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

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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Publication Details

Journal
Известия Российской академии наук Теория и системы управления
Published
2024-12-12
DOI
https://doi.org/10.31857/s0002338824030172
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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OCT
article

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

Nataly Ilyasova, Nikita Demin, Ravil T. Samigullin
Известия Российской академии наук Теория и системы управления
Retinal Imaging and Analysis
article

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

Nataly Ilyasova, Nikita Demin, Ravil T. Samigullin
article en

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.

Известия Российской академии наук Теория и системы управления(3)
Kurchatov Institute (RU), Samara National Research University (RU)
Openalex Percentile: Top 61%
Retinal Imaging and Analysis
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