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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 宋孔彬 | |
| dc.contributor.author | Gen-Hao Tien | en |
| dc.contributor.author | 田耕豪 | zh_TW |
| dc.date.accessioned | 2021-06-15T13:50:25Z | - |
| dc.date.available | 2020-12-01 | |
| dc.date.copyright | 2015-12-01 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-10-16 | |
| dc.identifier.citation | [1] 衛生福利部統計處, '民國103年死因統計年報,' 2015.
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Palmer, et al., 'Monte Carlo-based inverse model for calculating tissue optical properties. Part I: Theory and validation on synthetic phantoms,' Applied Optics, vol. 45, pp. 1062-1071, 2006. [13] V. T.-C. Chang, et al., 'Visible light optical spectroscopy is sensitive to neovascularization in the dysplastic cervix,' Journal of Biomedical Optics, vol. 15, p. 057006, 2010. [14] S. McGee, et al., 'Model-based spectroscopic analysis of the oral cavity: impact of anatomy,' Journal of Biomedical Optics, vol. 13, p. 064034, 2008. [15] A. Amelink, et al., 'Quantitative fluorescence spectroscopy in turbid media using fluorescence differential path length spectroscopy,' Journal of Biomedical Optics, vol. 13, p. 054051, 2008. [16] G. M. Palmer, et al., 'Monte-Carlo-based model for the extraction of intrinsic fluorescence from turbid media,' J Biomed Opt, vol. 13, p. 024017, 2008. [17] R. Graaff, et al., 'Condensed Monte Carlo simulations for the description of light transport,' Applied Optics, vol. 32, pp. 426-434, 1993. [18] N. Ren, et al., 'GPU-based Monte Carlo simulation for light propagation in complex heterogeneous tissues,' Optics Express, vol. 18, pp. 6811-6823, 2010. [19] N. Rajaram, et al., 'Lookup table–based inverse model for determining optical properties of turbid media,' Journal of Biomedical Optics, vol. 13, p. 050501, 2008. [20] 施光偉, '移動式漫反射光譜系統建立與人體口腔黏膜參數萃取,' 2013. [21] 畢襄辰, '移動式高光譜顯微影像系統之建構與實測,' 2012. [22] 莊閔傑, '臨床移動式漫反射光譜系統之建構與實測,' 2015. [23] 蕭逸嫻, '利用螢光光譜辨別黏膜癌前病變,' 2015. [24] B. Valeur, et al., 'Molecular fluorescence : principles and applications,' 2012. [25] J. Reichman, 'Handbook of optical filters for fluorescence microscopy,' Chroma Technology Corporation, 2000. [26] 許芳瑋, '以GPU加速蒙地卡羅演算法並分析漫反射和螢光光譜,' 2014. [27] E. Pery, et al., 'Monte Carlo modeling of multilayer phantoms with multiple fluorophores: simulation algorithm and experimental validation,' Journal of biomedical optics, vol. 14, p. 024048, 2009. [28] A. Welch, et al., 'Propagation of fluorescent light,' Lasers in surgery and medicine, vol. 21, pp. 166-178, 1997. [29] J. Swartling, et al., 'Accelerated Monte Carlo models to simulate fluorescence spectra from layered tissues,' JOSA A, vol. 20, pp. 714-727, 2003. [30] M. Müller, et al., 'Recovering intrinsic fluorescence by Monte Carlo modeling,' Journal of biomedical optics, vol. 18, p. 027009, 2013. [31] J. R. Mourant, et al., 'Mechanisms of light scattering from biological cells relevant to noninvasive optical-tissue diagnostics,' Applied Optics, vol. 37, pp. 3586-3593, 1998. [32] I. 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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/51799 | - |
| dc.description.abstract | 本研究主要是研究組織的螢光光譜,利用蒙地卡羅模型,開發一套反向螢光光譜擬合工具,用來定量組織的螢光光學參數,分析癌組織病變過程的螢光特性。
我們利用兩種方式,參數法和矩陣疊積法,建立兩種不同的螢光強度資訊表格,用於反向螢光光譜擬合工具中,避免蒙地卡羅模擬耗時的特性,增加我們擷取螢光光學參數時所需的時間成本。 透過表格格點大小分析,我們發現在表格建立的過程中,兩者方式於不同的參數組合數量下,在佔有記憶體空間和花費時間上各有優劣,參數法在參數組合數量少時較優,反之,矩陣疊積法在參數組合數量較多時,才會顯現他的優勢。 同時,我們配合本實驗室所建立的光譜量測系統,模擬臨床實驗上,反向螢光光譜擬合過程中,可能遇到的雜訊問題,包括螢光光譜測量上的誤差,和反向螢光光譜擬合過程中,用於尋找螢光強度資訊表格的漫反射光學參數誤差。我們發現,系統的量測誤差,對反向螢光光譜擬合工具,在定量螢光光學參數上,影響不大,但漫反射光學參數的誤差,卻有明顯的影響。 未來,我們將應用反向螢光光譜擬合工具於臨床實驗,配合光譜量測系統實際分析活體組織的螢光光譜,期待定量出來的螢光光學參數,能幫助癌病變的篩檢與診斷。 | zh_TW |
| dc.description.abstract | This research is to develop an inverse fluorescence spectra fitting tool, using the Monte Carlo model, to quantify the fluorescence optical parameters of tissue, hoping that we can acquire the tissue fluorescence information for analyzing and distinguishing the cancer tissues form normal ones.
We use two different ways, MPG (Method of parameter grid) and MMC (Method of matrix convolution), to build the fluorescence information table, and apply them into our inverse fluorescence spectra fitting tool to reduce the time cost during the parameters extracted process, to make the inverse tool faster. We use different grid sizes of information table in our inverse fluorescence spectra fitting tool and analyze the correction of extracting parameters to get the ideas how big of information table we should build. When the size of information table is small, we find that MPG needs less memory and time than MMC does to build the information table. However, the result may reverse if the table size keeps increasing. We also analyze the fluorescence spectra noise depends on the portable spectroscopy we designed and analyze the diffusion optical parameters error which may have an effect on information table searching during parameters extracted process. We find that the former one does not have an obvious influence on the correction of extracting fluorescence optical parameters, while the later one does. In the future, we will use the inverse fluorescence spectra fitting tool to analyze the in vivo fluorescence spectra measured from our portable spectroscopy, and hoping that the optical parameters we get can help the tumor diagnosis. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T13:50:25Z (GMT). No. of bitstreams: 1 ntu-104-R02945006-1.pdf: 1269897 bytes, checksum: d8bb96030fb3001ca6bcbe257bd92778 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | 口試委員審定書................................................................................................................I
致謝...................................................................................................................................II 中文摘要.........................................................................................................................III Abstract...........................................................................................................................IV 目錄..................................................................................................................................V 圖目錄............................................................................................................................VII 表目錄.............................................................................................................................IX 第一章 緒論 1.1 前言...........................................................................................................1 1.2 研究背景…...............................................................................................1 1.3 研究動機…...............................................................................................4 第二章 理論基礎 2.1 螢光光譜原理….......................................................................................6 2.2 蒙地卡羅演算法…...................................................................................7 2.2.1 光子的追跡…...................................................................................7 2.2.2 吸收與散射事件…...........................................................................9 2.2.3 介面現象….....................................................................................11 2.2.4 光子終止條件….............................................................................12 2.2.5 螢光蒙地卡羅模型….....................................................................13 2.3 螢光強度資訊表格….............................................................................18 2.3.1 參數法….........................................................................................18 2.3.2 矩陣疊積法….................................................................................19 第三章 研究方法 3.1 螢光強度資訊表格….............................................................................21 3.1.1 組織光纖探頭模型….....................................................................21 3.1.2 參數法表格….................................................................................22 3.1.3 矩陣疊積法表格….........................................................................24 3.2 反向螢光光譜擬合工具….....................................................................26 3.3 標準螢光模擬光譜….............................................................................27 3.3.1 漫反射光學參數….........................................................................28 3.3.2 螢光光學參數….................................…........................................32 3.4 表格格點分析….................................…................................................33 3.5 雜訊分析….................................…........................................................34 3.5.1 螢光光譜誤差….................................…........................................34 3.5.2 漫反射光學參數誤差….................................................................35 第四章 實驗結果 4.1 程式驗證….................................…........................................................37 4.2 光子穩定度和模擬時間….................................…................................38 4.3 標準螢光模擬光譜….................................…........................................39 4.4 表格格點分析….........................................…........................................41 4.5 表格建立記憶體空間和時間推估….................................…................44 4.6 雜訊分析….........................................…................................................47 4.6.1 螢光光譜誤差….................................…........................................47 4.6.2 漫反射光學參數誤差….................................…............................49 4.7 參數法與矩陣疊積法….................................…....................................59 第五章 結論與未來展望 5.1 結論….....................................................................................................66 5.2 未來展望….............................................................................................67 參考文獻….....................................................................................................................69 | |
| dc.language.iso | zh-TW | |
| dc.subject | 矩陣疊積法 | zh_TW |
| dc.subject | 螢光光譜 | zh_TW |
| dc.subject | 螢光光學參數 | zh_TW |
| dc.subject | 蒙地卡羅模型 | zh_TW |
| dc.subject | 表格 | zh_TW |
| dc.subject | 參數法 | zh_TW |
| dc.subject | Fluorescence spectra | en |
| dc.subject | Table | en |
| dc.subject | Monte Carlo model | en |
| dc.subject | Fluorescence optical parameters | en |
| dc.subject | MMC (Method of matrix convolution) | en |
| dc.subject | MPG (Method of parameter grid) | en |
| dc.title | 利用螢光蒙地卡羅模型建立螢光強度資訊表格定量雙層組織的螢光光學參數 | zh_TW |
| dc.title | Quantifying the fluorescence optical properties of two-layered tissue from spectroscopic data using fluorescence information table constructed by fluorescence Monte Carlo model | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 孫家偉,曾雪峰 | |
| dc.subject.keyword | 螢光光譜,螢光光學參數,蒙地卡羅模型,表格,參數法,矩陣疊積法, | zh_TW |
| dc.subject.keyword | Fluorescence spectra,Fluorescence optical parameters,Monte Carlo model,Table,MPG (Method of parameter grid),MMC (Method of matrix convolution), | en |
| dc.relation.page | 71 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-10-16 | |
| 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 |
| 顯示於系所單位: | 生醫電子與資訊學研究所 | |
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