Characterization of changes in Retinal Pigment Epithelium layer in Choroidal Neovascularization through analysis of Optical Coherence Tomographs

R. Prashanth, S. V. Paranjape, S. Ghosh, P. Dutta, J. Chatterjee
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引用次数: 3

Abstract

Choroidal Neo-Vascularization (CNV) is a form of Age related Macular Degeneration (AMD) which leads to severe central vision loss. Therefore, it is needed to analyze the alterations that occur during CNV by quantification of the changing parameters. In CNV, the Retinal Pigment Epithelium (RPE) layer undergoes many changes and could be recorded by Optical Coherence Tomography (OCT). The highly reflective band, corresponding to the RPE and choriocapillaries visible in an OCT image, shows a fusiform thickening, loss of linearity, and disruption in CNV due to proliferation of new abnormal blood vessels there. This study characterizes the CNV related changes in the RPE layer. Initially by image processing, the RPE layer is segmented out and quantification of the features related to the mentioned changes is done through computing the Euler number, thickness standard deviation, mean thickness, maximum thickness and area of the RPE layer. There is a notable increase in the Euler number, thickness standard deviation, and maximum thickness during CNV.
通过光学相干断层扫描分析脉络膜新生血管中视网膜色素上皮层变化的特征
脉络膜新生血管形成(CNV)是年龄相关性黄斑变性(AMD)的一种形式,可导致严重的中央视力丧失。因此,需要通过量化变化参数来分析CNV过程中发生的变化。在CNV中,视网膜色素上皮(RPE)层发生了许多变化,可以通过光学相干断层扫描(OCT)记录。高反射带,对应于OCT图像中可见的RPE和绒毛膜毛细血管,显示纺梭状增厚,线性丧失,CNV由于新的异常血管增殖而中断。本研究表征了RPE层CNV相关的变化。首先通过图像处理对RPE层进行分割,通过计算RPE层的欧拉数、厚度标准差、平均厚度、最大厚度和面积,对上述变化的相关特征进行量化。在CNV过程中,欧拉数、厚度标准差和最大厚度均显著增加。
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