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Alizadeh Eghtedar, Reza, Esmaeili, Mahdad, Peyman, Alireza, Akhlaghi, Mohammadreza, Rasta, Seyed Hossein. (1400). An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review. سامانه مدیریت نشریات علمی, 12(1), 1-20. doi: 10.31661/jbpe.v0i0.1234
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". سامانه مدیریت نشریات علمی, 12, 1, 1400, 1-20. doi: 10.31661/jbpe.v0i0.1234
Alizadeh Eghtedar, Reza, Esmaeili, Mahdad, Peyman, Alireza, Akhlaghi, Mohammadreza, Rasta, Seyed Hossein. (1400). 'An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review', سامانه مدیریت نشریات علمی, 12(1), pp. 1-20. doi: 10.31661/jbpe.v0i0.1234
Alizadeh Eghtedar, Reza, Esmaeili, Mahdad, Peyman, Alireza, Akhlaghi, Mohammadreza, Rasta, Seyed Hossein. An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review. سامانه مدیریت نشریات علمی, 1400; 12(1): 1-20. doi: 10.31661/jbpe.v0i0.1234

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

Journal of Biomedical Physics and Engineering
مقاله 1، دوره 12، شماره 1، اردیبهشت 2022، صفحه 1-20    اصل مقاله (1.92 M)
نوع مقاله: Review Article
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.1234
نویسندگان
Reza Alizadeh Eghtedar1؛ Mahdad Esmaeili2؛ Alireza Peyman3؛ Mohammadreza Akhlaghi3؛ Seyed Hossein Rasta* 2، 4، 5
1MSc, Department of Medical Bioengineering, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
2PhD, Department of Medical Bioengineering, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
3MD, Department of Ophthalmology, Isfahan University of Medical Sciences, Isfahan, Iran
4PhD, Department of Medical Physics, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
5PhD, Department of Biomedical Physics, School of Medical Sciences, University of Aberdeen, Aberdeen, UK
چکیده
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.
کلیدواژه‌ها
Choroid؛ Optical Coherence Tomography (OCT)؛ Retina؛ Ophthalmology
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