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Autofocus algorithm for dispersion correction in optical coherence tomography

机译:光学相干层析成像中用于色散校正的自动聚焦算法

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摘要

Practical clinical optical coherence tomography (OCT) systems require automatic tools for identifying and correcting flaws in OCT images. One type of flaw is the loss of image detail owing to the dispersion of the medium, which in most cases is unknown. We present an autofocus algorithm for estimating the delay line and material dispersion from OCT reflectance data, integrating a previously presented dispersion compensation algorithm to correct the data. The algorithm is based on minimizing the Renyi entropy of the corrected axial-scan image, which is a contrast-enhancement criterion. This autofocus algorithm can be used in conjunction with a high-speed, digital-signal-processor-based OCT acquisition system for rapid image correction. (C) 2003 Optical Society of America. [References: 12]
机译:实用的临床光学相干断层扫描(OCT)系统需要自动工具来识别和纠正OCT图像中的缺陷。一种缺陷是由于介质的分散而导致的图像细节损失,这种情况在大多数情况下是未知的。我们提出了一种自动聚焦算法,用于从OCT反射率数据估计延迟线和材料色散,并集成了先前提出的色散补偿算法来校正数据。该算法基于最小化校正后的轴向扫描图像的Renyi熵(这是增强对比度的标准)。此自动聚焦算法可以与基于数字信号处理器的高速OCT采集系统结合使用,以进行快速图像校正。 (C)2003年美国眼镜学会。 [参考:12]

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