Layer extraction in rodent retinal images acquired by optical coherence tomography

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

doi:10.1007/s00138-011-0343-y

Layer extraction in rodent retinal images acquired by optical coherence tomography

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

Ophthalmology

Research output: Contribution to journal › Article

4 Scopus citations

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 language	English (US)
Pages (from-to)	1129-1139
Number of pages	11
Journal	Machine Vision and Applications
Volume	23
Issue number	6
DOIs	https://doi.org/10.1007/s00138-011-0343-y
State	Published - Nov 1 2012

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

Access to Document

10.1007/s00138-011-0343-y

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Molnór, J., Chetverikov, D., DeBuc, D. C., Gao, W., & Somfai, G. M. (2012). Layer extraction in rodent retinal images acquired by optical coherence tomography. Machine Vision and Applications, 23(6), 1129-1139. https://doi.org/10.1007/s00138-011-0343-y

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