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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 張建成(Chien-Cheng Chang) | |
dc.contributor.author | Yu-Sheng Lin | en |
dc.contributor.author | 林裕昇 | zh_TW |
dc.date.accessioned | 2021-06-16T05:08:16Z | - |
dc.date.available | 2016-08-22 | |
dc.date.copyright | 2014-08-22 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-08-19 | |
dc.identifier.citation | Agata, K. (2003). Regeneration and gene regulation in planarians. Current opinion in genetics & development 13, 492-496.
Agata, K., Tanaka, T., Kobayashi, C., Kato, K., and Saitoh, Y. (2003). Intercalary regeneration in planarians. Developmental dynamics : an official publication of the American Association of Anatomists 226, 308-316. Agata, K., and Umesono, Y. (2008). Brain regeneration from pluripotent stem cells in planarian. Philosophical transactions of the Royal Society of London Series B, Biological sciences 363, 2071-2078. Alvarado, A.S. (2002). The Schmidtea mediterranea database as a molecular resource for studying platyhelminthes, stem cells and regeneration. Development 129, 5659-5665. Augustine, S., Gagnaire, B., Floriani, M., Adam-Guillermin, C., and Kooijman, S.A. (2011). Developmental energetics of zebrafish, Danio rerio. Comparative biochemistry and physiology Part A, Molecular & integrative physiology 159, 275-283. Baguna, J., Salo, E., and Auladell, C. (1989). Regeneration and pattern formation in planarians iii evidence that neoblasts are totipotent stem cells and the source of blastema cells. Development 107, 77-86. Baguna, J., and Slack, J.M.W. (1981). Planarian neoblasts. Nature 290, 14 - 15. Barros, T.P., Alderton, W.K., Reynolds, H.M., Roach, A.G., and Berghmans, S. (2008). Zebrafish: an emerging technology for in vivo pharmacological assessment to identify potential safety liabilities in early drug discovery. British journal of pharmacology 154, 1400-1413. Beane, W.S., Morokuma, J., Lemire, J.M., and Levin, M. (2013). Bioelectric signaling regulates head and organ size during planarian regeneration. Development 140, 313-322. Bely, A.E., and Nyberg, K.G. (2010). Evolution of animal regeneration: re-emergence of a field. Trends in Ecology & Evolution 25, 161-170. Chico, T.J., Ingham, P.W., and Crossman, D.C. (2008). Modeling cardiovascular disease in the zebrafish. Trends in cardiovascular medicine 18, 150-155. Collier, T., Follen, M., Malpica, A., and Richards-Kortum, R. (2005). Sources of scattering in cervical tissue: determination of the scattering coefficient by confocal microscopy. Applied optics 44, 2072-2081. Ericsson, A.C., Crim, M.J., and Franklin, C.L. (2013). A brief history of animal modeling. Missouri medicine 110, 201-205. Fercher, A.F., Drexler, W., Hitzenberger, C.K., and Lasser, T. (2003). Optical coherence tomography - principles and applications. Reports on Progress in Physics 66, 239. Fujimoto, J., and Drexler, W. (2008). Introduction to Optical Coherence Tomography. In Optical Coherence Tomography, W. Drexler, and J. Fujimoto, eds. (Springer Berlin Heidelberg), pp. 1-45. Gentile, L., Cebria, F., and Bartscherer, K. (2011). The planarian flatworm: an in vivo model for stem cell biology and nervous system regeneration. Disease models & mechanisms 4, 12-19. Gossage, K.W., Smith, C.M., Kanter, E.M., Hariri, L.P., Stone, A.L., Rodriguez, J.J., Williams, S.K., and Barton, J.K. (2006). Texture analysis of speckle in optical coherence tomography images of tissue phantoms. Physics in medicine and biology 51, 1563-1575. Gossage, K.W., Tkaczyk, T.S., Rodriguez, J.J., and Barton, J.K. (2003). Texture analysis of optical coherence tomography images: feasibility for tissue classification. Journal of biomedical optics 8, 570-575. Guedelhoefer, O.C.t., and Sanchez Alvarado, A. (2012). Planarian immobilization, partial irradiation, and tissue transplantation. Journal of visualized experiments : JoVE. Haigh, J.J. (2008). Role of VEGF in organogenesis. Organogenesis 4, 247-256. Haralick, R.M. (1979). Statistical and structural approaches to texture. Proceedings of the IEEE 67, 786-804. Haralick, R.M., Shanmugam, K., and Dinstein, I.H. (1973). Textural Features for Image Classification. Systems, Man and Cybernetics, IEEE Transactions on SMC-3, 610-621. Heideman, W., Antkiewicz, D., Carney, S., and Peterson, R. (2005). Zebrafish and cardiac toxicology. Cardiovasc Toxicol 5, 203-214. Hitzenberger, C., Trost, P., Lo, P.-W., and Zhou, Q. (2003). Three-dimensional imaging of the human retina by high-speed optical coherence tomography. Opt Express 11, 2753-2761. Huang, D., Swanson, E.A., Lin, C.P., Schuman, J.S., Stinson, W.G., Chang, W., Hee, M.R., Flotte, T., Gregory, K., Puliafito, C.A., et al. (1991). Optical coherence tomography. Science 254, 1178-1181. Kabli, S., Alia, A., Spaink, H.P., Verbeek, F.J., and De Groot, H.J. (2006). Magnetic resonance microscopy of the adult zebrafish. Zebrafish 3, 431-439. Kabli, S., Spaink, H.P., De Groot, H.J., and Alia, A. (2009). In vivo metabolite profile of adult zebrafish brain obtained by high-resolution localized magnetic resonance spectroscopy. Journal of magnetic resonance imaging : JMRI 29, 275-281. Kishi, S., Slack, B.E., Uchiyama, J., and Zhdanova, I.V. (2009). Zebrafish as a genetic model in biological and behavioral gerontology: where development meets aging in vertebrates-a mini-review. Gerontology 55, 430-441. LeClair, E.E., and Topczewski, J. (2010). Development and regeneration of the zebrafish maxillary barbel: a novel study system for vertebrate tissue growth and repair. PloS one 5, e8737. Lin, Y.S., Chu, C.C., Tsui, P.H., and Chang, C.C. (2013). Evaluation of zebrafish brain development using optical coherence tomography. Journal of biophotonics 6, 668-678. Lobo, D., Beane, W.S., and Levin, M. (2012). Modeling planarian regeneration: a primer for reverse-engineering the worm. PLoS computational biology 8, e1002481. Meng-Chi, H., Li-Wei, K., Wu, E., and Jyh-Horng, C. (2007). Imaging Adult Zebrafish Brain Structures Using Micro-fabricated RF Coil on 3T MRI System. Paper presented at: Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 2007 NFSI-ICFBI 2007 Joint Meeting of the 6th International Symposium on. Misun, H., Cha, Y., Luigi, M., and Bo, L. (2007). Zebrafish as a model system to screen radiation modifiers. Curr Genomics 8, 360-369. Morgan, T.H. (1898). Experimental studies of the regeneration of Planaria maculata. Archiv fur Entwickelungsmechanik der Organismen 7, 364-397. Neusslein-Volhard, C., and Dahm, R. (2002). Zebrafish : a practical approach (Oxford: Oxford University Press). Newmark, P.A., and Sanchez Alvarado, A. (2002). Not your father's planarian: a classic model enters the era of functional genomics. Nature reviews Genetics 3, 210-219. Oviedo, N.J., Morokuma, J., Walentek, P., Kema, I.P., Gu, M.B., Ahn, J.M., Hwang, J.S., Gojobori, T., and Levin, M. (2010). Long-range neural and gap junction protein-mediated cues control polarity during planarian regeneration. Developmental biology 339, 188-199. Peterson, R.T., Nass, R., Boyd, W.A., Freedman, J.H., Dong, K., and Narahashi, T. (2008). Use of non-mammalian alternative models for neurotoxicological study. Neurotoxicology 29, 546-555. Phelps, H.A., and Neely, M.N. (2005). Evolution of the Zebrafish Model: From Development to Immunity and Infectious Disease. Zebrafish 2, 87-103. Rao, K.D., Alex, A., Verma, Y., Thampi, S., and Gupta, P.K. (2009). Real-time in vivo imaging of adult zebrafish brain using optical coherence tomography. Journal of biophotonics 2, 288-291. Reddien, P.W., and Sanchez Alvarado, A. (2004). Fundamentals of planarian regeneration. Annual review of cell and developmental biology 20, 725-757. Saleh, B.E.A., and Teich, M.C. (2007). Fundamentals of photonics (Hoboken, N.J.: Wiley-Interscience). Simpson, C.R., Kohl, M., Essenpreis, M., and Cope, M. (1998). Near-infrared optical properties of ex vivo human skin and subcutaneous tissues measured using the Monte Carlo inversion technique. Physics in medicine and biology 43, 2465-2478. Skromne, I., and Prince, V.E. (2008). Current perspectives in zebrafish reverse genetics: moving forward. Developmental dynamics : an official publication of the American Association of Anatomists 237, 861-882. Sutton, R.N., and Hall, E.L. (1972). Texture Measures for Automatic Classification of Pulmonary Disease. Computers, IEEE Transactions on C-21, 667-676. van der Meer, F.J., Faber, D.J., Aalders, M.C., Poot, A.A., Vermes, I., and van Leeuwen, T.G. (2010). Apoptosis- and necrosis-induced changes in light attenuation measured by optical coherence tomography. Lasers Med Sci 25, 259-267. van Gemert, M.J., Jacques, S.L., Sterenborg, H.J., and Star, W.M. (1989). Skin optics. IEEE transactions on bio-medical engineering 36, 1146-1154. Wang, L., and He, D.C. (1990). New statistical approach for texture analysis. Photogrammetric Engineering and Remote Sensing 56, 61-66. Wang, L.V., and Wu, H. (2007). Biomedical Optics: Principles and Imaging (Wiley). Wullimann, M.F. (1996). Neuroanatomy of the Zebrafish Brain: A Topological Atlas. 朱峰正 (2012). 使用超音波散射統計參數影像評分肝纖維化程度:理論分析與臨床研究. In 應用力學研究所 (臺灣大學), pp. 1-128. 楊俊賢 (2011). 使用超音波影像紋理分析識別肝纖維化與脂肪化病灶. In 應用力學研究所 (臺灣大學), pp. 1-110. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55772 | - |
dc.description.abstract | 光學同調斷層掃描是一項非常新興的醫學影像技術,研究主軸是以光學同調斷層掃描系統當主要研究工具,主要針對動物模型的發展來做研究。動物模型有很多種,在此針對斑馬魚與渦蟲兩種動物模型來做研究。第一部分則是主要研究成年斑馬魚腦部發展的情況。斑馬魚近年來已經成為研究脊椎動物發育以及人類遺傳疾病的新興模式動物,所以,目前的研究是利用光學同調斷層掃描來研究成年斑馬魚腦部的發展情況,藉此了解斑馬魚腦發展的情況。並且延伸更多的研究,利用光學斷層掃描來即時追蹤及記錄斑馬魚器官發展的情況。第二部分則是研究渦蟲的再生,渦蟲本身具有特殊的再生能力,將渦蟲一切為二可再生回完整的渦蟲。所以,可以利用光學同調斷層掃描技術來觀察渦蟲於整個的再生過程的情況。
本研究所採用的分析方法主要有兩種,第一種是訊號衰減率,主要是利用光在組織穿透過程中,所訊號經過組織造成的衰減而產生的趨勢。第二種則是紋理分析方法,主要是計算出影像紋理在相對位置下像素對的灰階值關係,其中紋理特性會計算出五種參數,分別為:對比度、相關性、均質性、能量、熵。而這兩種方法主要是利用光學同調斷層掃描所得之B-mode影像並且圈選有興趣之區域(ROIs)來分析。結果的顯示中,訊號衰減率的分析方法顯示可以有效的辨別出成年斑馬魚腦部發展的趨勢,也可以辨別渦蟲的再生過程之表現。但是在紋理特性於五個參數的表現中,於成年斑馬魚腦部發展過程中,並沒有計算出可以了解斑馬魚腦部發展之趨勢,而在觀察渦蟲的再生情況的過程中,在對比度、相關性、均質性這三個紋理特性,則有比較顯著的趨勢存在。所以,光學同調斷層掃描是一項很有潛力的工具,使用來觀察小動物模型的發展。 | zh_TW |
dc.description.abstract | The zebrafish is a well-established model system used to study and understand various human biological processes. The present study used optical coherence tomography (OCT) to investigate growth of the adult zebrafish brain. Twenty zebrafish were studied, using their standard lengths as indicators of their age. Zebrafish brain aging was evaluated by analyzing signal attenuation rates and texture features in regions of interest (ROIs). Optical scattering originates from light interaction with biological structures. During development, the zebrafish brain gains cells. Signal attenuation rate, therefore, increases with increasing zebrafish brain age. This study’s analyses of texture features could not identify aging in zebrafish brain. These results, therefore, indicated that the OCT signal attenuation rate can indicate zebrafish brain aging, and its analysis provides a more effective means of observing zebrafish brain aging than texture features analysis. Using OCT system could further increase the technique’s potential for recognition and monitoring of zebrafish brain development
The planarian is widely used as a model for studying tissue regeneration. In this study, we used optical coherence tomography (OCT) for the real-time, high-resolution imaging of planarian tissue regeneration. Five planaria were sliced transversely to produce 5 head and 5 tail fragments. During a 2-week regeneration period, OCT images of the planaria were acquired to analyze the signal attenuation rates, intensity ratios, and image texture features (including contrast, correlation, homogeneity, energy, and entropy) to compare the primitive and regenerated tissues. In the head and tail fragments, the signal attenuation rates of the regenerated fragments decreased from -0.2 dB/μm to -0.05 dB/μm, between Day 1 and Day 6, and then increased to -0.2 dB/μm on Day 14. The intensity ratios decreased to approximately 0.8 on Day 6, and increased to between 0.8 and 0.9 on Day 14. The texture parameters of contrast, correlation, and homogeneity exhibited trends similar to the signal attenuation rates and intensity ratios during the planarian regeneration. The proposed OCT parameters might provide biological information regarding cell apoptosis and the formation of a mass of new cells during planarian regeneration. Therefore, OCT imaging is a potentially effective method for planarian studies. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T05:08:16Z (GMT). No. of bitstreams: 1 ntu-103-D98543005-1.pdf: 4463742 bytes, checksum: cd3eba8f5fedebdbce547c67874df418 (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 口試委員會審定書 i
致謝 ii 摘要 iii Abstract iv 目錄 vi 圖目錄 ix 表目錄 xiii 第一章 緒論 1 1.1 前言 1 1.2 研究目的 4 1.3 文獻回顧 5 1.3.1 斑馬魚 5 1.3.2 渦蟲 7 1.3.3 光學同調斷層掃描 11 1.4 論文架構 13 第二章 光學同調斷層掃描理論 14 2.1 光學同調斷層掃描 14 2.1.1 干涉原理 14 2.1.2 低同調干涉技術 18 2.2 系統解析度 25 2.2.1 縱向解析度 25 2.2.2 橫向解析度 26 第三章 實驗設備與分析方法 29 3.1. 光學同調斷層掃描系統 29 3.1.1. 光學同調斷層掃描系統 29 3.1.2. 硬體設備 32 3.1.3. 軟體操作 33 3.2. 分析方法 35 3.2.1. 訊號衰減 35 3.2.2. 紋理分析 36 3.2.2.1. 空間灰階相關矩陣 37 3.2.2.2. 紋理特徵值 41 3.2.2.3. 能量 41 3.2.2.4. 熵 42 3.2.2.5. 同質性 42 3.2.2.6. 對比度 43 3.2.2.7. 相關性 45 3.2.3. 變異數分析 47 第四章 評估斑馬魚腦部發展 53 4.1. 介紹 53 4.2. 實驗設備與樣本準備 55 4.3. 資料分析 59 4.4. 實驗結果與討論 64 4.4.1. 視窗大小分析 64 4.4.2. 使用訊號衰減率來分析並且評估成年斑馬魚腦部發展 66 4.4.3. 使用變異數分析來了解斑馬魚腦部發展之訊號衰減差異 73 4.4.4. 使用紋理特性來分析並且評估成年斑馬魚腦部發展 75 4.4.5. 使用變異數分析來了解斑馬魚腦部發展之紋理特性 82 第五章 評估渦蟲再生情況 94 5.1. 介紹 94 5.2. 實驗設備與樣本準備 96 5.2.1. 光學同調斷層掃描系統 96 5.2.2. 使用光學同調斷層掃描影向來量測渦蟲再生的情況 97 5.3. 資料分析 101 5.4. 實驗結果與討論 102 5.4.1. 使用訊號衰減率來分析渦蟲再生 102 5.4.2. 使用紋理特性來分析渦蟲再生 106 第六章 結論與未來展望 113 6.1. 結論 113 6.2. 未來展望 115 參考資料 A | |
dc.language.iso | zh-TW | |
dc.title | 光學同調斷層影像應用於小動物生理發展評估之研究 | zh_TW |
dc.title | Evaluations of Physiological Development of Small Animals Using Optical Coherence Imaging | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 博士 | |
dc.contributor.coadvisor | 朱錦洲(Chin-Chou Chu) | |
dc.contributor.oralexamcommittee | 楊瑞珍(Ruey-Jen Yang),林真真(Jen-Jen Lin),崔博翔(Po-Hsiang Tsui),黃執中(Chih-Chung Huang),陳建甫(Chien-Fu Chen) | |
dc.subject.keyword | 光學同調斷層掃描,斑馬魚,渦蟲, | zh_TW |
dc.subject.keyword | optical coherence tomography,zebrafish,planarian, | en |
dc.relation.page | 115 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-08-19 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 應用力學研究所 | zh_TW |
顯示於系所單位: | 應用力學研究所 |
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