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
Link To Document :
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