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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 生醫電子與資訊學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63591
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor宋孔彬(Kung-Bin Sung)
dc.contributor.authorHsiang-Chen Pien
dc.contributor.author畢襄辰zh_TW
dc.date.accessioned2021-06-16T17:14:28Z-
dc.date.available2017-08-22
dc.date.copyright2012-08-22
dc.date.issued2012
dc.date.submitted2012-08-20
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9. Schwarz, R.A., et al., Noninvasive evaluation of oral lesions using depth-sensitive optical spectroscopy. Cancer, 2009. 115(8): p. 1669-1679.
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12. Mallia, R., et al., Oxygenated hemoglobin diffuse reflectance ratio for in vivo detection of oral pre-cancer. Journal of Biomedical Optics, 2008. 13(4): p. 041306-10.
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15. Reif, R., O. A'Amar, and I.J. Bigio, Analytical model of light reflectance for extraction of the optical properties in small volumes of turbid media. Appl. Opt., 2007. 46(29): p. 7317-7328.
16. Kim, A., et al., A fiberoptic reflectance probe with multiple source-collector separations to increase the dynamic range of derived tissue optical absorption and scattering coefficients. Opt. Express, 2010. 18(6): p. 5580-5594.
17. Utzinger, U. and R.R. Richards-Kortum, Fiber optic probes for biomedical optical spectroscopy. Journal of Biomedical Optics, 2003. 8(1): p. 121-147.
18. Backman, V., et al., Detection of preinvasive cancer cells. Nature, 2000. 406(6791): p. 35-36.
19. Arifler, D., et al., Spatially resolved reflectance spectroscopy for diagnosis of cervical precancer: Monte Carlo modeling and comparison to clinical measurements. Journal of Biomedical Optics, 2006. 11(6): p. 064027-16.
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21. Garcia-Uribe, A., et al., Skin Cancer Detection by Spectroscopic Oblique-Incidence Reflectometry: Classification and Physiological Origins. Appl. Opt., 2004. 43(13): p. 2643-2650.
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29. Welch, A. and M. van Gemert, Optical-Thermal Response of Laser-Irradiated Tissue, ed. A. Welch and M. van Gemert2011: Springer Science+Business Media B.V. 971.
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35. Karlsson, H., et al., Inverse Monte Carlo for estimation of scattering and absorption in liquid optical phantoms. Opt. Express, 2012. 20(11): p. 12233-12246.
36. Martin, M., et al., Development of an Advanced Hyperspectral Imaging (HSI) System with Applications for Cancer Detection. Annals of Biomedical Engineering, 2006. 34(6): p. 1061-1068.
37. Nieman, L., et al., Optical Sectioning Using a Fiber Probe with an Angled Illumination-Collection Geometry: Evaluation in Engineered Tissue Phantoms. Appl. Opt., 2004. 43(6): p. 1308-1319.
38. 朱淑君, 成功大學 幾何光學講義, 2009.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63591-
dc.description.abstract本研究主旨為建構一移動式高光譜顯微影像系統,並結合影像光纖束所提供的空間分布訊號以進行不同距離下之漫反射光譜以及螢光光譜資訊,再透過漫反射光譜擬合工具進行組織光學參數之萃取,以期可應用於臨床研究之量測系統。
本研究使用兩種不同形式之影像光纖束,分別為斜角及平口光纖束,可應用於淺層及較深層組織之訊號量測;本系統利用自製設計之鉻材質衰減片以消除光源光纖對於漫反射及螢光訊號量測的影響,並結合電動遮光器以切換選擇不同之入射光源,以進行漫反射和螢光訊號量測模式的切換;在不同距離下的漫反射訊號分析則採用兩種分析模式,一為沿影像光纖束中心軸由光源光纖向外圈選圓形區域(Region of interest, ROI)之分析模式,另一則為由光源光纖為中心,向外圈選同心圓環進行漫反射訊號分析。
本系統以驗證後之縮放式蒙地卡羅順向模擬光譜進行組織漫反射光譜校正,目前採用由光源光纖向外圈選同心圓環之SDS分析模式,並以兩種不同尺寸之單層擬組織散射源(polystyrene)進行量測校正比對,目前於SDS = 400、600、800 μm 之偵測光纖束下其校正之絕對誤差率平均值已可達到6%以內的水準,由此可知本系統之漫反射光譜量測已達到相當程度的準確率,目前亦已針對正常人體口腔黏膜組織進行量測並使用反向模型擬合工具萃取出組織光學參數。預計本系統未來可直接應用於雙層仿體、活體組織的實際量測,期能以反向擬合工具進行準確之光學參數萃取及光學參數資料庫比對、血氧濃度和血紅素濃度之資訊定量。
在螢光量測的部分,未來將會針對合適之激發-放出對(Excitation-emission matrix, EEM)的資訊,以選取應用的激發光源以及螢光濾片。本系統最終目標為成為一穩定的移動式臨床量測系統,並能提供癌前病變診斷的資訊。
zh_TW
dc.description.abstractThe gist of this research is to construct a portable hyper-spectral imaging (HSI) system. This system utilizes imaging fiber bundle as a detection probe to gathering spatially-resolved diffuse reflectance (DRS) and fluorescence signals. And we use DRS fitting tools to extract tissue optical parameters: scattering/absorption coefficients, hemoglobin concentration, and tissue thickness.
The system has two types of fiber probe: oblique and perpendicular probes. These probes can be applied to obtain optical signals from superficial and deeper tissue layers. The system integrates motorized electronic shutters and broadband/UV light sources to switch DRS and fluorescence measurements. And the system uses self-made chromium (Cr) attenuation filter to eliminate the specular reflection from the surface of imaging fiber bundles. In the signal analysis, we designed two analysis modes: 1.choosing circular region of interests (ROI) from source fiber to outside detection fibers along the center of imaging fiber bundles; 2.selecting concentric ROI from source fiber to outside.
We used verified scaling Monte Carlo (MC) forward simulation spectrum to calibrate practical DRS spectrum data. At this study, we measured and compared two different sizes of scattering phantoms (polystyrene). The averages of calibration error achieved to 6.02% or below at SDS = 400、600、800 μ'm' . It shows that the portable system possesses proper performance in DRS measurements. And this study shows the DRS results of normal human oral mucous tissues, including experimental spectra and extracted optical parameters by calibration and inverse fitting tools. Based on standard calibration protocols and fitting tools, we expect to use this portable system to execute DRS measurements of double layer phantom and live tissues, to extract precise optical parameters from measured data by inverse simulation spectrum, and to quantify the contents of hemoglobin and blood oxygen saturation.
For the fluorescence measurements, our research team will search for enough information of fluorescence excitation-emission matrix (EEM) to choose proper light source and filters for uses. The final aim is to establish a stable and portable optical system for clinical diagnosis.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T17:14:28Z (GMT). No. of bitstreams: 1
ntu-101-R98945050-1.pdf: 3267730 bytes, checksum: edd8fe1d7b0ad07a3161e2cfe031a01f (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents口試委員審定書 ii
致謝 iii
中文摘要 iv
ABSTRACT v
目錄 vii
圖目錄 x
表目錄 xiii
第一章:緒論 1
1.1 前言 1
1.2 研究動機 2
1.3 論文研究架構 4
第二章:理論介紹 5
2.1 組織癌病變光學診斷技術 5
2.2 漫反射原理 7
2.3 蒙地卡羅演算法 11
2.4 高光譜影像儀 14
2.5 螢光光譜原理 16
第三章:實驗儀器與研究方法 19
3.1 研究架構 19
3.2 光學系統 20
3.2.1 高光譜顯微影像系統 20
3.2.2 表面反射衰減片設計 22
3.2.3 光纖探頭設計 26
3.2.4 移動式高光譜顯微影像系統建構設計及方法 27
3.3 順向光譜擬合工具 31
3.4 反向光譜擬合工具 33
3.5 仿體量測驗證 35
3.5.1 斜角光纖束量測效果測試 35
3.5.2 漫反射光譜單層擬組織仿體測試 37
3.6 正常人體口腔組織漫反射光譜量測 38
第四章:實驗結果與討論 39
4.1 光學系統分析與穩定性探討 39
4.1.1 系統視野及像素尺寸計算 39
4.1.2 光源光纖束尺寸計算 42
4.1.3 光譜解析度驗證 43
4.1.4 系統量測穩定度測試 45
4.2 仿體量測結果 46
4.2.1 斜角光纖量測 46
4.2.2 漫反射光譜量測 47
4.3 正常人體口腔組織漫反射光譜量測 52
第五章:結論與未來展望 57
參考文獻 58
dc.language.isozh-TW
dc.title移動式高光譜顯微影像系統之建構與實測zh_TW
dc.titleConstruction and verification of portable hyper-spectral imaging systemen
dc.typeThesis
dc.date.schoolyear100-2
dc.description.degree碩士
dc.contributor.oralexamcommittee孫家偉(Chia-Wei Sun),曾盛豪(Sheng-Hao Tseng)
dc.subject.keyword漫反射光譜,螢光光譜,高光譜顯微影像系統,影像光纖束,zh_TW
dc.subject.keyworddiffuse reflectance spectrum,fluorescence spectrum,hyper-spectral imaging system,imaging fiber bundle,en
dc.relation.page60
dc.rights.note有償授權
dc.date.accepted2012-08-20
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept生醫電子與資訊學研究所zh_TW
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