跳到主要內容

臺灣博碩士論文加值系統

(35.172.136.29) 您好!臺灣時間:2021/08/02 04:14
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:張喬萍
研究生(外文):Chiao-Ping Chang
論文名稱:三維呈像技術之整合及其在醫療影像之應用
論文名稱(外文):The Integration of 3D Rendering Technologies and Its Application to Medical Imaging
指導教授:張顧耀張顧耀引用關係
指導教授(外文):Ku-Yaw Chang
學位類別:碩士
校院名稱:大葉大學
系所名稱:資訊工程學系碩士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:50
中文關鍵詞:三維呈像表面呈像實體呈像虛擬大腸鏡
外文關鍵詞:Three-dimensional RenderingSurface RenderingVolume RenderingVirtual Colonoscopy
相關次數:
  • 被引用被引用:0
  • 點閱點閱:215
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
三維呈像技術在醫療影像重建的應用上一直扮演著重要的角色,最常見的包括表面呈像(surface rendering)與實體呈像(volume rendering)這兩種技術。然而在實際醫療臨床應用上,都僅侷限於單一技術的使用:表面呈像雖可以讓醫師看見物體之立體化呈現,卻無法得知體素(voxel)的灰階值;實體呈像雖可以顯示物體的灰階資訊,卻難以呈現該物體之立體結構。
本論文提出一個整合上述表面呈像及實體呈像的方法,並透過VTK(Visualization Toolkit)所支援之視覺化功能,將此兩種呈像技術加以結合;而整合後的結果,不但可以清楚地呈現物體的立體結構,也可在由使用者所指定的平面上,顯示該物體的灰階資訊。同時,我們也將此項技術應用於虛擬大腸鏡中,讓醫生不再只是遊走並觀察大腸內部腸壁皺摺的結構,而是能進一步針對所感興趣的區域,在指定的平面上顯示相關的灰階資訊。該項技術與外科病理特徵的進一步結合,不但可以幫醫師節省許多的診斷時間,對於息肉存在與否或良惡性之判斷也會有很大的助益。
Three dimensional rendering technologies have been play a vital role medical imaging applications, including surface rendering and volume rendering. In clinical applications, however, only one rendering method is adopted at a time. The surface rendering allows physicians to view an object in three dimensional shape, but no gray level information of voxels is available. The volume rendering, on the contrary, can display only the voxels' gray level information, not its three dimensional structure.
This paper describes an approach to the integration of the above-mentioned rendering methods. And based on the visualization features provided by VTK, we combine these two different approaches into a new one. The integrated results can display not only an object's three-dimensional structure, but also its gray level information on a user-specified plane. Furthermore, we apply this integration approach into the virtual colonoscopy application. This makes it possible for a physician to not only navigate the colon, but also see the gray level information on the plane of interest. Such integration can help a physician save a lot of time and decide whether a polyp exists or not.
目錄

封面內頁
簽名頁
授權書 iii
中文摘要 iv
ABSTRACT vii
誌謝 viii
目錄 ix
圖目錄 viii

第一章 前言 1
第二章 三維呈像技術 3
第一節 紋理映射 3
第二節 表面呈像 4
第三節 實體呈像 6
第四節 表面呈像與實體呈像之比較 7
第三章 三維呈像技術實作 9
第一節 VTK 9
第二節 表面呈像實作 11
第三節 實體呈像實作 14
第四章 整合及應用 19
第一節 表面呈像與實體呈像之整合 19
第二節 技術應用 27
第五章 結論與未來展望 37
參考文獻 38


圖目錄

圖2.1 表面呈像影像 4
圖3.1 VTK之管道執行機制 9
圖3.2 VTK呈像步驟 11
圖3.3 表面呈像步驟 12
圖3.4 表面呈像實作結果 13
圖3.5 實體呈像步驟 16
圖3.6 實體呈像中不透明度與灰階值之對應關係 17
圖3.7 實體呈像實作結果 18
圖4.1 表面呈像與實體呈像之整合流程 20
圖4.2 灰階統計圖 21
圖4.3 點向式平面方程式 21
圖4.4 垂足座標 22
圖4.5 參數關係圖 23
圖4.6 表面呈像與實體呈像整合應用於頭顱之結果 26
圖4.7 表面呈像與實體呈像整合應用於腹部之結果 26
圖4.8 大腸立體外觀圖,圖片來源:[18] 28
圖4.9 大腸內視圖 29
圖4.10 病例一腫瘤部位之表面呈像結果 31
圖4.11 病例一腫瘤部位之表面呈像與實體呈像結果 32
圖4.12 病例一正常腸壁之表面呈像 33
圖4.13 病例一正常腸壁之表面呈像與實體呈像結果 33
圖4.14 病例一顯示腸壁及部分腸壁外之灰階值 34
圖4.15 病例一表面呈像與整個實體資料切面實體呈像 35
圖4.16 病例二正常腸壁之表面呈像結果 35
圖4.17 病例二正常腸壁之表面呈像與實體呈像結果 36
參考文獻

[1]Abhir Bhalerao, Hanspeter Pfister, Michael Halle, Ron Kikinis, “Fast Re-Rendering Of Volume and Surface Graphics By Depth, Color, and Opacity Buffering,” Medical Image Analysis, Volume 4, Number 3, pp. 235-251(17), 2000.
[2]Roberts, J.C., “An Overview of Rendering from Volume Data including Surface and Volume Rendering,” Technical Report 13, Computer Science at Kent, University of Kent, Canterbury, UK, 1993.
[3]Kitware Inc., “The Visualization Toolkit,” U.S.A., Kitware Inc., 2004.
[4]Lorensen, W.E., Cline, H.E., “Marching cubes: A High Resolution 3D Surface Construction Algorithm,” Computer Graphics, Volume 21, Number 4, pp. 163-169, 1987.
[5]Suya, You, Lichan, Hong, Ming, Wan, Junyaprasert, K., Kaufman, A., Muraki, S., Yong, Zhou, Wax, M., Zhengrong, Liang, “Interactive volume rendering for virtual colonoscopy,” IEEE Visualization, pp. 433-436, 1997.
[6]Ooijen, P. M. A. van, van Geuns, R. J. M., Rensing, B. J. W. M., Bongaerts, A. H. H. de, Feyter, P. J., Oudkerk, M., “Noninvasive Coronary Imaging Using Electron Beam CT: Surface Rendering Versus Volume Rendering,” American journal of roentgenology, Volume 180, pp. 223-226, 2003.
[7]Summers, RM, Feng, DH, Holland, SM, Sneller, MC, Shelhamer, JH, “Virtual Bronchoscopy Segmentation Method for Real-Time Display,” Radiology, Volume 200, pp. 857-862, 1996.
[8]Christian, Tietjen, Tobias, Isenberg, Bernhard, Preim, “Combining Silhouettes, Surface, and Volume Rendering for Surgery Education and Planning,” IEEE VGTC Symposium on Visualization, 2005.
[9]Chen, D., Wax, M.R., Li, L., Liang, Z., Li, B., Kaufman, A.E., “A Novel Approach to Extract Colon Lumen from CT Images for Virtual Colonoscopy,” IEEE Transactions on Medical Imaging, Volume 19, Number 12, pp. 1220-1226, 2000.
[10]Ramin, Shahidi, “Surface Rendering versus Volume Rendering in Medical Imaging: Techniques and Applications,” IEEE Visualization, pp. 439-440, 1996.
[11]Wei, Li, Arie, Kaufman, Kevin, Kreeger, “Real-Time Volume Rendering for Virtual Colonoscopy,” Volume Graphics, 2001.
[12]Kitware Inc., “The VTK User’s Guide,” U.S.A., Kitware Inc., 2004.
[13]Sato, M., Lakare, S., Wan, M., Kaufman, A.E., Liang, Z., Wax, M.R., “An Automatic Colon Segmentation for 3D Virtual Colonoscopy,” IEICE Transactions on Information and Systems, E84-D(1), pp. 201-208, 2001.
[14]黃千芳、賴世偉和劉秋松, “大腸癌的篩檢”,基層醫學, 第二十一, 第七期, 頁193-196, 民國94年。
[15]Ko, C.C., Jang, J.W., “Interactive Polyp Biopsy based on Automatic Segmentation of Virtual Colonoscopy,” Proceedings of the Fourth IEEE Symposium on Bioinformatics and Bioengineering, pp. 159-166, 2004.
[16]Hong, L., Kaufman, A., Wei, Y.C., Viswambharan A., Wax M., Liang Z., “3D Virtual Colonoscopy,” Proceedings of the 1995 Biomedical Visualization, pp. 26-32, 1995.
[17]Lee, T.Y., Lin, P.H., Lin, C.H., Sunm, Y.N., Lin, X.Z., “Interactive 3-D Virtual Colonoscopy System,” IEEE Trans on Information Technology in Biomedicine, Volume 3, Number 2, pp. 139-150, 1999.
[18]Ronald, M. Summers, Christopher, F. Beaulieu, Lynne, M. Pusanik, MEng, James, D. Malley, R. Brooke Jeffrey, Jr, Daniel, I. Glazer, Sandy, Napel, “Automated Polyp Detector for CT Colonography:Feasibility Study. Radiology,” 216:284–290, 2000.
[19]Yoshida, H., Näppi, J., MacEneaney, P., Rubin, D.T., Dachman, A.H., “Computer-aided Diagnosis Scheme for Detection of Polyps at CT Colonography,” Radio Graphics, Volume 22, Number 4, pp. 963-979, 2002.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top