Method of chorioidea area extraction and its quantitative analysis on optical coherence tomography images for diagnostics of eye diseases2

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Abstract

The paper proposes a technology for extraction of vascular tissue of the human eye and calculation of chorioidal vascular index on optical coherence tomography images. The applied approach is based on the use of the method of shadow compensation of optical coherence tomography (OCT) images with their subsequent filtering and binarisation. The technology made it possible to automate the calculation of chorioidal vascular index value, which is an important indicator in the study of the vascular layer when diagnosing eye diseases.

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About the authors

N. S. Demin

NRC “Kurchatov Institute”; Samara National Research University

Author for correspondence.
Email: volfgunus@gmail.com

Image Processing Systems Institute

Russian Federation, Samara; Samara

N. Yu. Ilyasova

NRC “Kurchatov Institute”; Samara National Research University

Email: ilyasova.nata@gmail.com

Image Processing Systems Institute

Russian Federation, Samara; Samara

R. Т. Samigullin

NRC “Kurchatov Institute”

Email: samigullin.ravil2015@yandex.ru

Image Processing Systems Institute

Russian Federation, Samara

References

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Supplementary files

Supplementary Files
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2. Fig. 1. Image of the original OCT B-scan of the fundus. a – without pathology; b – with pathology.

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3. Fig. 2. Technology of selecting the area of interest and calculating the choroidal vascular index.

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4. Fig. 3. a – unprocessed OCT B-scan; b – image with shadow compensation.

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5. Fig. 4. a – image with shadow compensation; b – binarized layer of the choroid.

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6. Fig. 5. a – binary image; b – filtered image.

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