• DocumentCode
    3511908
  • Title

    Reverse Engineering Reconstruction Method of Knee Joint Based on Moving Least Squares

  • Author

    Jin, Xiangyang

  • Author_Institution
    Harbin Univ. of Commerce, Harbin
  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    408
  • Lastpage
    411
  • Abstract
    This paper researches the application of CT images processing. On the basic introduction of CT image theory and features of CT images, the methods of image processing applied to the CT image have been studied. Utilizing image processing technique, CT images of knee joint will be processed to generate knee joint features contours through contours recognition and digital simulation in CT images of knee joint. Then in terms of Moving Least-Squares fitting theory, knee joint surface will be built and closed topologically through knee joint features contours by the use of Imageware RE software as to rebuilt 3D knee joint and get geometric parameter exactly. During rebuilding of knee joint model, this paper has solved some problems: orientation of contours, spline approximate, and fractal of curved surface as to guarantee accuracy of model.
  • Keywords
    computer graphics; computerised tomography; digital simulation; medical image processing; reverse engineering; 3D knee joint; CT images processing; Imageware RE software; contours recognition; digital simulation; moving least-squares fitting theory; reverse engineering reconstruction; Computed tomography; Digital simulation; Image processing; Image recognition; Knee; Least squares methods; Reconstruction algorithms; Reverse engineering; Spline; Surface fitting; CT images; Moving Least-Squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.102
  • Filename
    4683251