Quantitative contrast-enhanced optical coherence tomography.
Quantitative contrast-enhanced optical coherence tomography.
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DOI：
10.1063/1.4939547
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发表时间：
2016-01
影响因子：
4
通讯作者：
Y. Winetraub;E. SoRelle;O. Liba;A. de la Zerda
中科院分区：
文献类型：
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作者：
Y. Winetraub;E. SoRelle;O. Liba;A. de la Zerda
我们开发了一个模型来准确量化用于对比度增强光学相干断层扫描（OCT）的外源散射剂产生的信号。该模型预测了不同的浓度相关的信号趋势，这些趋势源于OCT检测的潜在物理特性。因此，我们证明了真实散射粒子可以被描述为经过修正的散射强度和浓度的简化的理想散射体。当粒子浓度低于0.8个/成像体素时，OCT信号与粒子浓度呈近似线性关系。然而，在较高的浓度下，干扰效应导致信号增加，与一个体素内粒子数量的平方根相关。最后，高粒子浓度引起足够的光衰减，使检测到的信号饱和。通过与水中制备的金纳米棒（gnr）在浓度超过5个数量级（50 fM至5 nM）的OCT信号进行比较，预测得到了验证。此外，我们验证了我们的模型准确地预测了gnr在包括全血和活体动物在内的高度非均匀散射环境中的信号响应。通过实现粒子量化，这项工作为当前和未来的体内OCT研究提供了一个有价值的工具。更一般地说，本文描述的模型可以在依赖基于相干的检测或易受干扰效应影响的模态中告知检测信号的解释。
We have developed a model to accurately quantify the signals produced by exogenous scattering agents used for contrast-enhanced Optical Coherence Tomography (OCT). This model predicts distinct concentration-dependent signal trends that arise from the underlying physics of OCT detection. Accordingly, we show that real scattering particles can be described as simplified ideal scatterers with modified scattering intensity and concentration. The relation between OCT signal and particle concentration is approximately linear at concentrations lower than 0.8 particle per imaging voxel. However, at higher concentrations, interference effects cause signal to increase with a square root dependence on the number of particles within a voxel. Finally, high particle concentrations cause enough light attenuation to saturate the detected signal. Predictions were validated by comparison with measured OCT signals from gold nanorods (GNRs) prepared in water at concentrations ranging over five orders of magnitude (50 fM to 5 nM). In addition, we validated that our model accurately predicts the signal responses of GNRs in highly heterogeneous scattering environments including whole blood and living animals. By enabling particle quantification, this work provides a valuable tool for current and future contrast-enhanced in vivo OCT studies. More generally, the model described herein may inform the interpretation of detected signals in modalities that rely on coherence-based detection or are susceptible to interference effects.