Table of Contents
International Scholarly Research Notices
Volume 2016 (2016), Article ID 8423289, 6 pages
http://dx.doi.org/10.1155/2016/8423289
Research Article

Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign

1School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
2Save Sight Centre, Delhi 110033, India

Received 19 January 2016; Revised 19 June 2016; Accepted 17 July 2016

Academic Editor: Hugo Quiroz-Mercado

Copyright © 2016 Behzad Aliahmad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. A. Kaveeshwar and J. Cornwall, “The current state of diabetes mellitus in India,” Australasian Medical Journal, vol. 7, no. 1, pp. 45–48, 2014. View at Publisher · View at Google Scholar · View at Scopus
  2. S. Wild, G. Roglic, A. Green, R. Sicree, and H. King, “Global prevalence of diabetes: estimates for the year 2000 and projections for 2030,” Diabetes Care, vol. 27, no. 5, pp. 1047–1053, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. WHO, Screening for Type 2 Diabetes: Report of a World Health Organisation and International Diabetes Federation Meeting, 2003, http://www.who.int/diabetes/publications/en/screening_mnc03.pdf.
  4. R. Klein, B. E. K. Klein, S. E. Moss, and T. Y. Wong, “The relationship of retinopathy in persons without diabetes to the 15-year incidence of diabetes and hypertension: Beaver Dam Eye Study,” Transactions of the American Ophthalmological Society, vol. 104, pp. 98–107, 2006. View at Google Scholar · View at Scopus
  5. T. Y. Wong, Q. Mohamed, R. Klein, and D. J. Couper, “Do retinopathy signs in non-diabetic individuals predict the subsequent risk of diabetes?” British Journal of Ophthalmology, vol. 90, no. 3, pp. 301–303, 2006. View at Publisher · View at Google Scholar · View at Scopus
  6. T. T. Nguyen, J. J. Wang, and T. Y. Wong, “Retinal vascular changes in pre-diabetes and prehypertension: new findings and their research and clinical implications,” Diabetes Care, vol. 30, pp. 2708–2715, 2007. View at Google Scholar
  7. K. V. Chalam, S. B. Bressler, A. R. Edwards et al., “Retinal thickness in people with diabetes and minimal or no diabetic retinopathy: heidelberg spectralis optical coherence tomography,” Investigative Ophthalmology and Visual Science, vol. 53, no. 13, pp. 8154–8161, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. H. Sánchez-Tocino, A. Alvarez-Vidal, M. J. Maldonado, J. Moreno-Montañés, and A. García-Layana, “Retinal thickness study with optical coherence tomography in patients with diabetes,” Investigative Ophthalmology & Visual Science, vol. 43, no. 5, pp. 1588–1594, 2002. View at Google Scholar · View at Scopus
  9. T. T. Nguyen, J. J. Wang, A. R. Sharrett et al., “Relationship of retinal vascular caliber with diabetes and retinopathy: the Multi-Ethnic Study of Atherosclerosis (MESA),” Diabetes Care, vol. 31, no. 3, pp. 544–549, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Kifley, J. J. Wang, S. Cugati, T. Y. Wong, and P. Mitchell, “Retinal vascular caliber, diabetes, and retinopathy,” American Journal of Ophthalmology, vol. 143, no. 6, pp. 1024–1026, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. M. B. Sasongko, T. Y. Wong, T. T. Nguyen, C. Y. Cheung, J. E. Shaw, and J. J. Wang, “Retinal vascular tortuosity in persons with diabetes and diabetic retinopathy,” Diabetologia, vol. 54, no. 9, pp. 2409–2416, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. C. G. Owen, R. S. B. Newsom, A. R. Rudnicka, S. A. Barman, E. G. Woodward, and T. J. Ellis, “Diabetes and the tortuosity of vessels of the bulbar conjunctiva,” Ophthalmology, vol. 115, no. 6, pp. e27–e32, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. M. B. Sasongko, T. Y. Wong, T. T. Nguyen et al., “Retinal vessel tortuosity and its relation to traditional and novel vascular risk markers in persons with diabetes,” Current Eye Research, vol. 41, no. 4, pp. 551–557, 2016. View at Publisher · View at Google Scholar · View at Scopus
  14. T. Y. Wong and P. Mitchell, “Hypertensive retinopathy,” The New England Journal of Medicine, vol. 351, no. 22, pp. 2310–2317, 2004. View at Publisher · View at Google Scholar · View at Scopus
  15. N. Cheung, K. C. Donaghue, G. Liew et al., “Quantitative assessment of early diabetic retinopathy using fractal analysis,” Diabetes Care, vol. 32, no. 1, pp. 106–110, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. J. W. Y. Yau, R. Kawasaki, F. M. A. Islam et al., “Retinal fractal dimension is increased in persons with diabetes but not impaired glucose metabolism: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study,” Diabetologia, vol. 53, no. 9, pp. 2042–2045, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. B. Aliahmad, D. K. Kumar, M. G. Sarossy, and R. Jain, “Relationship between diabetes and grayscale fractal dimensions of retinal vasculature in the Indian population,” BMC Ophthalmology, vol. 14, no. 1, article 152, pp. 1–6, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. C. P. Wilkinson, F. L. Ferris III, R. E. Klein et al., “Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales,” Ophthalmology, vol. 110, no. 9, pp. 1677–1682, 2003. View at Publisher · View at Google Scholar · View at Scopus
  19. J. V. B. Soares, J. J. G. Leandro, R. M. Cesar Jr., H. F. Jelinek, and M. J. Cree, “Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification,” IEEE Transactions on Medical Imaging, vol. 25, no. 9, pp. 1214–1222, 2006. View at Publisher · View at Google Scholar · View at Scopus
  20. B. Aliahmad, D. K. Kumar, H. Hao et al., “Zone specific fractal dimension of retinal images as predictor of stroke incidence,” Scientific World Journal, vol. 2014, Article ID 467462, 7 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. N. Sarkar and B. B. Chaudhuri, “An efficient differential box-counting approach to compute fractal dimension of image,” IEEE Transactions on Systems, Man and Cybernetics, vol. 24, no. 1, pp. 115–120, 1994. View at Publisher · View at Google Scholar · View at Scopus
  22. M. Z. Che Azemin, D. K. Kumar, T. Y. Wong, R. Kawasaki, P. Mitchell, and J. J. Wang, “Robust methodology for fractal analysis of the retinal vasculature,” IEEE Transactions on Medical Imaging, vol. 30, no. 2, pp. 243–250, 2011. View at Publisher · View at Google Scholar · View at Scopus
  23. M. D. Knudtson, K. E. Lee, L. D. Hubbard, T. Y. Wong, R. Klein, and B. E. K. Klein, “Revised formulas for summarizing retinal vessel diameters,” Current Eye Research, vol. 27, no. 3, pp. 143–149, 2003. View at Publisher · View at Google Scholar · View at Scopus
  24. M. Shanmugam, D. Mishra, R. Madhukumar, R. Ramanjulu, S. Reddy, and G. Rodrigues, “Fundus imaging with a mobile phone: a review of techniques,” Indian Journal of Ophthalmology, vol. 62, no. 9, pp. 960–962, 2014. View at Publisher · View at Google Scholar · View at Scopus