Cargando…

Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy

Diabetic retinopathy is a major cause of blindness. Proliferative diabetic retinopathy is a result of severe vascular complication and is visible as neovascularization of the retina. Automatic detection of such new vessels would be useful for the severity grading of diabetic retinopathy, and it is a...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Jack, Zee, Benny Chung Ying, Li, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3864789/
https://www.ncbi.nlm.nih.gov/pubmed/24358105
http://dx.doi.org/10.1371/journal.pone.0075699
_version_ 1782295954193383424
author Lee, Jack
Zee, Benny Chung Ying
Li, Qing
author_facet Lee, Jack
Zee, Benny Chung Ying
Li, Qing
author_sort Lee, Jack
collection PubMed
description Diabetic retinopathy is a major cause of blindness. Proliferative diabetic retinopathy is a result of severe vascular complication and is visible as neovascularization of the retina. Automatic detection of such new vessels would be useful for the severity grading of diabetic retinopathy, and it is an important part of screening process to identify those who may require immediate treatment for their diabetic retinopathy. We proposed a novel new vessels detection method including statistical texture analysis (STA), high order spectrum analysis (HOS), fractal analysis (FA), and most importantly we have shown that by incorporating their associated interactions the accuracy of new vessels detection can be greatly improved. To assess its performance, the sensitivity, specificity and accuracy (AUC) are obtained. They are 96.3%, 99.1% and 98.5% (99.3%), respectively. It is found that the proposed method can improve the accuracy of new vessels detection significantly over previous methods. The algorithm can be automated and is valuable to detect relatively severe cases of diabetic retinopathy among diabetes patients.
format Online
Article
Text
id pubmed-3864789
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-38647892013-12-19 Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy Lee, Jack Zee, Benny Chung Ying Li, Qing PLoS One Research Article Diabetic retinopathy is a major cause of blindness. Proliferative diabetic retinopathy is a result of severe vascular complication and is visible as neovascularization of the retina. Automatic detection of such new vessels would be useful for the severity grading of diabetic retinopathy, and it is an important part of screening process to identify those who may require immediate treatment for their diabetic retinopathy. We proposed a novel new vessels detection method including statistical texture analysis (STA), high order spectrum analysis (HOS), fractal analysis (FA), and most importantly we have shown that by incorporating their associated interactions the accuracy of new vessels detection can be greatly improved. To assess its performance, the sensitivity, specificity and accuracy (AUC) are obtained. They are 96.3%, 99.1% and 98.5% (99.3%), respectively. It is found that the proposed method can improve the accuracy of new vessels detection significantly over previous methods. The algorithm can be automated and is valuable to detect relatively severe cases of diabetic retinopathy among diabetes patients. Public Library of Science 2013-12-16 /pmc/articles/PMC3864789/ /pubmed/24358105 http://dx.doi.org/10.1371/journal.pone.0075699 Text en © 2013 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lee, Jack
Zee, Benny Chung Ying
Li, Qing
Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy
title Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy
title_full Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy
title_fullStr Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy
title_full_unstemmed Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy
title_short Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy
title_sort detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3864789/
https://www.ncbi.nlm.nih.gov/pubmed/24358105
http://dx.doi.org/10.1371/journal.pone.0075699
work_keys_str_mv AT leejack detectionofneovascularizationbasedonfractalandtextureanalysiswithinteractioneffectsindiabeticretinopathy
AT zeebennychungying detectionofneovascularizationbasedonfractalandtextureanalysiswithinteractioneffectsindiabeticretinopathy
AT liqing detectionofneovascularizationbasedonfractalandtextureanalysiswithinteractioneffectsindiabeticretinopathy