AN AUTOMATED METHOD FOR RETINAL IMAGE MATCHING USING VASCULAR FEATURES

Alauddin Bhuiyan, Baikunth Nath, Kotagiri Ramamohanarao, Tien Y. Wong

2011

Abstract

In this paper, we propose a method for retinal image matching that can be used in image matching for person identification or patient longitudinal study. Vascular invariant features are extracted from the retinal image and a feature vector is constructed for each of the vessel-segments in the retinal blood vessels. The feature vectors are represented in a tree structure with maintaining the vessel-segments actual hierarchical positions. Using these feature vectors, corresponding images are matched. An image matching method is demonstrated which identifies the same vessel in the corresponding images for comparing the desired feature(s). Initial results demonstrate that the method is suitable for image matching and patient longitudinal study.

References

  1. Abrahams, I. W. and Gregerson, D. S. (1983). Longitudinal study of serum antibody responses to bovine retinal santigen in endogenous granulomatous uveitis. British Journal of Ophthalmology, 67:681-684.
  2. Bhuiyan, A. (2009). Automated modeling of retinal vascular network. PhD Thesis, The University of Melbourne.
  3. Bhuiyan, A., Nath, B., Chua, J., and Kotagiri, R. (2007a). Blood vessel segmentation from color retinal images using unsupervised classification. In the proceedings of the IEEE International Conference of Image Processing, pages 521-524.
  4. Bhuiyan, A., Nath, B., Chua, J., and Ramamohanarao, K. (2007b). Automatic detection of vascular bifurcations and crossovers from color retinal fundus images. Proceedings of Third International IEEE Conference on Signal-Image Technologies and Internet-Based System (SITIS), pages 711-718.
  5. Bhuiyan, A., Nath, B., Chua, J., and Ramamohanarao, K. (2008). Vessel cross-sectional diameter measurement on color retinal image. Communications in Computer and Information Science, 25:214-227.
  6. Deng, K., Tian, J., Zheng, J., Zhang, X., Dai, X., and Xu, M. (2010). Retinal fundus image registration via vascular structure graphmatching. International Journal of Biomedical Imaging, pages 1-13.
  7. Gonzalez, R. C. and Woods, R. E. (2008). Digital Image Processing. Pearson Prentice Hall, third edition.
  8. Guo, X., Hsu, W., Lee, M. L., and Wong, T. Y. (2006). A tree matching approach for the temporal registration of retinal images. Proceedings of IEEE International Conference on Tools with Artificial Intelligence, pages 632-642.
  9. Harris, A. J. and Yen, D. C. (2002). Biometric authentication: assuring access to information. Information Management and Computer Security, 10(1):12-19.
  10. Hughes, A. D., Stanton, A. V., Jabbar, A. S., Chapman, N., Martinez-Perez, M. E., and Thom, S. A. (2008). Effect of antihypertensive treatment on retinal microvascular changes in hypertension. Journal of Hypertension, 26:1703-1707.
  11. Knuth, D. E. (1973). The art of computer programming. Addison-Wesley Pub. Co., 2nd edition edition.
  12. Lin, K.-S., Tsai, C.-L., and Sofka, M. (2009). Vascular tree construction with anatomical realism for retinal images. Proceedings of Ninth IEEE International Conference on Bioinformatics and Bioengineering, pages 313-318.
  13. Marino, C., Penedo, M. G., Penas, M., Carreira, M. J., and Gonzalez, F. (2006). Personal authentication using digital retinal images. Pattern Analysis Application, 9:21-33.
  14. Stanford, M. R., Graham, E., Kasp, E., Sanders, M. D., and Dumonde, D. C. (1988). A longitudinal study of clinical and immunological findings in 52 patients with relapsing retinal vasculitis. British Journal of Ophthalmology, 72:442-447.
  15. Taarnhoj, N. C. B. B., Munch, I. C., Sander, B., Kessel, L., Hougaard, J. L., and Kyvik, K. (2008). Straight versus tortuous retinal arteries in relation to blood pressure and genetics. British Journal of Ophthalmology, 92:1055-1060.
  16. Womack, M. (1994). The eyes have it. Sensor Review, 14(4):15-16.
  17. Wong, T. Y., Kamineni, A., Klein, R., Sharrett, A. R., Klein, B. E., Siscovick, D. S., Cushman, M., and Duncan, B. B. (2006). Quantitative retinal venular caliber and risk of cardiovascular disease in older persons. Archives of Internal Medicine, 266:2388-2394.
  18. Wong, T. Y., Klein, R., Klein, B. E. K., Meuer, S. M., and Hubbard, L. D. (2003). Retinal vessel diameters and their associations with age and blood pressure. Investigative Ophthalmology and Visual Science, 44(11):4644-4650.
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Paper Citation


in Harvard Style

Bhuiyan A., Nath B., Ramamohanarao K. and Y. Wong T. (2011). AN AUTOMATED METHOD FOR RETINAL IMAGE MATCHING USING VASCULAR FEATURES . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 342-347. DOI: 10.5220/0003275903420347


in Bibtex Style

@conference{biosignals11,
author={Alauddin Bhuiyan and Baikunth Nath and Kotagiri Ramamohanarao and Tien Y. Wong},
title={AN AUTOMATED METHOD FOR RETINAL IMAGE MATCHING USING VASCULAR FEATURES},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={342-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003275903420347},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - AN AUTOMATED METHOD FOR RETINAL IMAGE MATCHING USING VASCULAR FEATURES
SN - 978-989-8425-35-5
AU - Bhuiyan A.
AU - Nath B.
AU - Ramamohanarao K.
AU - Y. Wong T.
PY - 2011
SP - 342
EP - 347
DO - 10.5220/0003275903420347