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首页> 外文会议>Conference on Resign and Quality for Biomedical Technologies; 20080121; San Jose,CA(US) >Validation of a fiberoptic-based UVA-VTS optical property measurement system
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Validation of a fiberoptic-based UVA-VTS optical property measurement system

机译：验证基于光纤的UVA-VTS光学性能测量系统

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摘要

Tissue optical properties at ultraviolet A (UVA) and visible (VIS) wavelengths are needed to elucidate light-tissue interaction effects and optimize design parameters for spectroscopy-based neoplasia detection devices. Toward the goal of accurate and useful in vivo measurements, we have constructed and evaluated a system for optical property measurement at UVA-VIS wavelengths. Our approach involves a neural network-based inverse model calibrated with reflectance datasets simulated using a condensed Monte Carlo approach with absorption coefficients as high as 80 cm~(-1) and reduced scattering coefficients as high as 70 cm~(-1). Optical properties can be predicted with the inverse model based on spatially-resolved reflectance measured with a fiberoptic probe. Theoretical evaluation of the inverse model was performed using simulated reflectance distributions at random optical properties. Experimental evaluation involved the use of tissue phantoms constructed from bovine hemoglobin and polystyrene microspheres. An average accuracy of ±1.0 cm~(-1) for absorption coefficients and ±2.7 cm~(-1) for reduced scattering coefficients was found from realistic phantoms at five UVA-VIS wavelengths. While accounting for the very high attenuation levels near the 415 nm Soret absorption band required some modifications, our findings provide evidence that the current approach produces useful data over a wide range of optical properties, and should be particularly useful for in vivo characterization of highly attenuating biological tissues.
机译：需要阐明紫外线A（UVA）和可见（VIS）波长下的组织光学特性，以阐明光与组织之间的相互作用，并优化基于光谱的瘤形成检测设备的设计参数。为了实现准确和有用的体内测量的目标，我们构建并评估了在UVA-VIS波长下进行光学性质测量的系统。我们的方法涉及一个基于神经网络的逆模型，该模型使用反射系数数据集进行校准，该反射数据集使用浓缩蒙特卡罗方法进行模拟，吸收系数高达80 cm〜（-1），降低的散射系数高达70 cm〜（-1）。可以使用逆模型基于光纤探头测得的空间分辨反射率来预测光学性能。使用随机光学特性下的模拟反射率分布对逆模型进行了理论评估。实验评估涉及使用由牛血红蛋白和聚苯乙烯微球构成的组织体模。在5个UVA-VIS波长处，从真实的体模中发现吸收系数的平均精度为±1.0 cm〜（-1），降低的散射系数的精度为±2.7 cm〜（-1）。尽管考虑到在415 nm Soret吸收带附近有很高的衰减水平需要进行一些修改，但我们的发现提供了证据，表明当前的方法可以在广泛的光学性质上产生有用的数据，并且对于体内高衰减的表征特别有用。生物组织。

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