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

Szczegóły
Opis

Tytuł:: 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.
Powiązania:: https://bibliotekanauki.pl/articles/221548.pdf
Data publikacji:: 2016
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: Optical Coherence Tomography (OCT)
segmentation of retinal layers
image segmentation
graph theory
Źródło:: Metrology and Measurement Systems; 2016, 23, 2; 269-280
0860-8229
Język:: angielski
Prawa:: CC BY-NC-ND: Creative Commons Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 PL
Dostawca treści:: Biblioteka Nauki
: Artykuł

Przejdź do źródła

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.

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