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Automatic Analysis of Color Fundus Photographs and Its Application to the Diagnosis of Diabetic Retinopathy

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Handbook of Biomedical Image Analysis

Abstract

Medical image processing is the meeting of two sciences that behave in completely different ways. While medicine is a science where experience plays a majors role and where the practical use is evident, image processing—as a derivative of applied mathematics—is a more theoretical discipline. Hence, the conditions of this meeting need to be analyzed sophisticatedly; not everything possible to implement is useful, and not everything useful is possible to implement.

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Bibliography

  1. Massin, P., Erginay, A., and Gaudric, A., Rétinopathie Diabétique, Elsevier, Editions scientifiques of médicales, Elsevier, SAS, Paris, 2000.

    Google Scholar 

  2. Lee, S. C., Lee, E. T., Kingsley, R. M., Wang, Y., Russell, D., Klein, R., and Warn, A., Comparison of diagnosis of early retinal lesions of diabetic retinopathy between a computer system and human experts, Arch. Ophthalmol., Vol. 119, pp. 509–515, 2001.

    Google Scholar 

  3. Delori, F. C. and Pflibsen, K. P., Spectral Reflectance of the Ocular Fundus, Appl. Optics, Vol. 28, pp. 1061–1071, 1989.

    Google Scholar 

  4. Preece, S. J. and Claridge E., Monte Carlo modelling of the spectral reflectance of the human eye, Phy. Med. Biol., Vol. 47, pp. 2863–2877, 2001.

    Article  Google Scholar 

  5. Serra, J., Image Analysis and Mathematical Morphology, Academic Press, San Diego, CA, 1988.

    Google Scholar 

  6. Soille, P., Morphological Image Analysis: Principles and Applications, Springer-Verlag, Berlin, 1999.

    MATH  Google Scholar 

  7. Beucher, S. and Meyer, F., The morphological approach to image segmentation: The watershed transformation, In: Mathematical Morphology in Image Processing, Dougherty, E. R., ed., Marcel Dekker, New York, pp. 433–481, 1992.

    Google Scholar 

  8. Vincent, L., Morphological area openings and closings for grayscale images, In: NATO Shape in Picture Workshop, Driebergen, 1992, pp. 197–208.

    Google Scholar 

  9. Walter, T., Application de la Morphologie Mathématique au diagnostic de la Rétinopathie Diabétique à partir d’images couleur, Ph.d. Thesis, Centre of Mathematical Morphology, Paris School of Mines, September 2003.

    Google Scholar 

  10. Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., and Goldbaum, M., Detection of blood vessels in retinal images using two-dimensional matched filters, IEEE Trans. Med. Imaging, Vol. 8, No. 3, pp. 263–269, 1989.

    Article  Google Scholar 

  11. Zana, F. and Klein, J.-C., Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation, IEEE Trans. Image Process., Vol. 10, No. 7, pp. 1010–1019, 2001.

    Article  MATH  Google Scholar 

  12. Sahoo, P. K., Soltani, S., Wong, A. K. C., and Chen, Y. C., A survey of Thresholding Techniques, Comput. Vision, Graphics, Image Process., Vol. 41, pp. 233–260, 1988.

    Article  Google Scholar 

  13. Sinthanayothin, C., Boyce, J. F., Cook, H. L., and Williamson, T. H., Automated localisation of the optic disc, fovea and retinal blood vessels from digital colour fundus images, Br. J. Ophthalmol., Vol. 83, No. 8, pp. 231–238, 1999.

    Article  Google Scholar 

  14. Tamura, S. and Okamoto, Y., Zero-crossing interval correction in tracing eye-fundus blood vessels, Patt. Recogn., Vol. 21, No. 3, pp. 227–233, 1988.

    Article  Google Scholar 

  15. Pinz A., Prantl, M., and Datlinger P., Mapping the human retina, IEEE Trans. Med. Imaging, Vol. 1, No. 1, pp. 210–215, 1998.

    Google Scholar 

  16. Osareh, A., Mirmehdi, M., Thomas, B., and Markham, R., Colour morphology and snakes for optic disc localisation, In: The 6th Medical Image Understanding and Analysis Conference, 2002, pp. 21–24.

    Google Scholar 

  17. Walter, T. and Klein, J.-C., Segmentation of color fundus images of the human retina: Detection of the optic disc and the vascular tree using morphological techniques, In: Lecture Notes in Computer Science, Vol. 2199, Crespo, J., Maojo, V., and Martin, F., eds., Springer-Verlag, Berlin, pp. 282–287, 2001.

    Google Scholar 

  18. Walter, T. and Klein, J.-C., A contribution of image processing to the diagnosis of diabetic retinopathy-Detection of exudates in color fundus images of the human retina, IEEE Trans. Med. Imaging, Vol. 21, No. 10, pp. 1236–1244, 2002.

    Article  Google Scholar 

  19. Läy, B., Analyse automatique des images angiofluorographiques au cours de la rétinopathie diabétique, Ph.d. Thesis, Centre of Mathematical Morphology, Paris School of Mines, June 1983.

    Google Scholar 

  20. Spencer, T., Phillips, R. P., Sharp, P. F., and Forrester, J. V., Automated detection and quantification of microaneurysms in fluorescein angiograms, Graefe’s Arch. Clin. Exp. Ophtalmol., Vol. 230, pp. 36–41, 1991.

    Article  Google Scholar 

  21. Mendonça, A. M., Campilho, A. J., and Nunes, J. M., Automatic segmentation of microaneurysms in retinal angiograms of diabetic patients, In: Proceedings of IEEE International Conference of Image Analysis Applications (ICIAP 99), 1999, pp. 728–733.

    Google Scholar 

  22. Walter, T. and Klein, J.-C., Detection of microaneurysms in color fundus images of the human retina, In: Lecture Notes in Computer Science, Vol. 2526, Colosimo, A., Giuliani, A., and Sirabella, P., eds., Springer-Verlag, Berlin, pp. 210–220, 2002.

    Google Scholar 

  23. Duda, R. O. and Hart, P. E., Pattern Recognition and Scene Analysis, Wiley-Interscience, New York, London, Sidney, Toronto, 1973.

    Google Scholar 

  24. Ripley, B. D., Pattern Recognition and Neural Networks, Cambridge University Press, Cambridge, UK, 1996.

    MATH  Google Scholar 

  25. Ward, N. P., Tomlinson, S., and Taylor, C., Image analysis of fundus photographs—The detection and measurement of exudates associated with diabetic retinopathy, Ophthalmology, Vol. 96, pp. 80–86, 1989.

    Google Scholar 

  26. Phillips, R., Forrester, J., and Sharp, P., Automated detection and quantification of retinal exudates, Graefe’s Arch. Clini. Exp. Ophthalmol., Vol. 231, pp. 90–94, 1993.

    Article  Google Scholar 

  27. Moreno Barriuso, E., Laser Ray Tracing in the Human Eye: Measurement and Correction of the Aberrations by Means of Phase Plates, Ph.d. Thesis, Institute of Optics, CSIC, Spain, June 2000.

    Google Scholar 

  28. Osareh, A., Mirmehdi, M., Thomas, B., and Markham, R., Automatic recognition of exudative maculopathy using fuzzy c-means clustering and neural networks, In: Proceedings of Medical Image Underestanding and Analysis Conference, July 2001, pp. 49–52.

    Google Scholar 

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© 2005 Kluwer Academic/Plenum Publishers, New York

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Walter, T., Klein, JC. (2005). Automatic Analysis of Color Fundus Photographs and Its Application to the Diagnosis of Diabetic Retinopathy. In: Suri, J.S., Wilson, D.L., Laxminarayan, S. (eds) Handbook of Biomedical Image Analysis. Topics in Biomedical Engineering International Book Series. Springer, Boston, MA. https://doi.org/10.1007/0-306-48606-7_7

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  • DOI: https://doi.org/10.1007/0-306-48606-7_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-306-48605-0

  • Online ISBN: 978-0-306-48606-7

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