首页> 外文期刊>Journal of biomedical optics >Photon-cell interactive Monte Carlo model based on the geometric optics theory for photon migration in blood by incorporating both extra- and intracellular pathways
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Photon-cell interactive Monte Carlo model based on the geometric optics theory for photon migration in blood by incorporating both extra- and intracellular pathways

机译:基于几何光学理论的光子-细胞相互作用蒙特卡洛模型,通过结合细胞外和细胞内途径,实现血液中光子迁移

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摘要

A photon-cell interactive Monte Carlo (pciMC) that tracks photon migration in both the extra- and intracellular spaces is developed without using macroscopic scattering phase functions and anisotropy factors, as required for the conventional Monte Carlos (MCs). The interaction of photons at the plasma-cell boundary of randomly oriented 3-D biconcave red blood cells (RBCs) is modeled using the geometric optics. The pciMC incorporates different photon velocities from the extra- to intracellular space, whereas the conventional MC treats RBCs as points in the space with a constant velocity. In comparison to the experiments, the pciMC yielded the mean errors in photon migration time of 9.8±6.8 and 11.2 ±8.5% for suspensions of small and large RBCs (RBC_(small), RBC_(large)) averaged over the optically diffusing region from 2000 to 4000 μm, while the conventional random walk Monte Carlo simulation gave statistically higher mean errors of 19.0±5.8 (p< 0.047) and 21.7 ± 19.1% (p< 0.055), respectively. The gradients of optical density in the diffusing region yielded statistically insignificant differences between the pciMC and experiments with the mean errors between them being 1.4 and 0.9% in RBC_(small) and RBC_(larger), respectively. The pciMC based on the geometric optics can be used to accurately predict photon migration in the optically diffusing, turbid medium.
机译:像传统的蒙特卡洛斯(MC)一样,无需使用宏观散射相函数和各向异性因子,就可以开发出跟踪细胞外和细胞内空间中光子迁移的光子-细胞交互式蒙特卡洛(pciMC)。使用几何光学模型对随机定向的3-D双凹红细胞(RBC)的浆细胞边界处的光子相互作用进行建模。 pciMC包含了从细胞外到细胞内空间的不同光子速度,而传统的MC将RBC视作恒定速度的空间点。与实验相比,pciMC产生的小和大RBC悬浮液(RBC_(小),RBC_(大))的光扩散时间平均误差为9.8±6.8和11.2±8.5%, 2000至4000μm,而传统的随机游动蒙特卡洛模拟分别在统计上给出了较高的平均误差,分别为19.0±5.8(p <0.047)和21.7±19.1%(p <0.055)。扩散区域中的光密度梯度在pciMC和实验之间产生的统计差异不明显,在RBC_(小)和RBC_(大)中,它们之间的平均误差分别为1.4%和0.9%。基于几何光学的pciMC可用于准确预测光扩散混浊介质中的光子迁移。

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