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Reseach Article

Automatic Characterization of Choroidal Neovascularization Lesions in Fluorescein Angiograms using Parametric Modeling

Published on October 2014 by G.anidha, U.sabura Banu, J.mohamed Thowfiq Raja
National Conference on Computational Intelligence for Engineering Quality Software
Foundation of Computer Science USA
CIQS - Number 1
October 2014
Authors: G.anidha, U.sabura Banu, J.mohamed Thowfiq Raja
2183e24b-0387-438d-b5f5-21c22f36fa63

G.anidha, U.sabura Banu, J.mohamed Thowfiq Raja . Automatic Characterization of Choroidal Neovascularization Lesions in Fluorescein Angiograms using Parametric Modeling. National Conference on Computational Intelligence for Engineering Quality Software. CIQS, 1 (October 2014), 25-28.

@article{
author = { G.anidha, U.sabura Banu, J.mohamed Thowfiq Raja },
title = { Automatic Characterization of Choroidal Neovascularization Lesions in Fluorescein Angiograms using Parametric Modeling },
journal = { National Conference on Computational Intelligence for Engineering Quality Software },
issue_date = { October 2014 },
volume = { CIQS },
number = { 1 },
month = { October },
year = { 2014 },
issn = 0975-8887,
pages = { 25-28 },
numpages = 4,
url = { /proceedings/ciqs/number1/18031-1706/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Computational Intelligence for Engineering Quality Software
%A G.anidha
%A U.sabura Banu
%A J.mohamed Thowfiq Raja
%T Automatic Characterization of Choroidal Neovascularization Lesions in Fluorescein Angiograms using Parametric Modeling
%J National Conference on Computational Intelligence for Engineering Quality Software
%@ 0975-8887
%V CIQS
%N 1
%P 25-28
%D 2014
%I International Journal of Computer Applications
Abstract

In many older adults, it is very common to observe Age related Macular degeneration which ultimately results in a medical condition called Choroidal Neo-Vascularization (CNV). It is characterized by having loss of linearity in the retinal image, fusiform thickening, and disruption of blood vessels in Retinal Pigment Epithelium (RPE) layer and thus results in vision loss. The images obtained from fluorescein angiography are further processed using digital image processing techniques and the results are obtained stating whether the person is suffering from the disease or not. Using parametric modeling of the intensity variation, the factors such as peak amount of the fluorescein that accumulates in the early stage, middle stage and late stage of the images are obtained. The end result which are the parameters obtained from the images, are fed to a Neural classifier. It classifies the quantized image parameters into occult CNV and classical CNV. This will tend to show whether the particular disease is dangerous and in the final stage or in the starting stage.

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Index Terms

Computer Science
Information Sciences

Keywords

Age Related Macular Degeneration (amd Fluorescein Angiography (fa) Choroidal Neo-vascularization (cnv) Image Registration Neural Classifier.