| 研究生: |
吳慶能 Wu, Ching-Neng |
|---|---|
| 論文名稱: |
探討漫反射光譜量測系統之系統響應對於混濁介質光學係數計算誤差的影響 Investigation of the influence of instrument response of diffuse reflectance spectroscopy system on the recovery errors of turbid medium optical properties |
| 指導教授: |
曾盛豪
Tseng, Sheng-Hao |
| 學位類別: |
碩士 Master |
| 系所名稱: |
理學院 - 光電科學與工程學系 Department of Photonics |
| 論文出版年: | 2019 |
| 畢業學年度: | 107 |
| 語文別: | 中文 |
| 論文頁數: | 48 |
| 中文關鍵詞: | 漫反射光譜系統 、逆疊加運算系統 、光學係數 、系統響應 、蒙地卡羅法 、人工類神經網路 |
| 外文關鍵詞: | Diffuse reflectance spectroscopy, Inverse adding doubling, optical properties, System response |
| 相關次數: | 點閱:124 下載:5 |
| 分享至: |
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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。
本團隊以漫反射光譜法中的穩態光系統為主,其架構以穩定光源配合複數組SDs距離的光訊號即可計算光學係數,為了獲取待測物的光譜資訊,必須利用校正演算法扣除系統響應,將儀器對光訊號所造成影響去除,才可獲得準確的光學係數,用以分析出正確的皮膚色團濃度,因此扣除系統響應這個環節至關重要,然而,目前的校正演算法在假體驗證上存有缺陷,在不同光學參數組合下的假體校正,其計算的準確定性仍有疑慮,在人體量測甚至計算到吸收負值的現象,因此,檢視系統硬體端與軟體端,歸類出三個變因,針對此三個變因以系統響應比值的觀點分析,進而發現探頭、模型以及假體的光學參數是影響系統響應的主因,為求改善目前計算光學係數的不準確性,從發現的變因當中,以蒙地卡羅模擬搭配類神經網路建構模型的方式,嘗試解決現有的模型問題,透過蒙地卡羅模擬建構兩個不同的模型,量測假體與人體,計算光學係數討論其差異與合理性。
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.
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