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Modeling and Extraction of Retinal Blood Vessels from RetCam 3 Based on Morphological Segmentation

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Intelligent Information and Database Systems: Recent Developments (ACIIDS 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 830))

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Abstract

This paper deals with the analysis and modeling of the retinal blood vessels system. The aim of the analysis is the design and implementation of a fully automated segmentation model based on the morphological segmentation, allowing for extraction of the blood system area within the binary model, where other retinal structures are suppressed. An important feature of the model is sensitivity and robustness to declare the efficacy of segmentation in an environment with worse image parameters. For this reason, the designed model is also tested for data where the vascular system is visualized under a low contrast. Part of the analysis is the comparative testing of the designed model against selected segmentation methods based on objective criteria. The designed model was tested and verified on dataset from system RetCam 3 containing 22 images.

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Acknowledgements

The work and the contributions were supported by the project SV4508811/2101Biomedical Engineering Systems XIV’. This study was also supported by the research project The Czech Science Foundation (GACR) 2017 No. 17-03037S Investment evaluation of medical device development run at the Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic. This study was supported by the research project The Czech Science Foundation (TACR) ETA No. TL01000302 Medical Devices development as an effective investment for public and private entities. This article was supported by the Ministry of Education of the Czech Republic (Project No. SP2018/170). This work was supported by the European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project, project number CZ.02.1.01/0.0/0.0/16_019/0000867 within the Operational Programme Research, Development and Education.

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Authors and Affiliations

  1. FEECS, VSB-Technical University of Ostrava, K450, 17. Listopadu 15, Poruba, Ostrava, Czech Republic

    Alice Krestanova, Jan Kubicek, Marek Penhaker, David Oczka & Jan Vanus

  2. Clinic of Ophthalmology, University Hospital Ostrava, Ostrava, Czech Republic

    Juraj Timkovic

Authors
  1. Alice Krestanova
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  2. Jan Kubicek
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  3. Juraj Timkovic
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  4. Marek Penhaker
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  5. David Oczka
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  6. Jan Vanus
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Corresponding author

Correspondence to Jan Kubicek .

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Editors and Affiliations

  1. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Maciej Huk

  2. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Maleszka

  3. Department of Management, Gdańsk University of Technology, Gdańsk, Poland

    Edward Szczerbicki

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Krestanova, A., Kubicek, J., Timkovic, J., Penhaker, M., Oczka, D., Vanus, J. (2020). Modeling and Extraction of Retinal Blood Vessels from RetCam 3 Based on Morphological Segmentation. In: Huk, M., Maleszka, M., Szczerbicki, E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence, vol 830. Springer, Cham. https://doi.org/10.1007/978-3-030-14132-5_20

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