||Investigation of the influence of instrument response of diffuse reflectance spectroscopy system on the recovery errors of turbid medium optical properties
||Department of Photonics
Diffuse reflectance spectroscopy
Inverse adding doubling
漫反射光譜法(Diffuse Reflectance Spectroscopy,DRS)搭配光子傳播模型計算混濁介質的光學係數，廣泛地應用於器官癌病變的篩檢、膚質的檢測、以及量測各種生理參數資訊，提供臨床上的病理特徵判定，此方法具備非侵入式、方便攜帶、設備簡單可微型化等優勢，甚至已開發為市售產品，例如: 飛利浦公司的Bilichek膽紅素檢測儀、Masimo公司的血氧機。
In this study, the steady-state optical system in diffuse reflectance spectroscopy is used. The optical coefficient can be calculated by stabilizing the light source with the multiple SDS distance. In order to obtain the spectral information of the object to be tested, it must be deducted by the calibration algorithm. The system response by removing the influence of the instrument on the optical signal to obtain an accurate optical coefficient to analyze the correct skin chromophore concentration. Therefore, it is important to deduct the system response. However, the current calibration algorithm There are still defects in the phantom verification. The phantom verification under the combination of different optical parameters still has doubts about the uncertainity of the calculation. In the human subject experiment, even the phenomenon of negative absorption is calculated, and the influence is classified after the inspection system. The three factors of system response are analyzed based on the viewpoint of system response ratio for these three variables, and then the optical parameters of the probe, model and phantom are the reasons that affect the system response, in order to improve the inaccuracy of the current calculated optical coefficient. From the founding causes, try to solve the existing model problems and construct two different models through Monte Carlo simulation. Measurement phantom and human, discuss optical coefficient calculated differences and reasonable.
2.1漫反射光譜學(Diffuse Reflectance Spectroscopy)4
2.2蒙地卡羅法(Monte Carlo Method)5
2.3人工類神經網路(Artificial Neural Network)9
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