Validation Study on Retinal Vessel Caliber Measurement Technique

  • Fan HuangEmail author
  • Behdad Dashtbozorg
  • Jiong Zhang
  • Alexander Yeung
  • Tos T. J. M. Berendschot
  • Bart M. ter Haar Romeny
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 27)


Changes in retinal vessel caliber are associated with several diseases, such as diabetes and hypertension. The robust assessment of abnormality on vessels with different sizes is a challenging task. In this paper, we propose a robust and reliable method for the measurement of retinal vessel caliber. The method is validated on a dataset where the optic disc centered images are acquired using 6 different fundus cameras with a repetitive acquisitions. The results are compared with the semi-automatic software IVAN, where the relative errors are similar.


Vessel width Arteriolar-to-venular ratio Fundus images Active contour Diabetes 



This work is part of the Hé Programme of Innovation Cooperation, which is financed by the Netherlands Organization for Scientific Research (NWO), dossier No. 629.001.003.


  1. 1.
    Bekkers, E.J., Zhang, J., Duits, R., ter Haar Romeny, B.M.: Curvature based biomarkers for diabetic retinopathy via exponential curve fits in SE(2). In: Proceedings of the Ophthalmic Medical Image Analysis Second International Workshop, OMIA 2015, Held in Conjunction with MICCAI 2015, pp. 113–120. Iowa Research Online (2015)Google Scholar
  2. 2.
    Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. Int. J. Comput. Vision 22(1), 61–79 (1997)CrossRefzbMATHGoogle Scholar
  3. 3.
    Chew, M., Xie, J., Klein, R., Klein, B., Cotch, M.F., Redline, S., Wong, T.Y., Cheung, N.: Sleep apnea and retinal signs in cardiovascular disease: the Multi-Ethnic Study of Atherosclerosis. Sleep Breath. 20(1), 15–23 (2016)CrossRefGoogle Scholar
  4. 4.
    Dashtbozorg, B., Abbasi-Sureshjani, S., Zhang, J., Huang, F., Bekkers, E., ter Haar Romeny, B.M.: Infrastructure for retinal image analysis. In: Proceedings of the Ophthalmic Medical Image Analysis Second International Workshop, OMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, 17th October 2015, pp. 105–112. Iowa Research Online (2016)Google Scholar
  5. 5.
    Dashtbozorg, B., Zhang, J., Abbasi, S., Huang, F., ter Haar Romeny, B.M.: Retinal health information and notification system (RHINO). In: SPIE Medical Imaging, pp. 1013,437–1013,437–6. International Society for Optics and Photonics (2017)Google Scholar
  6. 6.
    Dashtbozorg, B., Zhang, J., Huang, F., ter Haar Romeny, B.M.: Automatic optic disc and fovea detection in retinal images using super-elliptical convergence index filters. Image Analysis and Recognition. Lecture Notes in Computer Science, vol. 9730, 697–706 (2016)Google Scholar
  7. 7.
    ter Haar Romeny, B.M., Bekkers, E.J., Zhang, J., Abbasi-Sureshjani, S., Huang, F., Duits, R., Dashtbozorg, B., Berendschot, T., Smit-Ockeloen, I., Eppenhof, K.A.J., Feng, J., Hannink, J., Schouten, J., Tong, M., Wu, H., van Triest, H.W., Zhu, S., Chen, D., He, W., Xu, L., Han, P., Kang, Y.: Brain-inspired algorithms for retinal image analysis. Mach. Vis. Appl. 27, 1–19 (2016)CrossRefGoogle Scholar
  8. 8.
    Ikram, M.K., Janssen, J.A., Roos, A.M., Rietveld, I., Witteman, J.C., Breteler, M.M., Hofman, A., Van Duijn, C.M., de Jong, P.T.: Retinal vessel diameters and risk of impaired fasting glucose or diabetes. Diabetes 55(2), 506–510 (2006)CrossRefGoogle Scholar
  9. 9.
    Kifley, A., Wang, J.J., Cugati, S., Wong, T.Y., Mitchell, P.: Retinal vascular caliber and the long-term risk of diabetes and impaired fasting glucose: the blue mountains eye study. Microcirculation 15(5), 373–377 (2008)CrossRefGoogle Scholar
  10. 10.
    Knudtson, M.D., Lee, K.E., Hubbard, L.D., Wong, T.Y., Klein, R., Klein, B.E.: Revised formulas for summarizing retinal vessel diameters. Curr. Eye Res. 27(3), 143–149 (2003)CrossRefGoogle Scholar
  11. 11.
    McEvoy, C., Wallace, I., Hamill, L., Neville, C., Hunter, S., Patterson, C., Woodside, J., Chakravarthy, U., Young, I., McKinley, M.: Increasing fruit and vegetable intake has no effect on retinal vessel caliber in adults at high risk of developing cardiovascular disease. Nutr. Metab. Cardiovasc. Dis. 26(4), 318–325 (2016)CrossRefGoogle Scholar
  12. 12.
    Sarwar, S., Sadiq, M.A., Hanout, M., Nguyen, Q.D.: Assessment of retinal vessel caliber changes in eyes with non-neovascular age-related macular degeneration after progression to neovascular age-related macular degeneration. Graefe’s Arch. Clin. Expe. Ophthalmol. 254(3), 599–601 (2016)CrossRefGoogle Scholar
  13. 13.
    Zhang, J., Bekkers, E.J., Abbasi, S., Dashtbozorg, B., ter Haar Romeny, B.M.: Robust and fast vessel segmentation via Gaussian derivatives in orientation scores. In: International Conference on Image Analysis and Processing, pp. 537–547 (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Fan Huang
    • 1
    Email author
  • Behdad Dashtbozorg
    • 1
  • Jiong Zhang
    • 1
  • Alexander Yeung
    • 2
  • Tos T. J. M. Berendschot
    • 2
  • Bart M. ter Haar Romeny
    • 1
    • 3
  1. 1.Department of Biomedical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.University Eye Clinic MaastrichtMaastrichtThe Netherlands
  3. 3.Department of Biomedical and Information EngineeringNortheastern UniversityShenyangChina

Personalised recommendations