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Automated Analysis of Directional Optical Coherence Tomography Images

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Image Analysis and Recognition (ICIAR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10317))

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Abstract

Directional optical coherence tomography (D-OCT) reveals reflectance properties of retinal structures by changing the incidence angle of the light beam. As no commercially available OCT device has been designed for such use, image processing is required to homogenize the grey levels between off-axis images before differential analysis. We describe here a method for automated analysis of D-OCT images and propose a color representation to highlight angle-dependent structures. Clinical results show that the proposed approach is robust and helpful for clinical interpretation.

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Authors and Affiliations

  1. Institut Supérieur d’Electronique de Paris (ISEP), Paris, France

    Florence Rossant

  2. Clinical Investigation Center 1423, Quinze-Vingts Hospital, Paris, France

    Kate Grieve & Michel Paques

Authors
  1. Florence Rossant
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  2. Kate Grieve
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  3. Michel Paques
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Corresponding author

Correspondence to Florence Rossant .

Editor information

Editors and Affiliations

  1. University of Waterloo, Waterloo, ON, Canada

    Fakhri Karray

  2. University of Porto, Porto, Portugal

    Aurélio Campilho

  3. Politechnique Montreal, Montreal, QC, Canada

    Farida Cheriet

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© 2017 Springer International Publishing AG

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Rossant, F., Grieve, K., Paques, M. (2017). Automated Analysis of Directional Optical Coherence Tomography Images. In: Karray, F., Campilho, A., Cheriet, F. (eds) Image Analysis and Recognition. ICIAR 2017. Lecture Notes in Computer Science(), vol 10317. Springer, Cham. https://doi.org/10.1007/978-3-319-59876-5_58

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  • DOI: https://doi.org/10.1007/978-3-319-59876-5_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59875-8

  • Online ISBN: 978-3-319-59876-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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