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Optical Coherence Tomography of semitransparent media: Analysis of the method

机译:半透明介质的光学相干层析成像:方法分析

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Optical Coherence Tomography (OCT) is a modern technique suited for high-resolution, real-time, in-vivo and in-situ imaging of biological tissue. OCT can provide images with a micron-level resolution, higher than in other known medical imaging methods, such as ultrasound, magnetic resonance imaging and computed tomography. Since the early 1990s, OCT has been widely used in medical applications as a non-invasive, safe and inexpensive imaging technique. Over time, basic principles of OCT, various approaches, measurement setups and devices have been described in many publications and reports. However, some theoretical aspects of OCT are not yet covered in-depth, in particular, the questions related to statistical analysis and statistical modelling of this imaging technique. This paper revisits the problem of spectral domain OCT using a mathematical approach stemming from radar signal processing, which combines Fourier-based analysis and statistical (correlation) analysis. In this context, the broadband signal from the low-coherence light source is represented in the time and spectral domains, and the object signal is modeled as the complex scattering coefficient of the test semitransparent media. We showed how the proposed approach can be used for statistical simulation of OCT imaging. The results presented in this work are achieved for the first time.
机译:光学相干断层扫描(OCT)是一种现代技术,适用于生物组织的高分辨率,实时,体内和原位成像。与其他已知的医学成像方法(例如超声,磁共振成像和计算机断层扫描)相比,OCT可以提供具有微米级分辨率的图像。自1990年代初以来,OCT作为一种非侵入性,安全且廉价的成像技术已广泛用于医疗应用。随着时间的流逝,OCT的基本原理,各种方法,测量设置和设备已在许多出版物和报告中进行了描述。但是,OCT的某些理论方面尚未深入介绍,尤其是与该成像技术的统计分析和统计建模有关的问题。本文使用源自雷达信号处理的数学方法(结合了基于傅立叶的分析和统计(相关)分析)来回顾光谱域OCT问题。在这种情况下,来自低相干光源的宽带信号在时域和光谱域中表示,目标信号被建模为测试半透明介质的复数散射系数。我们展示了所提出的方法如何可用于OCT成像的统计模拟。这项工作中提出的结果是第一次实现。

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