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Accuracy of vessel diameter estimated from a vessel packaging compensation in diffuse reflectance spectroscopy

机译:由漫反射光谱法中的容器包装补偿估算的容器直径精度

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Light absorption in tissue is generally decreased when chromophores are spatially concentrated rather than being homogeneously distributed. In tissue, this applies to hemoglobin located in blood vessels (vessel packaging). In this paper, the diffusely reflected light from 41 tissue models with discrete blood vessels with diameters ranging from 6.25 to 100 μm were simulated using the Monte Carlo technique. A reverse engineering approach was then utilized to find the model that had an optimal spectral fit to each of the simulated models. The average vessel diameter was one fitting parameter in the adaptive model. The estimated vessel diameter from the optimal fit model was compared to the known diameter from the simulated models. Two different methods to calculate the vessel packaging effect were used, one existing based on a simple analytic expression and a new method based on path length distributions. Both methods had similar performance. For the new method, the absolute RMS deviation of the estimated vessel diameter was 5.5 μm for vessel diameters ≤ 25 μm, and the relative RMS deviation was 21 % for vessel diameters > 25 μm.
机译:当生色团在空间上集中而不是均匀分布时,组织中的光吸收通常会降低。在组织中,这适用于位于血管(血管包装)中的血红蛋白。在本文中,使用蒙特卡罗技术模拟了直径为6.25至100μm的41个离散血管模型组织的漫反射光。然后,采用逆向工程方法来找到对每个模拟模型都有最佳光谱拟合的模型。平均血管直径是自适应模型中的一个拟合参数。将最佳拟合模型的估计血管直径与模拟模型的已知直径进行比较。使用了两种不同的方法来计算容器包装效果,一种基于简单的解析表达式而存在,另一种基于路径长度分布的新方法。两种方法的性能相似。对于新方法,对于直径≤25μm的血管,估计血管直径的绝对RMS偏差为5.5μm,对于直径> 25μm的血管,相对RMS偏差为21%。

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