• DocumentCode
    1793709
  • Title

    Development of a multi-component CAD model of human elbow structure

  • Author

    Mehta, Sharad ; Vishnoi, Akshay ; Gupta, Arpan

  • Author_Institution
    Dept. of Mech. Eng., Graphic Era Univ., Dehradun, India
  • fYear
    2014
  • fDate
    7-8 Nov. 2014
  • Firstpage
    146
  • Lastpage
    151
  • Abstract
    The research work presented in this paper explores the area of bio-medical imaging. In this work, a multi-component CAD (Computer Aided Design) model of human elbow structure has been developed. Biomedical images such as computerized tomography scan (CT scan) and magnetic resonance images (MRI) are taken as input data, which are further manipulated and segmented to result in an accurate CAD model of human elbow. By varying the segmentation methods and parameters, multi-component model of whole elbow structure is obtained as an assembly of bone, soft tissue and skin. The segmentation is performed using an open source software ITK snap. The segmented 3D CAD model of human elbow structure can be used for engineering analysis, such as stress analysis, vibration analysis, and force analysis. Artificial body parts, handicap aids, and sport safety equipments can be designed by implementing rapid prototyping on the multi-component model developed.
  • Keywords
    CAD; image segmentation; medical image processing; public domain software; safety; software prototyping; ITK snap; artificial body parts; biomedical imaging; computer aided design; handicap aids; human elbow structure; image segmentation; multicomponent CAD model; open source software; rapid prototyping; sport safety equipments; Biological system modeling; Design automation; Elbow; Image edge detection; Image segmentation; Solid modeling; Three-dimensional displays; Biomechanics; CT scan; MRI images; biomedical images; multi-component CAD model; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
  • Conference_Location
    Greater Noida
  • Print_ISBN
    978-1-4799-5096-6
  • Type

    conf

  • DOI
    10.1109/MedCom.2014.7005993
  • Filename
    7005993