• DocumentCode
    2940710
  • Title

    CPCO: Contourlet Based PCO Quantification System

  • Author

    Pourshahabi, Muhammad Reza ; Pourreza, Hamid Reza ; Findl, Oliver ; Daneshvar, Ramin ; Buehl, Wolf

  • Author_Institution
    Vision Res. Lab., Ferdowsi Univ. of Mashhad, Mashhad, Iran
  • fYear
    2009
  • fDate
    4-7 Dec. 2009
  • Firstpage
    409
  • Lastpage
    413
  • Abstract
    Nowadays, Posterior Capsule Opacification (PCO)is a common postoperative complication of cataract surgery. The rate of incidence and the intensity of PCO are affected by factors such as type and shape of implanted intraocular lens(IOL), cataract surgical techniques and etc. Clinical quantification of PCO is so subjective that evaluating the effects of these factors on PCO are varying among studies. The need for a reliable and efficient automated PCO quantification system is highly desired and many researchers tried to design such a system till now. In this paper a new fully automated Contourlet based PCO quantification system (CPCO) is presented. Comparing this system with other subjective and objective systems shows the reliability and correctness of CPCO system.
  • Keywords
    medical image processing; surgery; CPCO; cataract surgery; contourlet based PCO quantification system; intraocular lens; posterior capsule opacification; Shape; Surgery; Contourlet transform; Posterior Capsule Opacification(PCO); quantification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of
  • Conference_Location
    Malacca
  • Print_ISBN
    978-1-4244-5330-6
  • Electronic_ISBN
    978-0-7695-3879-2
  • Type

    conf

  • DOI
    10.1109/SoCPaR.2009.86
  • Filename
    5370983