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Information Technologies in Biomedicine, Volume 4 pp 377–386Cite as

Overview of the Ocular Biomechanical Properties Measured by the Ocular Response Analyzer and the Corvis ST

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 284))

Abstract

Two commercially used noncontact tonometers: the Ocular Response Analyzer (ORA) and the Corvis ST (CST) are presented. The devices measures biomechanical properties of the cornea that are essential for better understanding of the optical and the geometrical properties of the cornea. Characteristic parameters for both ORA and Corvis ST are described. One of the main ORA parameter is corneal hysteresis (CH) which is supposed to represent the viscoelastic properties of the cornea. The main advantage of Corvis ST is a high-speed Scheimpflug camera capable of taking two-dimensional images of a cross-section of the cornea during its deformation, which can possibly give additional information about the biomechanical status of the cornea.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, 41-200, Sosnowiec, Będzinska 39, Poland

    Magdalena Jedzierowska, Robert Koprowski & Zygmunt Wróbel

Authors
  1. Magdalena Jedzierowska
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  2. Robert Koprowski
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  3. Zygmunt Wróbel
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Corresponding author

Correspondence to Magdalena Jedzierowska .

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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© 2014 Springer International Publishing Switzerland

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Jedzierowska, M., Koprowski, R., Wróbel, Z. (2014). Overview of the Ocular Biomechanical Properties Measured by the Ocular Response Analyzer and the Corvis ST. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 4. Advances in Intelligent Systems and Computing, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-319-06596-0_35

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  • DOI: https://doi.org/10.1007/978-3-319-06596-0_35

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06595-3

  • Online ISBN: 978-3-319-06596-0

  • eBook Packages: EngineeringEngineering (R0)

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