积OCT系统的点扩展函数（PSF）与数值合成的随机样本场。我们验证了我们的模型，并使用仿真方法研究了ascan之间的互相关系数（XCC）的统计特性，该互相关系数（XCC）最近被我们的团队应用于横向运动分析。仿真结果表明，过度采样是实现精确运动跟踪的必要条件；OCT信号的指数衰减导致运动估计过低，这是可以修正的；样品的横向非均匀性导致对结构边界对应的几个像素的运动估计过高。
In this study, we proposed a generic speckle simulation for optical coherence tomography (OCT) signal, by convolving the point spread function (PSF) of the OCT system with the numerically synthesized random sample field. We validated our model and used the simulation method to study the statistical properties of cross-correlation coefficients (XCC) between Ascans which have been recently applied in transverse motion analysis by our group. The results of simulation show that over sampling is essential for accurate motion tracking; exponential decay of OCT signal leads to an under estimate of motion which can be corrected; lateral heterogeneity of sample leads to an over estimate of motion for a few pixels corresponding to the structural boundary.