Machine Vision and Applications

, Volume 23, Issue 6, pp 1129–1139 | Cite as

Layer extraction in rodent retinal images acquired by optical coherence tomography

  • József Molnár
  • Dmitry Chetverikov
  • Delia Cabrera DeBuc
  • Wei Gao
  • Gábor Márk Somfai
Original Paper

Abstract

Optical coherence tomography (OCT) is a modern technique that allows for in vivo, fast, high-resolution 3D imaging. OCT can be efficiently used in eye research and diagnostics, when retinal images are processed to extract borders of retinal layers. In this paper, we present two novel algorithms for delineation of three main borders in rodent retinal images. The first, fast algorithm is based on row projections in a sliding window. It provides initial borders for a slower but more precise variational algorithm that iteratively refines the borders. The results obtained by the two algorithms are quantitatively evaluated by comparison to the borders manually extracted in a set of retinal images.

Keywords

Optical coherence tomography Retinal images Retinal layers Segmentation Variational methods 

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • József Molnár
    • 1
  • Dmitry Chetverikov
    • 1
  • Delia Cabrera DeBuc
    • 2
  • Wei Gao
    • 2
  • Gábor Márk Somfai
    • 3
  1. 1.MTA SZTAKI and Eötvös Loránd UniversityBudapestHungary
  2. 2.Bascom Palmer Eye Institute, Miller School of MedicineUniversity of MiamiMiamiUSA
  3. 3.Department of OphthalmologySemmelweis UniversityBudapestHungary

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