Layer extraction in rodent retinal images acquired by optical coherence tomography

József Molnór, Dmitry Chetverikov, Delia Cabrera DeBuc, Wei Gao, Góbor Mórk Somfai

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1129-1139
Number of pages11
JournalMachine Vision and Applications
Issue number6
StatePublished - Nov 2012


  • Optical coherence tomography
  • Retinal images
  • Retinal layers
  • Segmentation
  • Variational methods

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Software
  • Computer Science Applications


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