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基于光相干层析成像数据的深度分辨衰减系数计算方法,用于改善生物结构可视化。

Depth-resolved method for attenuation coefficient calculation from optical coherence tomography data for improved biological structure visualization.

机构信息

Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia.

Privolzhsky Research Medical University, Nizhny Novgorod, Russia.

出版信息

J Biophotonics. 2023 Dec;16(12):e202100392. doi: 10.1002/jbio.202100392. Epub 2023 Sep 11.

Abstract

Optical coherence tomography (OCT) is a promising tool for intraoperative tissue morphology determination. Several studies suggest that attenuation coefficient derived from the OCT images, can differentiate between tissues of different morphology, such as normal and pathological structures of the brain, skin, and other tissues. In the present study, the depth-resolved method for attenuation coefficient calculation was adopted for the real-world situation of the depth-dependent OCT sensitivity and additive imaging noise with nonzero mean. It was shown that in the case of sharp focusing (~10 μm spot full width at half maximum [FWHM] or smaller at 1.3 μm central wavelength) only the proposed method for depth-dependent sensitivity compensation does not introduce misleading artifacts into the calculated attenuation coefficient distribution. At the same time, the scanning beam focus spot with FWHM greater than 10 μm at 1.3 μm central wavelength allows one to use multiple approaches to the attenuation coefficient calculation without introducing noticeable bias. This feature may hinder the need for robust corrections for the depth-resolved attenuation coefficient estimations from the community.

摘要

光学相干断层扫描(OCT)是一种很有前途的术中组织形态学确定工具。多项研究表明,从 OCT 图像中得出的衰减系数可以区分不同形态的组织,例如大脑、皮肤和其他组织的正常和病理结构。在本研究中,针对深度相关的 OCT 灵敏度和非零均值附加成像噪声的实际情况,采用了深度分辨法来计算衰减系数。结果表明,在聚焦良好的情况下(在 1.3μm 中心波长处约为 10μm 光斑全宽半最大值[FWHM]或更小),只有针对深度相关灵敏度补偿的建议方法不会给计算得到的衰减系数分布引入误导性伪影。同时,在 1.3μm 中心波长处 FWHM 大于 10μm 的扫描光束聚焦光斑使得可以使用多种方法进行衰减系数计算,而不会引入明显的偏差。这一特性可能会阻碍社区对深度分辨衰减系数估计进行稳健校正的需求。

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