跳到主要內容

簡易檢索 / 詳目顯示

回結果列表
研究生： 莊博寓
Po-yu Chuang
論文名稱： 數位X光片於預測術後人工膝關節空間關係之研究
Fluoroscopy Based Artificial Knee Replacement Post-operation and Wearing Evaluation
指導教授： 莊漢東
Han-tung Chuang
口試委員:
學位類別： 碩士
Master
系所名稱： 工學院 - 機械工程學系
Department of Mechanical Engineering
畢業學年度： 95
語文別： 中文
論文頁數： 77
中文關鍵詞： 人工膝關節 、數位X光片 、術後預測 、投影特徵
外文關鍵詞： post-operation prediction, fluoroscopy, total knee replacement
相關次數： 點閱：9  下載：0 
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報

    • 人工關節置換手術，至今已發展數十年的時間，在產學界也對此投入了相當多的人力及物力，無論是手術前人工關節之設計、製造或手術中的影像導引技術，都漸漸發展成型，但手術後於人體內之情形為何，卻較少人針對此探討。本研究則利用現今於臨床上已普遍使用的數位X光片，並配合電腦影像處理以及幾何投影特徵之特性，來發展一程式平台，以預測置換率最高之人工膝關節術後的空間對位關係。
    本研究初步先拍攝兩張夾角固定之數位X光片，並利用影像處理之方式，擷取出影像之邊界，並將其向量化，進而得到二維影像中可以代表三維空間的特徵資訊，有點對點間的距離、邊界斜率等，最後利用SolidWorks的環境，將既有的人工膝關節模型進行空間的定位，最後產生其股骨與脛骨之對位情形，便可由此得到較精確的定位資訊，使醫護人員除了憑藉經驗來判斷此關節置入體內後之磨耗或對位之外，還有較明確的資訊可供參考，除此之外，也可供人工關節設計者作為未來人工膝關節設計之評估機制。

    The artificial joint arthroplasty, has already developed the time in decades so far, the academics and the industries have invested quite a lot of manpower and material resources, no matter the design or the manufacture of artificial joint in pre-operation, and planning and navigation system for surgery are developed gradually. But in post-operation, there are a few number of studies have been research it. The purpose of this study is using the digital fluoroscopy with computer image processing methods and characteristics of geometrical projection to develop a program which can predict the relationship of space of the total knee arthroplasty in post-operation.
    The first step of this study is shooting two digital fluoroscopy with regular angle and using the image processing methods to detect the edge of image and then vectorizing it. After that we can get the two-dimensional image which can represent the characteristic information of three-dimensional. These information including the vertex,the distance of two points, and the slope of the edge. At last, we position the CAD model of artificial knee replacement with the above information by using SolidWorks, and we will know the relationship of space between the femur part and the tibia part. Base on the process before, we can obtain more precisely information of position of the knee replacement in human’s body. This information can provide doctors to judge the wearing and the position after this joint puts into the body. In addition, this program can also be a new assessment mechanism for the joint replacement designer in the future.

    ABSTRACT……………………………………………………………I 中文摘要……………………………………………………………III 致謝…………………………………………………………………IV 目錄…………………………………………………………………V 圖表索引……………………………………………………………VIII 第一章 緒論………………………………………………………1 1.1前言…………………………………………………………1 1.2 研究目的與方法……………………………………………3 1.3 文獻回顧……………………………………………………7 1.4 論文結構……………………………………………………11 第二章 數位X光片影像處理………………………………………12 2.1 前言…………………………………………………………12 2.2影像邊界搜尋…………………………………………………14 2.2.1平滑化濾波器……………………………………………14 2.2.2 SOBEL微分濾波器與影像二值化………………………17 2.2.3邊緣細線化………………………………………………20 2.3 影像向量化與頂點搜尋……………………………………23 2.3.1 向量化編碼……………………………………………23 2.3.2 頂點之確立……………………………………………25 2.4二維投影資訊與三維模型之點重建…………………………29 第三章 模型對齊定位方法…………………………………………32 3.1 前言…………………………………………………………32 3.2 專家系統……………………………………………………32 3.3 投影特徵之分析……………………………………………35 3.3.1直接影像投影特徵之分析………………………………35 3.3.2幾何影像投影特徵之分析………………………………42 3.4 特徵比對表…………………………………………………45 3.5 特徵角度之對齊推論策略…………………………………48 3.5.1 特徵對齊推論策略……………………………………48 3.5.2 JACOBIAN矩陣於微調之應用…………………………50 第四章 操作介面與實驗結果………………………………………53 4.1 前言…………………………………………………………53 4.2 人機界面簡介………………………………………………53 4.3 多面體之影像系統驗證……………………………………57 4.4實際人工膝關節數位X光片比對……………………………63 第五章 結論與未來展望……………………………………………72 5.1 結論…………………………………………………………72 5.2 未來展望……………………………………………………73 參考文獻……………………………………………………………74

    [1]Iannino, A. and Shapiro, S.D., “An Iterative Generalization of Sobel Edge Detection Operator”, Proc. IEEE Computer Soci. Conf. On pattern Recognition and Image Processing, pp.130-137, 1979.
    [2]Marr, D. and Hildreth, E., “Theory of Edge Detection”, Proceeding of the Royal Society of London, B207, pp.187-217, 1980.
    [3]Zhung, T.Y. and Suen, C.Y. “A fast parallel algorithm for thinning digital pattern,” Communucations of the ACM, Vol. 27, No.3, pp.236-239, 1984.
    [4]Lian, G.Z., “Digital Image Processing”, pp.214-215, 1995
    [5]Saghri, J.A. and Freeman, H. “Analysis of precision of Generalized Chain Codes for Representation of Planar Curves”, IEEE trans. PAMI, 3, NO.5, pp.533-539, 1981.
    [6]簡新府, “以傅利葉不變性為基礎之醫療影像校準”, 碩士論文,國立交通大學資訊科學系, 2002.
    [7]Jezching, T. and Anil, K.J., “Registering landsat image by point matching”, IEEE Transactions on Geoscience and Remote Sensing, Vol.27, No.5, pp.642-651, 1989.
    [8]Giuseppe, C., Stefano, D. and Guido, V., “Matching of medical images by self-organizing neural networks”, Pattern Recognition Letters, Vol.25, pp.341-352, 2004.
    [9]Besl, P.J. and Mckay, N.D., “A Method for Registration of 3-D Shapes”, IEEE Trans. Pattern Anal. Mach. Intell., Vol.44, pp.239-256, 1992.
    [10]蔡明倫, “三度空間腦部結構校準”, 碩士論文, 國立交通大學資訊科學系, 2002.
    [11]Golub, G.H. and Van Loan, C.F., “Matrix Computation”, Baltimore, MD: Johns Hopkins Univ. Press, 1983.
    [12]Schonemann, P.H., “A generalized solution to the Orthogonal procrusted problem”, Psychometrika, Vol.31, No.1, 1996.
    [13]Vranic, D.V., Saupe, D. and Richter, J., “Tools for 3D-objects retrieval: Karhunen-Loeve Transform and Spherical harmonics”, Proceedings of the IEEE Workshop Multimedia Signal Processing, Cannes, France, 2001.
    [14]蔣柏笙, “平面影像之對其與相似度評估”, 碩士論文, 國立中央大學機械工程學系, 2005
    [15]Lorensen, W.E. and Cline, H.E., “Marching Cubes: A High Resolution 3D Surface Construction Algorithm”, Computer Graphics, Vol.21, No.4, pp.163-169, July 1987.
    [16]Radon, J., “Uber die Bestimmung von Funktionen durch ihre Integralwerte langs gewisser Mannifaltigkeiten”, Berichte Schsische Akademie der Wissenschaften, 69: pp.262-267, 1917.
    [17]Fahrig, R., Moreau, M. and Holdsworth,D. W., “Three-dimensional computed tomographic reconstruction using a C-arm mounted XRII: correction of image intensifier distortion”, Medical Physica, Vol.24, No.7, pp.1097-1106, 1997.
    [18]David, T.J., “Tomographic Image Reconstruction”,
    http://marr.bsee.swin.edu.au/~dtl/het408/backproj/backproj.html
    [19]Sahiner, B. and Yagle, A.E., “A Fast Algorithm for Backprojection with Linear Interpolation”, IEEE Transactions on Image Processing, Vol.2, Issue:4, pp.547-550, Oct.1993.
    [20]Kak, A.C. and Slaney, M., “Principles of Computerized Tomographic Imaging”, IEEE Press, 1987.
    [21]Pan, C., “Image Processing Using SPECT Analysis by The Five Fearless Thinkers”,
    http://www.owlnet.rice.edu/~elec431/projects96/DSP/index.html
    [22]Salvatore, L. and Pier Luigi, B., “Fast computation of 3D Radon Transform via a Direct Fourier Method”, Bioinformatics, Vol.14, No.2, pp.212-216, 1998.
    [23]Turban, E. and Arson, J., “Decision support systems and intelligent systems”, 6th Ed. , Prentice Hall, 2003.
    [24]Seagle, J.P. and Duchessi, P., “Acquring expert rules with the aid of decision tables”, European Journal of Operational Research, vol.84, pp.150-162, 1995.
    [25]Gonzalez, R.C. and Wintz, P., “Digital Image Processing” Addison-Wesley, Publishing Company, 1989.
    [26]Gwent Coll of Hinger Educ., Newport, O.K., “IEEE Proceedings Vision, Image and Signal Processing”, Vol.143, Iss:3, pp.171-176, 1996
    [27]Yang, U.Z., “Fundamental of Digital Image Signal Processing ”, pp.153-155, 1995.
    [28]Ralph, A. and Micco, M., “Expert Systems for Reference and Information Retrieval”, London: Meckler”, pp.23-25, 1990.
    [29]Craig, J.J., “Introduction to Robotics Mechanics and Control”, 3rd ,
    pp.135-159, 2005.
    [30]Su, M.C., Wong, C.C., Chou, C.H. and Chen, C.J., “Human Face Detection Using Symmetry in A Complex Background”, 1998.
    [31]Sharma, L., Song, J., Felson, D.T., Shamiyeh,E. and Dunlop,D.D., “The Role of Knee Alignment in Disease Progression and Functional Decline in Knee Osteoarthritis”, JAMA. 286(2):188-195, 2001.
    [32]吳柏賢, “基於模型表面距離特徵之三為模型比對研究”, 碩士論文, 國立中央大學機械工程學系, 2006.
    [33]鄭錦峰, “C-arm 影像三維重建”, 碩士論文, 國立中央大學機械工程學系, 2004.
    [34]呂信億, “應用X射線電腦斷層掃描於BGA檢測之最佳化”, 碩士論文, 國立清華大學動力機械工程學系, 2006.

    QR CODE
    :::