Retinal vasculature fractal dimension measures vessel density
Purpose: The goal of this study was to provide the empirical evidence of fractal dimension as an indirect measure of retinal vasculature density. Materials and methods: Two hundred retinal samples of right eye [57.0% females (n = 114) and 43.0% males (n = 86)] were selected from baseline visit. A...
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2016
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iium-450202017-04-12T04:03:52Z http://irep.iium.edu.my/45020/ Retinal vasculature fractal dimension measures vessel density Ab Hamid, Fadilah Che Azemin, Mohd Zulfaezal Salam, Adzura Aminuddin, Amilia Mohd Daud, Norsyazwani Zahari, Ilyanoon RE Ophthalmology Purpose: The goal of this study was to provide the empirical evidence of fractal dimension as an indirect measure of retinal vasculature density. Materials and methods: Two hundred retinal samples of right eye [57.0% females (n = 114) and 43.0% males (n = 86)] were selected from baseline visit. A custom-written software was used for vessel segmentation. Vessel segmentation is the process of transforming two-dimensional color images into binary images (i.e. black and white pixels). The circular area of approximately 2.6 optic disc radii surrounding the center of optic disc was cropped. The non-vessels fragments were removed. FracLac was used to measure the fractal dimension and vessel density of retinal vessels. Results: This study suggested that 14.1% of the region of interest (i.e. approximately 2.6 optic disk radii) comprised retinal vessel structure. Using correlation analysis, vessel density measurement and fractal dimension estimation are linearly and strongly correlated (R = 0.942, R2 = 0.89, p50.001). Polynomial regression model suggests quadratic regression as the best fit for our data (linear: R2 = 0.1024, 198 d.f., p50.001, quadratic: R2 = 0.1236, 197 d.f., p50.001, cubic: R2 = 0.1236, 196 d.f., p50.001). Conclusions: This study demonstrated the ability of vessel density measurement to detect the changes in the morphology of retinal microvascular associated with increasing age. Thus, vessel density can be suggested to be another parameter in the quantification of retinal microvasculature Taylor and Francis Ltd 2016-06-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/45020/1/current_eye_research.pdf application/pdf en http://irep.iium.edu.my/45020/4/45020_Retinal%20Vasculature%20Fractal.pdf application/pdf en http://irep.iium.edu.my/45020/5/45020_Retinal%20Vasculature%20Fractal_WOS.pdf application/pdf en http://irep.iium.edu.my/45020/6/45020_Retinal%20Vasculature%20Fractal_SCOPUS.pdf Ab Hamid, Fadilah and Che Azemin, Mohd Zulfaezal and Salam, Adzura and Aminuddin, Amilia and Mohd Daud, Norsyazwani and Zahari, Ilyanoon (2016) Retinal vasculature fractal dimension measures vessel density. Current Eye Research, 41 (6). pp. 823-831. ISSN 0271-3683 E-ISSN 1460-2202 http://dx.doi.org/10.3109/02713683.2015.1056375 10.3109/02713683.2015.1056375 |
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RE Ophthalmology Ab Hamid, Fadilah Che Azemin, Mohd Zulfaezal Salam, Adzura Aminuddin, Amilia Mohd Daud, Norsyazwani Zahari, Ilyanoon Retinal vasculature fractal dimension measures vessel density |
description |
Purpose: The goal of this study was to provide the empirical evidence of fractal dimension as an indirect
measure of retinal vasculature density.
Materials and methods: Two hundred retinal samples of right eye [57.0% females (n = 114) and 43.0% males
(n = 86)] were selected from baseline visit. A custom-written software was used for vessel segmentation. Vessel
segmentation is the process of transforming two-dimensional color images into binary images (i.e. black and
white pixels). The circular area of approximately 2.6 optic disc radii surrounding the center of optic disc was
cropped. The non-vessels fragments were removed. FracLac was used to measure the fractal dimension and
vessel density of retinal vessels.
Results: This study suggested that 14.1% of the region of interest (i.e. approximately 2.6 optic disk radii)
comprised retinal vessel structure. Using correlation analysis, vessel density measurement and fractal
dimension estimation are linearly and strongly correlated (R = 0.942, R2 = 0.89, p50.001). Polynomial regression
model suggests quadratic regression as the best fit for our data (linear: R2 = 0.1024, 198 d.f., p50.001, quadratic:
R2 = 0.1236, 197 d.f., p50.001, cubic: R2 = 0.1236, 196 d.f., p50.001).
Conclusions: This study demonstrated the ability of vessel density measurement to detect the changes in the
morphology of retinal microvascular associated with increasing age. Thus, vessel density can be suggested to be
another parameter in the quantification of retinal microvasculature |
format |
Article |
author |
Ab Hamid, Fadilah Che Azemin, Mohd Zulfaezal Salam, Adzura Aminuddin, Amilia Mohd Daud, Norsyazwani Zahari, Ilyanoon |
author_facet |
Ab Hamid, Fadilah Che Azemin, Mohd Zulfaezal Salam, Adzura Aminuddin, Amilia Mohd Daud, Norsyazwani Zahari, Ilyanoon |
author_sort |
Ab Hamid, Fadilah |
title |
Retinal vasculature fractal dimension measures vessel
density |
title_short |
Retinal vasculature fractal dimension measures vessel
density |
title_full |
Retinal vasculature fractal dimension measures vessel
density |
title_fullStr |
Retinal vasculature fractal dimension measures vessel
density |
title_full_unstemmed |
Retinal vasculature fractal dimension measures vessel
density |
title_sort |
retinal vasculature fractal dimension measures vessel
density |
publisher |
Taylor and Francis Ltd |
publishDate |
2016 |
url |
http://irep.iium.edu.my/45020/ http://irep.iium.edu.my/45020/ http://irep.iium.edu.my/45020/ http://irep.iium.edu.my/45020/1/current_eye_research.pdf http://irep.iium.edu.my/45020/4/45020_Retinal%20Vasculature%20Fractal.pdf http://irep.iium.edu.my/45020/5/45020_Retinal%20Vasculature%20Fractal_WOS.pdf http://irep.iium.edu.my/45020/6/45020_Retinal%20Vasculature%20Fractal_SCOPUS.pdf |
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2023-09-18T21:04:02Z |
last_indexed |
2023-09-18T21:04:02Z |
_version_ |
1777410813158490112 |