• DocumentCode
    2494331
  • Title

    3D Medical CT Images Reconstruction Based on VTK and Visual C++

  • Author

    Hongjian Wang ; Xiaoming Pu

  • Author_Institution
    Chongqing Eng. Technol. Res. Center for Inf. Manage. in Dev., Chongqing Technol. & Bus. Univ., Chongqing, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, it is provided to reconstruct three-dimensional(3D) models of human body by using CT slices and digital images and precisely finding locations of pathological formations such as tumours. 3D image CT reconstruction is an attractive field generally in digital image processing techniques, especially in biomedical imaging. It is necessary to incise a 3D object to obtain detail structure information inside in the process of developing 3D medical visualization system. Visual C++ 6.0 with Visualization Toolkit (VTK) toolbox are used to reconstruct 3D images using the CT slice sequence in PAT format. Cuboids that can be controlled to zoom, move or circumrotate by mouse and used for clipping the object of 3D object. Experiment of tooth and foot shows that the technique can realize the real time.
  • Keywords
    C++ language; cancer; computerised tomography; data visualisation; diagnostic radiography; image reconstruction; image sequences; medical image processing; solid modelling; tumours; visual programming; 3D medical visualization system; CT slice sequence; PAT format; VTK; biomedical imaging; digital image processing techniques; medical CT image reconstruction; three-dimensional model; tumours; visual C++; visualization toolkit; Biological system modeling; Biomedical imaging; Computed tomography; Digital images; Humans; Image reconstruction; Medical control systems; Pathology; Tumors; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162140
  • Filename
    5162140