An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review

Choroid is one of the structural layers, playing a significant role in physiology of the eye and lying between the sclera and the retina. The segmentation of this layer could guide ophthalmologists in diagnosing most of the eye pathologies such as choroidal tumors and polypoidal choroidal vasculopat...

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Main Authors: Reza Alizadeh Eghtedar, Mahdad Esmaeili, Alireza Peyman, Mohammadreza Akhlaghi, Seyed Hossein Rasta
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2022-02-01
Series:Journal of Biomedical Physics and Engineering
Subjects:
Online Access:https://jbpe.sums.ac.ir/article_47091_d02e961ee7335f4fc88d7d70e93672d1.pdf
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author Reza Alizadeh Eghtedar
Mahdad Esmaeili
Alireza Peyman
Mohammadreza Akhlaghi
Seyed Hossein Rasta
author_facet Reza Alizadeh Eghtedar
Mahdad Esmaeili
Alireza Peyman
Mohammadreza Akhlaghi
Seyed Hossein Rasta
author_sort Reza Alizadeh Eghtedar
collection DOAJ
description Choroid is one of the structural layers, playing a significant role in physiology of the eye and lying between the sclera and the retina. The segmentation of this layer could guide ophthalmologists in diagnosing most of the eye pathologies such as choroidal tumors and polypoidal choroidal vasculopathy. High signal-to-noise ratio and high speed imaging in Spectral-Domain Optical Coherence Tomography (SD-OCT) make choroidal imaging feasible. Several variables such as pre-operative axial length (AXL), time of day and age affect thickness of the choroidal vascularization and should be considered for segmentation of this layer. These days most of the eye specialists manually segment the choroidal layer which is time-consuming, tiresome and dependent on human errors. To overcome these difficulties, some studies have introduced different automatic choroidal segmentation methods. In this paper, we have conducted a comprehensive review on existing recently published methods for automatic choroidal segmentation algorithms.
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spelling doaj.art-b35d2f5599e84a389b29f3b8f205ebfa2022-12-22T04:17:52ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002022-02-0112112010.31661/jbpe.v0i0.123447091An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a ReviewReza Alizadeh Eghtedar0Mahdad Esmaeili1Alireza Peyman2Mohammadreza Akhlaghi3Seyed Hossein Rasta4MSc, Department of Medical Bioengineering, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, IranPhD, Department of Medical Bioengineering, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, IranMD, Department of Ophthalmology, Isfahan University of Medical Sciences, Isfahan, IranMD, Department of Ophthalmology, Isfahan University of Medical Sciences, Isfahan, IranPhD, Department of Medical Bioengineering, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, IranChoroid is one of the structural layers, playing a significant role in physiology of the eye and lying between the sclera and the retina. The segmentation of this layer could guide ophthalmologists in diagnosing most of the eye pathologies such as choroidal tumors and polypoidal choroidal vasculopathy. High signal-to-noise ratio and high speed imaging in Spectral-Domain Optical Coherence Tomography (SD-OCT) make choroidal imaging feasible. Several variables such as pre-operative axial length (AXL), time of day and age affect thickness of the choroidal vascularization and should be considered for segmentation of this layer. These days most of the eye specialists manually segment the choroidal layer which is time-consuming, tiresome and dependent on human errors. To overcome these difficulties, some studies have introduced different automatic choroidal segmentation methods. In this paper, we have conducted a comprehensive review on existing recently published methods for automatic choroidal segmentation algorithms.https://jbpe.sums.ac.ir/article_47091_d02e961ee7335f4fc88d7d70e93672d1.pdfchoroidoptical coherence tomography (oct)retinaophthalmology
spellingShingle Reza Alizadeh Eghtedar
Mahdad Esmaeili
Alireza Peyman
Mohammadreza Akhlaghi
Seyed Hossein Rasta
An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review
Journal of Biomedical Physics and Engineering
choroid
optical coherence tomography (oct)
retina
ophthalmology
title An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review
title_full An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review
title_fullStr An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review
title_full_unstemmed An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review
title_short An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review
title_sort update on choroidal layer segmentation methods in optical coherence tomography images a review
topic choroid
optical coherence tomography (oct)
retina
ophthalmology
url https://jbpe.sums.ac.ir/article_47091_d02e961ee7335f4fc88d7d70e93672d1.pdf
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