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姓名 張紹德(Shao-te Chang) 查詢紙本館藏 畢業系所 機械工程學系 論文名稱 虛擬X光與C-arm影像之模擬技術發展
(Development of Virtual X-ray and C-arm Images Simulation Technique)相關論文 檔案 [Endnote RIS 格式] [Bibtex 格式] [相關文章] [文章引用] [完整記錄] [館藏目錄] [檢視] [下載]
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摘要(中) 二維醫學影像X光普遍被使用於骨科術前診斷,另外由於C-arm設備的高機動性高,能在手術中隨時更新影像,因此於骨科手術中經常藉由C-arm影像輔助手術進行。然而在手術過程中,醫師須憑藉本身臨床經驗規劃手術路徑以進行手術,為了要精準的定位,一次手術常需照射數十張的C-arm影像,造成醫護人員長期暴露在具有放射線的環境下,對健康影響甚大。本研究發展一套以三維CT影像灰階為資料,模擬X光與C-arm二維影像技術,其核心演算法則是以光線投射法及立體渲染法為主,以顯示虛擬二維影像;為了提高計算效率與影像擬真度,本研究改良原始演算方式,減少不必要的資料計算與加入多執行緒處理,達到減少模擬計算時間;另外,利用分區域線性改變原始CT影像灰階後再進行影像模擬,根據調整線性方程式參數以模擬出相似於真實二維影像,並觀察真實二維影像特徵,由特徵判斷虛擬影像與真實影像相似度,找出最佳模擬結果可應用於後續之研究。
摘要(英) Two-dimensional X-ray images are commonly used for the pr-surgical diagnosis of orthopedic diseases, while two-dimensional C-arm images are typically employed for detecting the status of the implants and surgical tools during the surgery. Over radiation is always a problem in current surgical process as taking the C-arm images is a trial-and-error process. Even for an experienced surgeon, he must face the risk of receiving high dose of radiation as the radiation is accumulated day by day, year by year. In this study, a virtual X-ray and C-arm images simulation technique is developed for providing a way of training without using real X-ray or C-arm images. The ray casting and volume rendering methods are employed for the generation of the virtual images from the CT data. Two important issues affecting the feasibility of the virtual images are the similarity to real images and the computational efficiency. Approximate algorithms are presented to deal with such tissues. Several examples, including real X-ray images and C-ram images on human body and prosthesis, respectively, are presented to evaluate the feasibility of the proposed virtual simulation technique. In addition, extensive parametric study is also conducted to acquire suitable combination of parameters for real applications.
關鍵字(中) ★ 醫學影像
★ 光線投射法
★ 立體渲染法
★ 二維影像模擬關鍵字(英) ★ 2D image simulation
★ volume rendering
★ ray casting
★ Medical image論文目次 摘 要............................................................................................................. I
Abstract ......................................................................................................II
誌謝...........................................................................................................III
圖目錄...................................................................................................... VI
表目錄.....................................................................................................IIX
第一章 緒論...............................................................................................1
1.1前言................................................................................................1
1.2文獻回顧........................................................................................2
1.3研究目的與方法............................................................................6
1.3.1研究目的..............................................................................6
1.3.2研究方法..............................................................................8
1.4 論文架構.......................................................................................9
第二章 虛擬二維放射影像模擬............................................................11
2.1前言..............................................................................................11
2.2 三維CT影像顯示技術.............................................................11
2.3虛擬X光影像投影.....................................................................12
2.3.1 X光成像原理.................................................................12
2.3.2 虛擬X光影像模擬方法..................................................14
2.3.3 不同三維物件之模擬成像分析......................................20
2.4 模擬虛擬C-arm影像................................................................26
2.5 虛擬二維放射影像模擬改良....................................................30
2.5.1 效率改良 ..........................................................................30
2.5.2 分區域線性累加...............................................................36
2.5.3 改良後之虛擬二維放射影像模擬..................................39
第三章 虛擬二維影像模擬範例與測試................................................44
3.1前言..............................................................................................44
3.2模擬效能數據測試......................................................................44
3.2.1虛擬X光影像...................................................................44
3.2.2虛擬C-arm影像...............................................................49
3.3模擬虛擬二維影像測試.............................................................54
3.3.1虛擬X光影像...................................................................55
3.3.1.1真實人體CT模擬......................................................55
3.3.1.2假體人工骨CT模擬..................................................60
3.3.2虛擬C-arm影像...............................................................65
3.3.2.1真實人體CT模擬......................................................65
3.3.2.2假體人工骨CT模擬..................................................67
3.4虛擬二維影像驗證......................................................................73
3.4.1虛擬X光影像...................................................................73
3.4.2虛擬C-arm光影像...........................................................76
3.5有網格資料之虛擬影像模擬測試.............................................81
第四章 虛擬二維影像應用....................................................................86
4.1前言..............................................................................................86
4.2應用一..........................................................................................86
4.3應用二..........................................................................................90
第五章 結論與未來展望........................................................................92
5.1結論..............................................................................................92
5.2未來展望......................................................................................93
參考文獻...................................................................................................94
參考文獻 [1]P. E. Kinahan, B. H. Hasegawa and T. Beyer, “X-ray-based attenuation correction for positron emission tomography/computed tomography scanners,” Seminars in Nuclear Medicine, Vol. 33, No. 3, pp. 166-179, July 2003.
[2]J. A. Seibert and J. M. Boone, “X-ray imaging physics for nuclear medicine technologists. Part 2 : X-ray interactions and image formation,” Journal of Nuclear Medicine Technology, Vol. 33, No. 1, 2005.
[3]R. A. Drebin, L. Carpenter and P. Hanrahan, “Volume rendering,” ACM Siggraph Computer Graphics, Vol. 22, No.4, pp. 65-74, 1988.
[4]M. Levoy, “Display of surfaces from volume data,” IEEE Computer Graphics and Applications, Vol. 8, No. 3, pp. 29-37, 1988.
[5]R. L. Siddon. “Fast calculation of the exact radiological path for a three-dimensional CT array,” Medical Physics, Vol. 12, No. 2, 1985.
[6]G. W. Sherouse, K. Novins and E. L. Chaney, “Computation of digitally reconstructed radiographs for use in radiotherapy treatment design,” International Journal of Radiation Oncology, Vol. 18, No. 3, pp. 651-658, 1990.
[7]W. Wein, B. Roper and N. Navab, “2D/3D registration based on volume gradients,” SPIE Medical Imaging, Vol. 5747, pp. 144-150, 2005.
[8]M. Levoy and P. Hanrahan, “Light field rendering,” Computer Graphics Annual Conference Series, pp. 31-42, 1996.
[9]D. B. Russakoff, T. Rohlfing, D. Rueckert, R. Shahidi, D. Kim and C. R. Maurer, “Fast calculation of digitally reconstructed radiographs using light fields,” Proceedings of the SPIE, Vol. 5032, pp. 684-695, 2003
[10]T. Malzbender, “Fourier volume rendering,” ACM Transactions on
95
Graphics, Vol. 12, No. 3, July 1993.
[11]E. Ntasis, T. A. Maniatis and K. S. Nikita, “Fourier volume rendering for real time preview of digital reconstructed radiographs: a web-based implementation,” Computerized Medical Imaging and Graphics, Vol. 26, No. 1, pp. 1-8, January 2002.
[12]P. Lacroute and M. Levoy, “Fast volume rendering using a shear-warp factorization of the viewing transformation,” Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques, pp. 451-458, 1994.
[13]J. Weese, R. Göcke, G. P. Penney,P. Desmedt, T. M. Buzug and H. Schumann, “Fast voxel-based 2D/3D registration algorithm using a volume rendering method based on the shear-warp factorization,” Medical Imaging, Vol. 3661, pp. 802-810, 1999.
[14]J. Sweeney and K. Mueller, “Shear-Warp Deluxe: The shear-warp algorithm revisited,” Proceedings of Symposium on Visualization, pp. 95-104, 2002.
[15]L. Westover, “Interactive volume rendering,” Proceedings of the 1989 Chapel Hill Workshop on Volume Visualization, pp. 9-16, May 1989.
[16]L. Westover, “Footprint evaluation for volume rendering,” Computer Graphics, vol. 24, No. 4, pp. 367-376, 1990.
[17]W. Birkfellner, R. Seemann, M. Figl, J. Hummel, C. Ede, P. Homolka, X. Yang, P. Niederer and H. Bergmann, “Wobbled splatting-A fast perspective volume rendering method for simulation of X-ray images from CT,” Physics in Medicine and Biology, Vol.50, No. 9.
[18]K. Mueller, T. Möller, J. E. Swan, R. Crawfis, N. Shareef and R. Yagel, “Splatting errors and antialiasing,” IEEE Transactions on Visualization and Computer Graphics, Vol.4, No.2, 1998.
[19]曾啟豪,「電腦輔助髖部醫病解說與術前規畫系統發展」,國立中央大學機械工程學系碩士論文,2011.
指導教授 賴景義(Jiing-yih Lai) 審核日期 2011-7-21 推文 facebook plurk twitter funp google live udn HD myshare reddit netvibes friend youpush delicious baidu 網路書籤 Google bookmarks del.icio.us hemidemi myshare