Agreement study between color and IR retinal images based on retinal vasculature morphological parameters
Abstract Background Color fundus photography have been extensively used to explore the link between retinal morphology changes associated with various disease i.e. Diabetic Retinopathy, Glaucoma. The development of multimodal imaging system that integrates Infrared Scanning Laser Ophthalmoscope (IR-...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-01-01
|
Series: | BMC Ophthalmology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12886-018-0997-6 |
id |
doaj-075af95bf54b4f52bb3c4af24fd7a5ac |
---|---|
record_format |
Article |
spelling |
doaj-075af95bf54b4f52bb3c4af24fd7a5ac2020-11-25T02:21:29ZengBMCBMC Ophthalmology1471-24152019-01-011911910.1186/s12886-018-0997-6Agreement study between color and IR retinal images based on retinal vasculature morphological parametersAqsa Ajaz0Behzad Aliahmad1Himeesh Kumar2Marc Sarossy3Dinesh K. Kumar4School of Engineering, RMIT UniversitySchool of Engineering, RMIT UniversityDepartment of Ophthalmology, Alfred HealthcareSchool of Engineering, RMIT UniversitySchool of Engineering, RMIT UniversityAbstract Background Color fundus photography have been extensively used to explore the link between retinal morphology changes associated with various disease i.e. Diabetic Retinopathy, Glaucoma. The development of multimodal imaging system that integrates Infrared Scanning Laser Ophthalmoscope (IR-SLO) and Optical Coherence Tomography (OCT) could help in studying these diseases at an early stage. The aim of this study was to test the agreement between the retinal vasculature parameters from the Infrared images obtained from optical coherence tomography and color fundus imaging. Methods The IR and Color retinal images were obtained from 16 volunteer participants and seven retinal vessel parameters, i.e. Fractal Dimension (FD), Average Angle (ABA), Total Angle Count (TAC), Tortuosity (ST), Vessel/Background ratio (VBR), Central Retinal Arteriolar Equivalent (CRAE) and Central Retinal Venular Equivalent (CRVE) were extracted from these retinal images using Retinal Image Vasculature Assessment software (RIVAS) and Integrative Vessel Analysis (IVAN). Results The Bland Altman plot was used to investigate the agreement between the two modalities. The paired sample t-test was used to assess the presence of fixed bias and the slope of Least Square Regression (LSR) line for the presence of proportional bias. The paired sample t-test showed that there was no statistically significant difference between Color and IR based on retinal vessel features (all p values > 0.05). LSR also revealed no statistically significant difference in the retinal vessel features between Color and IR. Conclusion This study has revealed that there is a fair agreement between Color and IR images based on retinal vessel features. This research has shown that it is possible to use IR images of the retina to measure the retinal vasculature parameters which has the advantage of being flash-less, can be used even if there is opacity due to cataract, and can be performed along with OCT on the same device.http://link.springer.com/article/10.1186/s12886-018-0997-6Infrared scanning laser ophthalmoscopeOptical coherence tomographyRetinal image vasculature assessment softwareIntegrative vessel analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aqsa Ajaz Behzad Aliahmad Himeesh Kumar Marc Sarossy Dinesh K. Kumar |
spellingShingle |
Aqsa Ajaz Behzad Aliahmad Himeesh Kumar Marc Sarossy Dinesh K. Kumar Agreement study between color and IR retinal images based on retinal vasculature morphological parameters BMC Ophthalmology Infrared scanning laser ophthalmoscope Optical coherence tomography Retinal image vasculature assessment software Integrative vessel analysis |
author_facet |
Aqsa Ajaz Behzad Aliahmad Himeesh Kumar Marc Sarossy Dinesh K. Kumar |
author_sort |
Aqsa Ajaz |
title |
Agreement study between color and IR retinal images based on retinal vasculature morphological parameters |
title_short |
Agreement study between color and IR retinal images based on retinal vasculature morphological parameters |
title_full |
Agreement study between color and IR retinal images based on retinal vasculature morphological parameters |
title_fullStr |
Agreement study between color and IR retinal images based on retinal vasculature morphological parameters |
title_full_unstemmed |
Agreement study between color and IR retinal images based on retinal vasculature morphological parameters |
title_sort |
agreement study between color and ir retinal images based on retinal vasculature morphological parameters |
publisher |
BMC |
series |
BMC Ophthalmology |
issn |
1471-2415 |
publishDate |
2019-01-01 |
description |
Abstract Background Color fundus photography have been extensively used to explore the link between retinal morphology changes associated with various disease i.e. Diabetic Retinopathy, Glaucoma. The development of multimodal imaging system that integrates Infrared Scanning Laser Ophthalmoscope (IR-SLO) and Optical Coherence Tomography (OCT) could help in studying these diseases at an early stage. The aim of this study was to test the agreement between the retinal vasculature parameters from the Infrared images obtained from optical coherence tomography and color fundus imaging. Methods The IR and Color retinal images were obtained from 16 volunteer participants and seven retinal vessel parameters, i.e. Fractal Dimension (FD), Average Angle (ABA), Total Angle Count (TAC), Tortuosity (ST), Vessel/Background ratio (VBR), Central Retinal Arteriolar Equivalent (CRAE) and Central Retinal Venular Equivalent (CRVE) were extracted from these retinal images using Retinal Image Vasculature Assessment software (RIVAS) and Integrative Vessel Analysis (IVAN). Results The Bland Altman plot was used to investigate the agreement between the two modalities. The paired sample t-test was used to assess the presence of fixed bias and the slope of Least Square Regression (LSR) line for the presence of proportional bias. The paired sample t-test showed that there was no statistically significant difference between Color and IR based on retinal vessel features (all p values > 0.05). LSR also revealed no statistically significant difference in the retinal vessel features between Color and IR. Conclusion This study has revealed that there is a fair agreement between Color and IR images based on retinal vessel features. This research has shown that it is possible to use IR images of the retina to measure the retinal vasculature parameters which has the advantage of being flash-less, can be used even if there is opacity due to cataract, and can be performed along with OCT on the same device. |
topic |
Infrared scanning laser ophthalmoscope Optical coherence tomography Retinal image vasculature assessment software Integrative vessel analysis |
url |
http://link.springer.com/article/10.1186/s12886-018-0997-6 |
work_keys_str_mv |
AT aqsaajaz agreementstudybetweencolorandirretinalimagesbasedonretinalvasculaturemorphologicalparameters AT behzadaliahmad agreementstudybetweencolorandirretinalimagesbasedonretinalvasculaturemorphologicalparameters AT himeeshkumar agreementstudybetweencolorandirretinalimagesbasedonretinalvasculaturemorphologicalparameters AT marcsarossy agreementstudybetweencolorandirretinalimagesbasedonretinalvasculaturemorphologicalparameters AT dineshkkumar agreementstudybetweencolorandirretinalimagesbasedonretinalvasculaturemorphologicalparameters |
_version_ |
1724865790892572672 |