基于光学相干断层扫描（OCT）衰减补偿的深度分辨背向散射信号重建
Depth-resolved backscattering signal reconstruction based OCT attenuation compensation.
作者信息
Wang Yaning, Wei Shuwen, Kang Jin U
机构信息
Electrical and Computer Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, Maryland 21218, USA.
出版信息
Proc SPIE Int Soc Opt Eng. 2022 Jan-Feb;11953. doi: 10.1117/12.2609114. Epub 2022 Mar 2.
Abstract
Optical coherence tomography (OCT) with a robust depth-resolved attenuation compensation method for a wide range of imaging applications is proposed and demonstrated. We derive a model for deducing the attenuation coefficients and the signal compensation value using the depth-dependent backscattering profiles, to mitigate under and over-estimation in tissue imaging. We validated the method using numerical simulation and phantoms, where we achieved stable and robust compensation results over the entire depth of samples. The comparison between other attenuation characterization models and our proposed model is also performed.
摘要
提出并展示了一种具有强大深度分辨衰减补偿方法的光学相干断层扫描（OCT），适用于广泛的成像应用。我们推导了一个模型，用于利用与深度相关的后向散射剖面来推导衰减系数和信号补偿值，以减轻组织成像中的低估和高估问题。我们使用数值模拟和体模验证了该方法，在样本的整个深度范围内获得了稳定且可靠的补偿结果。还对其他衰减表征模型与我们提出的模型进行了比较。
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