• DocumentCode
    2836761
  • Title

    Auto detection of brain ventricles using Hausdorff distance

  • Author

    Sim, K.S. ; Ong, M.K. ; Chong, S.S. ; Ng, J.T. ; Tso, C.P. ; Choo, S.L. ; Rozalina, A.H.

  • Author_Institution
    Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 2 2010
  • Firstpage
    199
  • Lastpage
    204
  • Abstract
    Brain plays an important role in human anatomy. The brain ventricular system can often be affected by different kinds of brain lesion, to the extent of creating an imbalance problem in the brain system. Hence, it is useful to develop a method to check the brain condition and to detect the existence of ventricles as well. A template of the ventricle is first created. Then ventricle detection in a slice of brain scan is done by using the Hausdorff distance. The presence of ventricles is smoothed by a median filter. Then, the ventricles are split into left and right halves through the computed centroid. Ratio is calculated to detect the brain abnormality. Result showed that 50% of the patients were detected accurately based on the ventricles.
  • Keywords
    brain; image matching; medical image processing; neurophysiology; Hausdorff distance; brain abnormality detection; brain lesions; brain scan slice; brain ventricle autodetection; brain ventricular system; Accuracy; Brain models; Pixel; Brain ventricles; Hausdorff distance; brain lesion; template matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7599-5
  • Type

    conf

  • DOI
    10.1109/IECBES.2010.5742228
  • Filename
    5742228