Layer extraction in rodent retinal images acquired by optical coherence tomography

József Molnór, D. Chetverikov, Delia Cabrera DeBuc, Wei Gao, G. M. Somfai

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1129-1139
Number of pages11
JournalMachine Vision and Applications
Volume23
Issue number6
DOIs
Publication statusPublished - Nov 2012

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Optical tomography
Imaging techniques
Rodentia

Keywords

  • 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

Cite this

Layer extraction in rodent retinal images acquired by optical coherence tomography. / Molnór, József; Chetverikov, D.; DeBuc, Delia Cabrera; Gao, Wei; Somfai, G. M.

In: Machine Vision and Applications, Vol. 23, No. 6, 11.2012, p. 1129-1139.

Research output: Contribution to journalArticle

Molnór, József ; Chetverikov, D. ; DeBuc, Delia Cabrera ; Gao, Wei ; Somfai, G. M. / Layer extraction in rodent retinal images acquired by optical coherence tomography. In: Machine Vision and Applications. 2012 ; Vol. 23, No. 6. pp. 1129-1139.
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