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

• Autorzy: Stankiewicz A. , Marciniak T. , Dąbrowski A. , Stopa M. , Rakowicz P. , Marciniak E.

Identyfikatory

DOI

10.1515/mms-2016-0016

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Optical Coherence Tomography (OCT); segmentation of retinal layers; image segmentation; graph theory

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2016
• Tom: Vol. 23, nr 2
• Strony: 269--280
• Opis fizyczny: Bibliogr. 21 poz.., rys., tab., wykr., wzory

Twórcy

autor

Stankiewicz A.

• Poznan University of Technology, Department of Computing, Piotrowo 3a, 60-965 Poznań, Poland

autor

Marciniak T.

• Poznan University of Technology, Department of Computing, Piotrowo 3a, 60-965 Poznań, Poland

autor

Dąbrowski A.

• Poznan University of Technology, Department of Computing, Piotrowo 3a, 60-965 Poznań, Poland

autor

Stopa M.

• Poznan University of Medical Sciences, Department of Optometry and Biology of Visual System, Rokietnicka 5D, 60-806 Poznań, Poland
• Poznan University of Medical Sciences, Clinical Eye Unit and Pediatric Ophthalmology Service Heliodor Swiecicki University Hospital, Grunwaldzka 16/18, 60-780 Poznań, Poland

autor

Rakowicz P.

• Poznan University of Medical Sciences, Department of Optometry and Biology of Visual System, Rokietnicka 5D, 60-806 Poznań, Poland
• Poznan University of Medical Sciences, Clinical Eye Unit and Pediatric Ophthalmology Service Heliodor Swiecicki University Hospital, Grunwaldzka 16/18, 60-780 Poznań, Poland

autor

Marciniak E.

• Poznan University of Medical Sciences, Clinical Eye Unit and Pediatric Ophthalmology Service Heliodor Swiecicki University Hospital, Grunwaldzka 16/18, 60-780 Poznań, Poland

Bibliografia

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• [8] Kajic, V., Povazay, B., Hermann, B., Hofer, B., Marshall, D., Rosin, P.L., Drexler, W. (2010). Robust segmentation of intraretinal layers in the normal human fovea using a novel statistical model based on texture and shape analysis. Optics Express, 18(14), 14730-14744.
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• [17] Fernandez, D.C., et al. (2005). Automated detection of retinal layer structures on optical coherence tomography images. Opt. Express, 13(25), 10200-10216.
• [18] Stein, D. M., et al. (2015). A New Quality Assessment Parameter for Optical Coherence Tomography. The British Journal of Ophthalmology, 90.2, 186-190.
• [19] Dijkstra, E.W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269-271.
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• [21] Stankiewicz, A., Marciniak, T., Dąbrowski, A., Stopa, M., Marciniak, E. (2014). A New OCT-based Method to Generate Virtual Maps of Vitreomacular Interface Pathologies. Proc. of SPA 2014: Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference, 83‒88.

Uwagi

EN

This work was prepared within the PRELUDIUM CADOCT-Project (2014/15/N/ST6/ 00710) founded by National Science Centre Poland.

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.