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European Congress on Computational Methods in Applied Sciences and Engineering

ECCOMAS 2017: VipIMAGE 2017 pp 818–826Cite as

Validation Study on Retinal Vessel Caliber Measurement Technique

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Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 27))

Abstract

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.

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Acknowledgements

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.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Eindhoven University of Technology, 5600MB, Eindhoven, The Netherlands

    Fan Huang, Behdad Dashtbozorg, Jiong Zhang & Bart M. ter Haar Romeny

  2. University Eye Clinic Maastricht, Maastricht, The Netherlands

    Alexander Yeung & Tos T. J. M. Berendschot

  3. Department of Biomedical and Information Engineering, Northeastern University, Shenyang, 110000, China

    Bart M. ter Haar Romeny

Authors
  1. Fan Huang
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  2. Behdad Dashtbozorg
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  3. Jiong Zhang
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  4. Alexander Yeung
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  5. Tos T. J. M. Berendschot
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  6. Bart M. ter Haar Romeny
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Corresponding author

Correspondence to Fan Huang .

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Editors and Affiliations

  1. Universidade do Porto, Porto, Portugal

    João Manuel R.S. Tavares

  2. Universidade do Porto, Porto, Portugal

    R.M. Natal Jorge

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Huang, F., Dashtbozorg, B., Zhang, J., Yeung, A., Berendschot, T.T.J.M., ter Haar Romeny, B.M. (2018). Validation Study on Retinal Vessel Caliber Measurement Technique. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2017. ECCOMAS 2017. Lecture Notes in Computational Vision and Biomechanics, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-68195-5_89

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  • DOI: https://doi.org/10.1007/978-3-319-68195-5_89

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68194-8

  • Online ISBN: 978-3-319-68195-5

  • eBook Packages: EngineeringEngineering (R0)

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