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Automatic Detection of Blood Vessels in Optical Coherence Tomography Scans

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Bildverarbeitung für die Medizin 2019

Part of the book series: Informatik aktuell ((INFORMAT))

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Zusammenfassung

The aim of this research is to develop a new automated blood vessel (BV) detection algorithm for optical coherence tomography (OCT) scans and corresponding fundus images. The algorithm provides a robust method to detect BV shadows (BVSs) using Radon transformation and other supporting image processing methods. The position of the BVSs is determined in OCT scans and the BV thickness is measured in the fundus images. Additionally, the correlation between BVS thickness and retinal nerve fiber layer (RNFL) thickness is determined. This correlation is of great interest since glaucoma, for example, can be identified by a loss of RNFL thickness.

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Literatur

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Author information

Authors and Affiliations

  1. Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Ettlingen, Deutschland

    Julia Hofmann, Melanie Böge & Szymon Gladysz

  2. Institute of Photogrammetry and Remote Sensing (IPF), KIT Karlsruhe, Karlsruhe, Deutschland

    Boris Jutzi

Authors
  1. Julia Hofmann
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  2. Melanie Böge
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  3. Szymon Gladysz
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  4. Boris Jutzi
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Corresponding author

Correspondence to Julia Hofmann .

Editor information

Editors and Affiliations

  1. Universität zu Lübeck, Institut für Medizinische Informatik, Lübeck, Germany

    Heinz Handels

  2. Peter-L. Reichertz Inst. f. Med. Inf., Technische Univ. Braunschweig, Braunschweig, Niedersachsen, Germany

    Thomas M. Deserno

  3. Lehrstuhl für Mustererkennung, Friedrich-Alexander-Universität, Erlangen, Germany

    Andreas Maier

  4. Medical Image Computing, E230, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

    Klaus Hermann Maier-Hein

  5. Fak. f. Informatik u. Mathematik, OTH Regensburg, Regensburg, Germany

    Christoph Palm

  6. Inst. f. Med. Informatik, Charité - Universitätsmedizin Berlin, Berlin, Berlin, Germany

    Thomas Tolxdorff

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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Hofmann, J., Böge, M., Gladysz, S., Jutzi, B. (2019). Automatic Detection of Blood Vessels in Optical Coherence Tomography Scans. In: Handels, H., Deserno, T., Maier, A., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2019. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25326-4_2

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