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Automatic method of analysis and measurement of additional parameters of corneal deformation in the Corvis tonometer
INTRODUCTION: The method for measuring intraocular pressure using the Corvis tonometer provides a sequence of images of corneal deformation. Deformations of the cornea are recorded using the ultra-high-speed Scheimpflug camera. This paper presents a new and reproducible method of analysis of corneal...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258810/ https://www.ncbi.nlm.nih.gov/pubmed/25406740 http://dx.doi.org/10.1186/1475-925X-13-150 |
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author | Koprowski, Robert |
author_facet | Koprowski, Robert |
author_sort | Koprowski, Robert |
collection | PubMed |
description | INTRODUCTION: The method for measuring intraocular pressure using the Corvis tonometer provides a sequence of images of corneal deformation. Deformations of the cornea are recorded using the ultra-high-speed Scheimpflug camera. This paper presents a new and reproducible method of analysis of corneal deformation images that allows for automatic measurements of new features, namely new three parameters unavailable in the original software. MATERIAL AND METHOD: The images subjected to processing had a resolution of 200 × 576 × 140 pixels. They were acquired from the Corvis tonometer and simulation. In total 14000 2D images were analysed. The image analysis method proposed by the author automatically detects the edge of the cornea and sclera fragments. For this purpose, new methods of image analysis and processing proposed by the author as well as those well-known, such as Canny filter, binarization, median filtering etc., have been used. The presented algorithms were implemented in Matlab (version 7.11.0.584 - R2010b) with Image Processing toolbox (version 7.1 -R2010b) using both known algorithms for image analysis and processing and those proposed by the author. RESULTS: Owing to the proposed algorithm it is possible to determine three parameters: (1) the degree of the corneal reaction relative to the static position; (2) the corneal length changes; (3) the ratio of amplitude changes to the corneal deformation length. The corneal reaction is smaller by about 30.40% compared to its static position. The change in the corneal length during deformation is very small, approximately 1% of its original length. Parameter (3) enables to determine the applanation points with a correlation of 92% compared to the conventional method for calculating corneal flattening areas. The proposed algorithm provides reproducible results fully automatically within a few seconds/per patient using Core i7 processor. CONCLUSIONS: Using the proposed algorithm, it is possible to measure new, additional parameters of corneal deformation, which are not available in the original software. The presented analysis method provides three new parameters of the corneal reaction. Detailed clinical studies based on this method will be presented in subsequent papers. |
format | Online Article Text |
id | pubmed-4258810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42588102014-12-09 Automatic method of analysis and measurement of additional parameters of corneal deformation in the Corvis tonometer Koprowski, Robert Biomed Eng Online Research INTRODUCTION: The method for measuring intraocular pressure using the Corvis tonometer provides a sequence of images of corneal deformation. Deformations of the cornea are recorded using the ultra-high-speed Scheimpflug camera. This paper presents a new and reproducible method of analysis of corneal deformation images that allows for automatic measurements of new features, namely new three parameters unavailable in the original software. MATERIAL AND METHOD: The images subjected to processing had a resolution of 200 × 576 × 140 pixels. They were acquired from the Corvis tonometer and simulation. In total 14000 2D images were analysed. The image analysis method proposed by the author automatically detects the edge of the cornea and sclera fragments. For this purpose, new methods of image analysis and processing proposed by the author as well as those well-known, such as Canny filter, binarization, median filtering etc., have been used. The presented algorithms were implemented in Matlab (version 7.11.0.584 - R2010b) with Image Processing toolbox (version 7.1 -R2010b) using both known algorithms for image analysis and processing and those proposed by the author. RESULTS: Owing to the proposed algorithm it is possible to determine three parameters: (1) the degree of the corneal reaction relative to the static position; (2) the corneal length changes; (3) the ratio of amplitude changes to the corneal deformation length. The corneal reaction is smaller by about 30.40% compared to its static position. The change in the corneal length during deformation is very small, approximately 1% of its original length. Parameter (3) enables to determine the applanation points with a correlation of 92% compared to the conventional method for calculating corneal flattening areas. The proposed algorithm provides reproducible results fully automatically within a few seconds/per patient using Core i7 processor. CONCLUSIONS: Using the proposed algorithm, it is possible to measure new, additional parameters of corneal deformation, which are not available in the original software. The presented analysis method provides three new parameters of the corneal reaction. Detailed clinical studies based on this method will be presented in subsequent papers. BioMed Central 2014-11-19 /pmc/articles/PMC4258810/ /pubmed/25406740 http://dx.doi.org/10.1186/1475-925X-13-150 Text en © Koprowski; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Automatic method of analysis and measurement of additional parameters of corneal deformation in the Corvis tonometer |
title | Automatic method of analysis and measurement of additional parameters of corneal deformation in the Corvis tonometer |
title_full | Automatic method of analysis and measurement of additional parameters of corneal deformation in the Corvis tonometer |
title_fullStr | Automatic method of analysis and measurement of additional parameters of corneal deformation in the Corvis tonometer |
title_full_unstemmed | Automatic method of analysis and measurement of additional parameters of corneal deformation in the Corvis tonometer |
title_short | Automatic method of analysis and measurement of additional parameters of corneal deformation in the Corvis tonometer |
title_sort | automatic method of analysis and measurement of additional parameters of corneal deformation in the corvis tonometer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258810/ https://www.ncbi.nlm.nih.gov/pubmed/25406740 http://dx.doi.org/10.1186/1475-925X-13-150 |
work_keys_str_mv | AT koprowskirobert automaticmethodofanalysisandmeasurementofadditionalparametersofcornealdeformationinthecorvistonometer |