Alizadeh Eghtedar Reza, Esmaeili Mahdad, Peyman Alireza, Akhlaghi Mohammadreza, Rasta Seyed Hossein
MSc, Department of Medical Bioengineering, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
PhD, Department of Medical Bioengineering, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
J Biomed Phys Eng. 2022 Feb 1;12(1):1-20. doi: 10.31661/jbpe.v0i0.1234. eCollection 2022 Feb.
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.
脉络膜是结构层之一，位于巩膜和视网膜之间，在眼睛生理学中发挥着重要作用。该层的分割可以指导眼科医生诊断大多数眼部疾病，如脉络膜肿瘤和息肉样脉络膜血管病变。光谱域光学相干断层扫描（SD-OCT）中的高信噪比和高速成像使脉络膜成像成为可能。术前眼轴长度（AXL）、一天中的时间和年龄等几个变量会影响脉络膜血管化的厚度，在对该层进行分割时应予以考虑。目前，大多数眼科专家手动分割脉络膜层，这既耗时又费力，还容易出现人为误差。为克服这些困难，一些研究引入了不同的自动脉络膜分割方法。在本文中，我们对最近发表的现有自动脉络膜分割算法方法进行了全面综述。
