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Retina Analysis in Optical Coherence Tomography Images

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Information Technologies in Biomedicine, Volume 3

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 283))

Abstract

A new method of the OCT (Optical Coherence Tomography) image analysis is presented. It concerns eyeball examination in ophthalmology. Adaptive noise suppression algorithm, based on anisotropic diffusion, followed by multistep image analysis approach yield a segmentation and measurement of various layers within the retina structure. The proposed segmentation approach utilizes different image processing techniques including watershed transform, Fuzzy C-Means and H-Minima Transform. Both, anatomical and pathological cases have been subjected to the analysis. The results have been evaluated by an expert.

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Author information

Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Wojciech Wieclawek & Ewa Pietka

Authors
  1. Wojciech Wieclawek
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  2. Ewa Pietka
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Corresponding author

Correspondence to Wojciech Wieclawek .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Wieclawek, W., Pietka, E. (2014). Retina Analysis in Optical Coherence Tomography Images. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 3. Advances in Intelligent Systems and Computing, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-319-06593-9_22

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  • DOI: https://doi.org/10.1007/978-3-319-06593-9_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06592-2

  • Online ISBN: 978-3-319-06593-9

  • eBook Packages: EngineeringEngineering (R0)

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