Determination of optimal source-detector separation in measuring chromophores in layered tissue with diffuse reflectance  被引量:3

Determination of optimal source-detector separation in measuring chromophores in layered tissue with diffuse reflectance

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作  者:罗云瀚 崔厚欣 谷筱玉 刘蓉 徐可欣 

机构地区:[1]State Key Laboratory of Precision Measuring Technology and Instruments College of Precision Instrument and Opto-Electronics Engineering, Tianjin University Tianjin 300072

出  处:《Chinese Optics Letters》2005年第11期659-661,共3页中国光学快报(英文版)

基  金:This work was supported by the Tenth Five Years Plan of China (No. 2004BA706B12) ; the Natural Science Key Foundation of Tianjin (No. 023800411).

摘  要:Based on analysis of the relation between mean penetration depth and source-detector separation in a threelayer model with the method of Monte-Carlo simulation, an optimal source-detector separation is derived from the mean penetration depth referring to monitoring the change of chromophores concentration of the sandwiched layer. In order to verify the separation, we perform Monte-Carlo simulations with varied absorption coefficient of the sandwiched layer. All these diffuse reflectances are used to construct a calibration model with the method of partial least square (PLS). High correlation coefficients and low root mean square error of prediction (RMSEP) at the optimal separation have confirmed correctness of the selection. This technique is expected to show light on noninvasive diagnosis of near-infrared spectroscopy.Based on analysis of the relation between mean penetration depth and source-detector separation in a threelayer model with the method of Monte-Carlo simulation, an optimal source-detector separation is derived from the mean penetration depth referring to monitoring the change of chromophores concentration of the sandwiched layer. In order to verify the separation, we perform Monte-Carlo simulations with varied absorption coefficient of the sandwiched layer. All these diffuse reflectances are used to construct a calibration model with the method of partial least square (PLS). High correlation coefficients and low root mean square error of prediction (RMSEP) at the optimal separation have confirmed correctness of the selection. This technique is expected to show light on noninvasive diagnosis of near-infrared spectroscopy.

关 键 词:Calibration Detectors Diagnosis Diffusers (optical) Infrared spectroscopy Monte Carlo methods REFLECTION Sandwich structures SEPARATION 

分 类 号:O435[机械工程—光学工程]

 

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