Improving Segmentation of 3D Retina Layers Based on Graph Theory Approach for Low Quality OCT Images

Improving Segmentation of 3D Retina Layers Based on Graph Theory Approach for Low Quality OCT Images

This paper presents signal processing aspects for automatic segmentation of retinal layers of the human eye. The paper draws attention to the problems that occur during the computer image processing of images obtained with the use of the Spectral Domain Optical Coherence Tomography (SD OCT). Accurac...

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Bibliographic Details
Main Authors: Stankiewicz Agnieszka, Marciniak Tomasz, Dąbrowski Adam, Stopa Marcin, Rakowicz Piotr, Marciniak Elżbieta
Format: Article
Language:English
Published: Polish Academy of Sciences 2016-06-01
Series:Metrology and Measurement Systems
Subjects:
Optical Coherence Tomography (OCT)
segmentation of retinal layers
image segmentation
graph theory
Online Access:http://www.degruyter.com/view/j/mms.2016.23.issue-2/mms-2016-0016/mms-2016-0016.xml?format=INT
Description
Summary:This paper presents signal processing aspects for automatic segmentation of retinal layers of the human eye. The paper draws attention to the problems that occur during the computer image processing of images obtained with the use of the Spectral Domain Optical Coherence Tomography (SD OCT). Accuracy of the retinal layer segmentation for a set of typical 3D scans with a rather low quality was shown. Some possible ways to improve quality of the final results are pointed out. The experimental studies were performed using the so-called B-scans obtained with the OCT Copernicus HR device.
ISSN:2300-1941

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