• DocumentCode
    3057488
  • Title

    3D Representation of Human Skull Bearing the Tumor Using Image Processing

  • Author

    Siddiqi, Ayesha Amir ; Khawaja, Ahsan ; Zafar, Mashal ; Hussain, Munawar

  • fYear
    2012
  • fDate
    24-26 July 2012
  • Firstpage
    257
  • Lastpage
    260
  • Abstract
    This research gives us the possibility of 3D visualization of the patient´s skull who is suffering from brain tumor; rather than the traditional 2D data-set study which is time consuming and requires much expertise. The 3D analysis is carried out by extracting the volume of the skull from the 2D MRI images, which is possible by the use of MRI data set and an integrated software tool called 3D Slicer. Original data set of three patients suffering from solid cumcystic brain tumor is obtained from the radiologist. The technique used is segmentation and model making. By using this technique the physicians and surgeons will be able to make an easy and quick approach to the tumors; which includes the brain as well as the skull based tumors. It is suggested after testing and observing various available methods and algorithms. This will also help in radiotherapy causing lesser risk to brain tissues.
  • Keywords
    brain; data visualisation; image representation; medical image processing; neurophysiology; tumours; 2D MRI images; 3D Slicer; 3D analysis; 3D representation; MRI data set; brain tissues; human skull; image processing; integrated software tool; model making; patient skull 3D visualization; physicians; radiologist; radiotherapy; segmentation; skull volume extraction; solid cumcystic brain tumor; surgeons; Image segmentation; Load modeling; Magnetic resonance imaging; Skull; Solid modeling; Surgery; Tumors; 3D representation; model making; segmentation; skull; tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-1-4673-2640-7
  • Type

    conf

  • DOI
    10.1109/CICSyN.2012.55
  • Filename
    6274351