The Development Of Automatic Analysis System For Icg Retinal Image And The Effective Classfication Of Indocyanine Green Angiography By It.
- Author:
Moon Cheol LIM
1
;
Young Hoon KIM
;
Woo Saeng KIM
;
Jin Sung RYU
Author Information
1. Kwangwoon University, Catholic University, Korea. mclim@cs.kwangwoon.ac.kr
- Publication Type:Original Article
- Keywords:
Age-related macular degeneration;
over-fluorescein area;
Automatic analysis system of IndoCyanine Green Angiography
- MeSH:
Angiography*;
Choroidal Neovascularization;
Convalescence;
Humans;
Indocyanine Green*;
Linear Energy Transfer;
Macular Degeneration;
Ophthalmology;
Retinaldehyde*
- From:Journal of Korean Society of Medical Informatics
2001;7(4):21-31
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
The local laser solidification treatment among the therapys of age-related macular degeneration, which is immensely important in the field of ophthalmology, has been admited to be of effect. The accurate scope and the times of the cure not only play a important role of convalescence but also have a great influence on eyesight in the laser remedy. The retinal image photographed by a recent technology of ICG(Indocyanine Green) give us easy observation of avascular zone, and let us understand and predict objectively the degree of age-related macular degeneration. In this paper, we introduce the ICGI Analyzer and explain ICG image analysis methods that masure in quantities regions of hyperfluorescein area by choroidal neovascularization and detect transformations of it by image processing techniques. Also, we descript a method that ophthalmologist classify ICGA into several types on the basis of position of CNV(Choroidal NeoVascularization) using this system. We present results of applying ICG retinal image of patients to ICG Analyzer and typical frequency of age-related macular degeneration investigated by experts for testing the objectivity and accuracy of proposed methods.
