$Zone specific fractal dimension of retinal images as predictor of stroke incidence$

Zone specific fractal dimension of retinal images as predictor of stroke incidence

Fractal dimensions (FDs) are frequently used for summarizing the complexity of retinal vascular. However, previous techniques on this topic were not zone specific. A new methodology to measure FD of a specific zone in retinal images has been developed and tested as a marker for stroke prediction. Hi...

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Main Authors:	Aliahmad, Behzad, Kumar, Dinesh Kant, Hao, Hao, Unnikrishnan, Premith, Che Azemin, Mohd Zulfaezal, Kawasaki, Ryo, Mitchell, Paul
Format:	Article
Language:	English English
Published:	Hindawi Publishing Corporation 2014
Subjects:	RE Ophthalmology TA164 Bioengineering
Online Access:	http://irep.iium.edu.my/40328/ http://irep.iium.edu.my/40328/ http://irep.iium.edu.my/40328/ http://irep.iium.edu.my/40328/3/zone_specific.pdf http://irep.iium.edu.my/40328/6/40328-Zone%20specific%20fractal%20dimension%20of%20retinal%20images%20as%20predictor%20of%20stroke%20incidence.pdf

id	iium-40328
recordtype	eprints
spelling	iium-403282017-08-24T06:39:52Z http://irep.iium.edu.my/40328/ Zone specific fractal dimension of retinal images as predictor of stroke incidence Aliahmad, Behzad Kumar, Dinesh Kant Hao, Hao Unnikrishnan, Premith Che Azemin, Mohd Zulfaezal Kawasaki, Ryo Mitchell, Paul RE Ophthalmology TA164 Bioengineering Fractal dimensions (FDs) are frequently used for summarizing the complexity of retinal vascular. However, previous techniques on this topic were not zone specific. A new methodology to measure FD of a specific zone in retinal images has been developed and tested as a marker for stroke prediction. Higuchi's fractal dimension was measured in circumferential direction (FDC) with respect to optic disk (OD), in three concentric regions between OD boundary and 1.5 OD diameter from its margin. The significance of its association with future episode of stroke event was tested using the Blue Mountain Eye Study (BMES) database and compared against spectrum fractal dimension (SFD) and box-counting (BC) dimension. Kruskal-Wallis analysis revealed FDC as a better predictor of stroke (H=5.80, P=0.016, α=0.05) compared with SFD (H=0.51, P=0.475, α=0.05) and BC (H=0.41, P=0.520, α=0.05) with overall lower median value for the cases compared to the control group. This work has shown that there is a significant association between zone specific FDC of eye fundus images with future episode of stroke while this difference is not significant when other FD methods are employed. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/40328/3/zone_specific.pdf application/pdf en http://irep.iium.edu.my/40328/6/40328-Zone%20specific%20fractal%20dimension%20of%20retinal%20images%20as%20predictor%20of%20stroke%20incidence.pdf Aliahmad, Behzad and Kumar, Dinesh Kant and Hao, Hao and Unnikrishnan, Premith and Che Azemin, Mohd Zulfaezal and Kawasaki, Ryo and Mitchell, Paul (2014) Zone specific fractal dimension of retinal images as predictor of stroke incidence. The Scientific World Journal, 2014. pp. 1-7. ISSN 2356-6140 http://dx.doi.org/10.1155/2014/467462 doi:10.1155/2014/467462
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	RE Ophthalmology TA164 Bioengineering
spellingShingle	RE Ophthalmology TA164 Bioengineering Aliahmad, Behzad Kumar, Dinesh Kant Hao, Hao Unnikrishnan, Premith Che Azemin, Mohd Zulfaezal Kawasaki, Ryo Mitchell, Paul Zone specific fractal dimension of retinal images as predictor of stroke incidence
description	Fractal dimensions (FDs) are frequently used for summarizing the complexity of retinal vascular. However, previous techniques on this topic were not zone specific. A new methodology to measure FD of a specific zone in retinal images has been developed and tested as a marker for stroke prediction. Higuchi's fractal dimension was measured in circumferential direction (FDC) with respect to optic disk (OD), in three concentric regions between OD boundary and 1.5 OD diameter from its margin. The significance of its association with future episode of stroke event was tested using the Blue Mountain Eye Study (BMES) database and compared against spectrum fractal dimension (SFD) and box-counting (BC) dimension. Kruskal-Wallis analysis revealed FDC as a better predictor of stroke (H=5.80, P=0.016, α=0.05) compared with SFD (H=0.51, P=0.475, α=0.05) and BC (H=0.41, P=0.520, α=0.05) with overall lower median value for the cases compared to the control group. This work has shown that there is a significant association between zone specific FDC of eye fundus images with future episode of stroke while this difference is not significant when other FD methods are employed.
format	Article
author	Aliahmad, Behzad Kumar, Dinesh Kant Hao, Hao Unnikrishnan, Premith Che Azemin, Mohd Zulfaezal Kawasaki, Ryo Mitchell, Paul
author_facet	Aliahmad, Behzad Kumar, Dinesh Kant Hao, Hao Unnikrishnan, Premith Che Azemin, Mohd Zulfaezal Kawasaki, Ryo Mitchell, Paul
author_sort	Aliahmad, Behzad
title	Zone specific fractal dimension of retinal images as predictor of stroke incidence
title_short	Zone specific fractal dimension of retinal images as predictor of stroke incidence
title_full	Zone specific fractal dimension of retinal images as predictor of stroke incidence
title_fullStr	Zone specific fractal dimension of retinal images as predictor of stroke incidence
title_full_unstemmed	Zone specific fractal dimension of retinal images as predictor of stroke incidence
title_sort	zone specific fractal dimension of retinal images as predictor of stroke incidence
publisher	Hindawi Publishing Corporation
publishDate	2014
url	http://irep.iium.edu.my/40328/ http://irep.iium.edu.my/40328/ http://irep.iium.edu.my/40328/ http://irep.iium.edu.my/40328/3/zone_specific.pdf http://irep.iium.edu.my/40328/6/40328-Zone%20specific%20fractal%20dimension%20of%20retinal%20images%20as%20predictor%20of%20stroke%20incidence.pdf
first_indexed	2023-09-18T20:57:50Z
last_indexed	2023-09-18T20:57:50Z
_version_	1777410423834804224

Zone specific fractal dimension of retinal images as predictor of stroke incidence

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