• DocumentCode
    3220290
  • Title

    3D Volume Representation of brain tumor using image processing

  • Author

    Siddiqi, Ayesha Amir ; Khawaja, Attaullah ; Tariq, Mashal

  • Author_Institution
    Dept. of Electron., N.E.D. Univ. of Eng. & Technol., Karachi, Pakistan
  • fYear
    2011
  • fDate
    16-18 Nov. 2011
  • Firstpage
    72
  • Lastpage
    75
  • Abstract
    This research opens a new window in the field of image processing by 3D Volume Representation of tumor through the use of Magnetic Resonant Imaging and an integrated software tool called 3D Slicer. The technique used for the piece of work is Label map segmentation and surface model making. It is used to segment the brain tumor from 2D images and then converting it into 3D for further model analysis and volume calculation. It is suggested after testing and observing various available methods and algorithms. The proposed method shows more precision among the others. Processing time is less. This will help the physicians in analyzing the brain tumors accurately and efficiently.
  • Keywords
    biomedical MRI; brain; image representation; image segmentation; medical image processing; stereo image processing; tumours; 3D Slicer; 3D volume representation; brain tumor analysis; image processing; integrated software tool; label map segmentation; magnetic resonant imaging; model analysis; surface model making; volume calculation; Brain modeling; Image segmentation; Load modeling; Solid modeling; Solids; Three dimensional displays; Tumors; image processing; segment; surface model making; volume representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-0243-3
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2011.6144062
  • Filename
    6144062