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 |
|---|---|
| Pages (from-to) | 1129-1139 |
| Number of pages | 11 |
| Journal | Machine Vision and Applications |
| Volume | 23 |
| Issue number | 6 |
| DOIs | |
| State | Published - Nov 1 2012 |
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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, Dmitry; Cabrera DeBuc, Delia; Gao, Wei; Somfai, Góbor Mórk.
In: Machine Vision and Applications, Vol. 23, No. 6, 01.11.2012, p. 1129-1139.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Layer extraction in rodent retinal images acquired by optical coherence tomography
AU - Molnór, József
AU - Chetverikov, Dmitry
AU - Cabrera DeBuc, Delia
AU - Gao, Wei
AU - Somfai, Góbor Mórk
PY - 2012/11/1
Y1 - 2012/11/1
N2 - 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.
AB - 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.
KW - Optical coherence tomography
KW - Retinal images
KW - Retinal layers
KW - Segmentation
KW - Variational methods
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U2 - 10.1007/s00138-011-0343-y
DO - 10.1007/s00138-011-0343-y
M3 - Article
AN - SCOPUS:84870240371
VL - 23
SP - 1129
EP - 1139
JO - Machine Vision and Applications
JF - Machine Vision and Applications
SN - 0932-8092
IS - 6
ER -