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Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss
INTRODUCTION: In many practical aspects of ophthalmology, it is necessary to assess the severity degree of glaucoma in cases where, for various reasons, it is impossible to perform a visual field test - static perimetry. These are cases in which the visual field test result is not reliable, e.g. adv...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928579/ https://www.ncbi.nlm.nih.gov/pubmed/24528923 http://dx.doi.org/10.1186/1475-925X-13-16 |
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author | Koprowski, Robert Rzendkowski, Marek Wróbel, Zygmunt |
author_facet | Koprowski, Robert Rzendkowski, Marek Wróbel, Zygmunt |
author_sort | Koprowski, Robert |
collection | PubMed |
description | INTRODUCTION: In many practical aspects of ophthalmology, it is necessary to assess the severity degree of glaucoma in cases where, for various reasons, it is impossible to perform a visual field test - static perimetry. These are cases in which the visual field test result is not reliable, e.g. advanced AMD (Age-related Macular Degeneration). In these cases, there is a need to determine the severity of glaucoma, mainly on the basis of optic nerve head (ONH) and retinal nerve fibre layer (RNFL) structure. OCT is one of the diagnostic methods capable of analysing changes in both, ONH and RNFL in glaucoma. MATERIAL AND METHOD: OCT images of the eye fundus of 55 patients (110 eyes) were obtained from the SOCT Copernicus (Optopol Tech. SA, Zawiercie, Poland). The authors proposed a new method for automatic determination of the RNFL (retinal nerve fibre layer) and other parameters using: mathematical morphology and profiled segmentation based on morphometric information of the eye fundus. A quantitative ratio of the quality of the optic disk and RNFL – BGA (biomorphological glaucoma advancement) was also proposed. The obtained results were compared with the results obtained from a static perimeter. RESULTS: Correlations between the known parameters of the optic disk as well as those suggested by the authors and the results obtained from static perimetry were calculated. The result of correlation with the static perimetry was 0.78 for the existing methods of image analysis and 0.86 for the proposed method. Practical usefulness of the proposed ratio BGA and the impact of the three most important features on the result were assessed. The following results of correlation for the three proposed classes were obtained: cup/disk diameter 0.84, disk diameter 0.97 and the RNFL 1.0. Thus, analysis of the supposed visual field result in the case of glaucoma is possible based only on OCT images of the eye fundus. CONCLUSIONS: The calculations and analyses performed with the proposed algorithm and BGA ratio confirm that it is possible to calculate supposed mean defect (MD) of the visual field test based on OCT images of the eye fundus. |
format | Online Article Text |
id | pubmed-3928579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39285792014-03-05 Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss Koprowski, Robert Rzendkowski, Marek Wróbel, Zygmunt Biomed Eng Online Research INTRODUCTION: In many practical aspects of ophthalmology, it is necessary to assess the severity degree of glaucoma in cases where, for various reasons, it is impossible to perform a visual field test - static perimetry. These are cases in which the visual field test result is not reliable, e.g. advanced AMD (Age-related Macular Degeneration). In these cases, there is a need to determine the severity of glaucoma, mainly on the basis of optic nerve head (ONH) and retinal nerve fibre layer (RNFL) structure. OCT is one of the diagnostic methods capable of analysing changes in both, ONH and RNFL in glaucoma. MATERIAL AND METHOD: OCT images of the eye fundus of 55 patients (110 eyes) were obtained from the SOCT Copernicus (Optopol Tech. SA, Zawiercie, Poland). The authors proposed a new method for automatic determination of the RNFL (retinal nerve fibre layer) and other parameters using: mathematical morphology and profiled segmentation based on morphometric information of the eye fundus. A quantitative ratio of the quality of the optic disk and RNFL – BGA (biomorphological glaucoma advancement) was also proposed. The obtained results were compared with the results obtained from a static perimeter. RESULTS: Correlations between the known parameters of the optic disk as well as those suggested by the authors and the results obtained from static perimetry were calculated. The result of correlation with the static perimetry was 0.78 for the existing methods of image analysis and 0.86 for the proposed method. Practical usefulness of the proposed ratio BGA and the impact of the three most important features on the result were assessed. The following results of correlation for the three proposed classes were obtained: cup/disk diameter 0.84, disk diameter 0.97 and the RNFL 1.0. Thus, analysis of the supposed visual field result in the case of glaucoma is possible based only on OCT images of the eye fundus. CONCLUSIONS: The calculations and analyses performed with the proposed algorithm and BGA ratio confirm that it is possible to calculate supposed mean defect (MD) of the visual field test based on OCT images of the eye fundus. BioMed Central 2014-02-14 /pmc/articles/PMC3928579/ /pubmed/24528923 http://dx.doi.org/10.1186/1475-925X-13-16 Text en Copyright © 2014 Koprowski et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Koprowski, Robert Rzendkowski, Marek Wróbel, Zygmunt Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss |
title | Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss |
title_full | Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss |
title_fullStr | Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss |
title_full_unstemmed | Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss |
title_short | Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss |
title_sort | automatic method of analysis of oct images in assessing the severity degree of glaucoma and the visual field loss |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928579/ https://www.ncbi.nlm.nih.gov/pubmed/24528923 http://dx.doi.org/10.1186/1475-925X-13-16 |
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