Reconstructing foveal pit morphology from optical coherence tomography imaging
Reconstructing foveal pit morphology from optical coherence tomography imaging
复制标题
DOI：
10.1136/bjo.2008.150110
复制
发表时间：
2009-09-01
影响因子：
4.1
通讯作者：
Carroll, J.
中科院分区：
文献类型：
--
作者：
Dubis, A. M.;McAllister, J. T.;Carroll, J.
目的：本研究的目的是描述一种自动化的方法，用于提取定量测量的中央凹形态的光学相干断层扫描（OCT）图像的人retina.Methods：我们进行了方法学研究和回顾性调查选定的情况下。包括65名人类受试者：61名健康受试者和4名蓝锥单色性（blue-cone monochromacy，简称blue-cone monochromacy）女性携带者。将来自穿过中央凹凹坑的B扫描的厚度数据拟合到设计用于捕获中央凹表面的轮廓的数学模型。从这个模型中，各种指标的中央凹形态提取（坑深，直径和斜率）。结果：中央凹形态的数学描述，使定量和客观的评价中央凹尺寸从存档的OCT数据集。我们发现，在所有方面的凹坑（深度，直径和斜率）的变化很大。在近视和近视携带者，凹窝略深，有一个更浅的斜率，虽然这些差异并不显着。结论：离线分析OCT数据集，使定量评估的凹形态。该算法适用于Stratus（TM）和Cirrus（TM）黄斑厚度协议，以及Spectralis（R）和Bioptigen（c）径向线扫描协议，并且可以客观地应用于现有数据集。这些指标将是有用的，在以下的变化与疾病，如早产儿视网膜病变和高度近视，以及在研究正常的产后发育的人类中央凹。
Aim: The aim of this study was to describe an automated method for extracting quantitative measures of foveal morphology from optical coherence tomography (OCT) images of the human retina.Methods: We performed a methodological study and retrospective investigation of selected cases. Sixty-five human subjects were included: 61 healthy subjects and four female carriers of blue-cone monochromacy (BCM). Thickness data from B-scans traversing the foveal pit were fitted to a mathematical model designed to capture the contour of the foveal surface. From this model, various metrics of foveal morphology were extracted (pit depth, diameter and slope).Results: Mathematical descriptions of foveal morphology enabled quantitative and objective evaluation of foveal dimensions from archived OCT data sets. We found a large variation in all aspects of the foveal pit (depth, diameter and slope). In myopes and BCM carriers, foveal pits were slightly less deep and had a more shallow slope, although these differences were not significant.Conclusions: Offline analysis of OCT data sets enables quantitative assessment of foveal morphology. The algorithm works on the Stratus (TM) and Cirrus (TM) macular thickness protocols, as well as the Spectralis (R) and Bioptigen (c) radial-line scan protocols, and can be objectively applied to existing data sets. These metrics will be useful in following changes associated with diseases such as retinopathy of prematurity and high myopia, as well as in studying normal postnatal development of the human fovea.