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Estimation of Biomedical Optical Properties by Simultaneous use of Diffuse Reflectometry and Photothermal Radiometry: Investigation of light propagation models

机译:同时使用扩散反射法和光热辐射法估算生物医学光学性质:光传播模型的研究

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The estimation of optical properties of highly turbid and opaque biological tissue is a difficult task since conventional purely optical methods rapidly loose sensitivity as the mean photon path length decreases. Photothermal methods, such as pulsed or frequency domain photothermal radiometry (FD-PTR), on the other hand, show remarkable sensitivity in experimental conditions that produce very feeble optical signals. Photothermal Radiometry is primarily sensitive to absorption coefficient yielding considerably higher estimation errors on scattering coefficients. Conversely, purely optical methods such as Local Diffuse Reflectance (LDR) depend mainly on the scattering coefficient and yield much better estimates of this parameter. Therefore, at moderate transport albedos, the combination of photothermal and reflectance methods can improve considerably the sensitivity of detection of tissue optical properties. The authors have recently proposed a novel method that combines FD-PTR with LDR, aimed at improving sensitivity on the determination of both optical properties. Signal analysis was performed by global fitting the experimental data to forward models based on Monte-Carlo simulations. Although this approach is accurate, the associated computational burden often limits its use as a forward model. Therefore, the application of analytical models based on the diffusion approximation offers a faster alternative. In this work, we propose the calculation of the diffuse reflectance and the fluence rate profiles under the δ-P_1 approximation. This approach is known to approximate fluence rate expressions better close to collimated sources and boundaries than the standard diffusion approximation (SDA). We extend this study to the calculation of the diffuse reflectance profiles. The ability of the δ-P_1 based model to provide good estimates of the absorption, scattering and anisotropy coefficients is tested against Monte-Carlo simulations over a wide range of scattering to absorption ratios. Experimental validation of the proposed method is accomplished by a set of measurements on solid absorbing and scattering phantoms.
机译:估计高度混浊和不透明的生物组织的光学特性是一项艰巨的任务,因为常规的纯光学方法会随着平均光子路径长度的减小而迅速降低灵敏度。另一方面,诸如脉冲或频域光热辐射法(FD-PTR)之类的光热方法在产生非常微弱的光信号的实验条件下显示出显着的灵敏度。光热辐射测定法主要对吸收系数敏感,从而在散射系数上产生相当高的估计误差。相反,诸如局部漫反射率(LDR)之类的纯光学方法主要取决于散射系数,并且可以对该参数进行更好的估计。因此,在中等反射率的反照率下,光热法和反射法的结合可以显着提高组织光学特性检测的灵敏度。作者最近提出了一种将FD-PTR与LDR相结合的新颖方法,旨在提高确定两种光学性质的灵敏度。通过将实验数据全局拟合到基于蒙特卡洛模拟的正向模型来执行信号分析。尽管此方法是准确的,但相关的计算负担通常会限制其作为正向模型的使用。因此,基于扩散近似的分析模型的应用提供了更快的选择。在这项工作中,我们建议在δ-P_1近似下计算漫反射率和注量率分布。众所周知,与标准扩散近似(SDA)相比,该方法可以更接近准直的源和边界来计算通量率表达式。我们将这项研究扩展到漫反射率分布图的计算。在较宽的散射吸收比范围内,针对蒙特卡洛模拟测试了基于δ-P_1的模型提供良好的吸收,散射和各向异性系数估计值的能力。通过对固体吸收和散射体模进行一组测量来完成对所提出方法的实验验证。

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