Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity

Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. At present, the classification of DR is based on the International Clinical Diabetic Retinopathy Disease Severity. In this paper, FAZ enlargement with DR progression is investigated to ena...

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Main Authors: Ahmad Fadzil, M. Hani, Nugroho , Hanung Adi, Nugroho, Hermawan, Ngah , Nor Fariza, George , Tara M, Izhar, Lila I
Format: Article
Published: IEEE 2010
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Online Access:http://eprints.utp.edu.my/3180/1/PID1357883.pdf
http://eprints.utp.edu.my/3180/
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spelling my.utp.eprints.31802017-01-19T08:23:43Z Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity Ahmad Fadzil, M. Hani Nugroho , Hanung Adi Nugroho, Hermawan Ngah , Nor Fariza George , Tara M Izhar, Lila I RE Ophthalmology QA75 Electronic computers. Computer science Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. At present, the classification of DR is based on the International Clinical Diabetic Retinopathy Disease Severity. In this paper, FAZ enlargement with DR progression is investigated to enable a new and an effective grading protocol DR severity in an observational clinical study. The performance of a computerised DR monitoring and grading system that digitally analyses colour fundus image to measure the enlargement of FAZ and grade DR is evaluated. The range of FAZ area is optimised to accurately determine DR severity stage and progression stages using a Gaussian Bayes classifier. The system achieves high accuracies of above 96%, sensitivities higher than 88% and specificities higher than 96%, in grading of DR severity. In particular, high sensitivity (100%), specificity (>98%) and accuracy (99%) values are obtained for No DR (normal) and Severe NPDR/PDR stages. The system performance indicates that the DR system is suitable for early detection of DR and for effective treatment of severe cases. IEEE 2010-11-11 Article PeerReviewed application/pdf http://eprints.utp.edu.my/3180/1/PID1357883.pdf Ahmad Fadzil, M. Hani and Nugroho , Hanung Adi and Nugroho, Hermawan and Ngah , Nor Fariza and George , Tara M and Izhar, Lila I (2010) Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity. Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE . 5632-5635 . ISSN 1557-170X http://eprints.utp.edu.my/3180/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic RE Ophthalmology
QA75 Electronic computers. Computer science
spellingShingle RE Ophthalmology
QA75 Electronic computers. Computer science
Ahmad Fadzil, M. Hani
Nugroho , Hanung Adi
Nugroho, Hermawan
Ngah , Nor Fariza
George , Tara M
Izhar, Lila I
Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
description Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. At present, the classification of DR is based on the International Clinical Diabetic Retinopathy Disease Severity. In this paper, FAZ enlargement with DR progression is investigated to enable a new and an effective grading protocol DR severity in an observational clinical study. The performance of a computerised DR monitoring and grading system that digitally analyses colour fundus image to measure the enlargement of FAZ and grade DR is evaluated. The range of FAZ area is optimised to accurately determine DR severity stage and progression stages using a Gaussian Bayes classifier. The system achieves high accuracies of above 96%, sensitivities higher than 88% and specificities higher than 96%, in grading of DR severity. In particular, high sensitivity (100%), specificity (>98%) and accuracy (99%) values are obtained for No DR (normal) and Severe NPDR/PDR stages. The system performance indicates that the DR system is suitable for early detection of DR and for effective treatment of severe cases.
format Article
author Ahmad Fadzil, M. Hani
Nugroho , Hanung Adi
Nugroho, Hermawan
Ngah , Nor Fariza
George , Tara M
Izhar, Lila I
author_facet Ahmad Fadzil, M. Hani
Nugroho , Hanung Adi
Nugroho, Hermawan
Ngah , Nor Fariza
George , Tara M
Izhar, Lila I
author_sort Ahmad Fadzil, M. Hani
title Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
title_short Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
title_full Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
title_fullStr Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
title_full_unstemmed Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
title_sort analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
publisher IEEE
publishDate 2010
url http://eprints.utp.edu.my/3180/1/PID1357883.pdf
http://eprints.utp.edu.my/3180/
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score 13.211869