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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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/467462 |
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| author | Behzad Aliahmad Dinesh Kant Kumar Hao Hao Premith Unnikrishnan Mohd Zulfaezal Che Azemin Ryo Kawasaki Paul Mitchell |
| author_facet | Behzad Aliahmad Dinesh Kant Kumar Hao Hao Premith Unnikrishnan Mohd Zulfaezal Che Azemin Ryo Kawasaki Paul Mitchell |
| author_sort | Behzad Aliahmad |
| collection | DOAJ |
| 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 |
| id | doaj-art-eacfade7c2d5483dbf9a69a22e2be8fe |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-eacfade7c2d5483dbf9a69a22e2be8fe2025-02-03T06:00:20ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/467462467462Zone Specific Fractal Dimension of Retinal Images as Predictor of Stroke IncidenceBehzad Aliahmad0Dinesh Kant Kumar1Hao Hao2Premith Unnikrishnan3Mohd Zulfaezal Che Azemin4Ryo Kawasaki5Paul Mitchell6School of Electrical and Computer Engineering, RMIT University, 124 Latrobe Street, Melbourne, VIC 3000, AustraliaSchool of Electrical and Computer Engineering, RMIT University, 124 Latrobe Street, Melbourne, VIC 3000, AustraliaSchool of Electrical and Computer Engineering, RMIT University, 124 Latrobe Street, Melbourne, VIC 3000, AustraliaSchool of Electrical and Computer Engineering, RMIT University, 124 Latrobe Street, Melbourne, VIC 3000, AustraliaDepartment of Optometry and Visual Science, Kulliyyah of Allied Health Sciences (KAHS), International Islamic University Malaysia (IIUM), Bandar Indera Mahkota, 25200 Kuantan, Pahang, MalaysiaDepartment of Public Health, Yamagata University Faculty of Medicine, 2-2-2 Iida-Nishi, Yamagata-shi, Yamagata 990-9585, JapanCentre for Vision Research, Department of Ophthalmology and Westmead Millennium Institute, University of Sydney, 176 Hawkesbury Road, Westmead, NSW 2145, AustraliaFractal 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.http://dx.doi.org/10.1155/2014/467462 |
| spellingShingle | Behzad Aliahmad Dinesh Kant Kumar Hao Hao Premith Unnikrishnan Mohd Zulfaezal Che Azemin Ryo Kawasaki Paul Mitchell Zone Specific Fractal Dimension of Retinal Images as Predictor of Stroke Incidence The Scientific World Journal |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2014/467462 |
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