Method of Extracting The Choroidal Area and Its Quantitative Analysis on Optical Coherence Tomography Images for the Diagnostics of Eye Diseases

This paper proposes a technology for the extraction of the vascular tissue of the human eye and calculation of the choroidal vascular index on optical coherence tomography (OCT) images. The choroid is one of the most vascularized structures of the human body and plays an indispensable role in the nu...

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Bibliographic Details
Published in:Journal of computer & systems sciences international Vol. 63; no. 3; pp. 503 - 509
Main Authors: Demin, N. S., Ilyasova, N. Yu, Samigullin, R. T.
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 01.06.2024
Springer Nature B.V
Subjects:
Artificial intelligence
Blood vessels
Control
Engineering
Eye diseases
Image filters
Mechatronics
Medical imaging
Morphology
Optical Coherence Tomography
Pathology
Pattern Recognition and Image Processing
Photoreceptors
Quantitative analysis
Robotics
Tomography
Vascular tissue
choroid
quantitative features
biomedical images
thresholding
quantitative analysis
optical coherence tomography images
ISSN:1064-2307, 1555-6530
Online Access:Get full text
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Summary:This paper proposes a technology for the extraction of the vascular tissue of the human eye and calculation of the choroidal vascular index on optical coherence tomography (OCT) images. The choroid is one of the most vascularized structures of the human body and plays an indispensable role in the nutrition of photoreceptors. The applied approach is based on the use of the method of shadow compensation of OCT images with their subsequent filtering and binarization. The technology for isolating the choroidal region and quantitatively assessing the choroidal vascular index (CVI) on OCT images to identify endocrine ophthalmopathy (EOP) is considered. This technology has made it possible to automate the calculation of choroidal vascular index value, which is an important indicator in the study of the vascular layer when diagnosing eye diseases.
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ISSN:1064-2307
1555-6530
DOI:10.1134/S1064230724700370