Layer extraction in rodent retinal images acquired by optical coherence tomography

Molnár, J and Csetverikov, Dmitrij and DeBuc, DC and Gao, W and Somfai, Gábor Márk (2012) Layer extraction in rodent retinal images acquired by optical coherence tomography. MACHINE VISION AND APPLICATIONS, 23 (6). pp. 1129-1139. ISSN 0932-8092 10.1007/s00138-011-0343-y

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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. © Springer-Verlag 2012.

Item Type: ISI Article
Uncontrolled Keywords: OPTICAL TOMOGRAPHY, Ophthalmology, iterative methods, Image segmentation, Algorithms, Variational algorithms, Sliding Window, Row projections, Retinal image, Novel algorithm, Layer extraction, IN-VIVO, High resolution, Fast algorithms, 3D imaging, Variational methods, SEGMENTATION, Retinal layers, Retinal images, optical coherence tomography
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Geometric Modelling and Computer Vision Laboratory
Depositing User: EPrints Admin
Date Deposited: 16 Jan 2014 10:31
Last Modified: 05 Feb 2014 12:28

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