Optical Coherence Tomography (OCT) Device Independent Intraretinal Layer Segmentation
Optical Coherence Tomography (OCT) Device Independent Intraretinal Layer Segmentation
复制标题
DOI：
10.1167/tvst.3.1.1
复制
发表时间：
2014-01-01
影响因子：
3
通讯作者：
Lorenz, Birgit
中科院分区：
文献类型：
--
作者：
Ehnes, Alexander;Wenner, Yaroslava;Lorenz, Birgit
目的：开发和测试一种分割视网膜内层的算法，该算法与实际使用的光学相干断层扫描（OCT）设备无关。方法：基于图论优化算法。该算法的性能分别与三位专家评分者对50次和41次b扫描视网膜层组的无符号边界位置差和厚度测量进行了评估。使用Spectralis和Stratus OCT分别对10名健康受试者进行了30次c扫描，测试了算法的重复性。对21名健康受试者进行了84次c扫描（体积或径向扫描），评估了不同设备之间的可比性，每个受试者使用Spectralis OCT进行了两次扫描。每位受试者分别使用Stratus OCT和RTVue100 OCT进行一次扫描。每次c扫描被分割，并测量糖尿病视网膜病变早期治疗研究（ETDRS）网格切片中每层视网膜的平均厚度。结果：该算法能够分割多达11个视网膜层。该算法的测量值在单个评分者的95%置信区间内，差异小于专家评分者之间的个体间差异。三种OCT设备对etdrs -栅格相关层厚度的跨设备检测高度一致。该算法正确分割了x连锁色素性视网膜炎患者的c扫描。结论：该分割软件提供了与设备无关的、可靠的、可重复的视网膜内层分析，类似于专家评分者所获得的分析。
Purpose: To develop and test an algorithm to segment intraretinal layers irrespectively of the actual Optical Coherence Tomography (OCT) device used. Methods: The developed algorithm is based on the graph theory optimization. The algorithm's performance was evaluated against that of three expert graders for unsigned boundary position difference and thickness measurement of a retinal layer group in 50 and 41 B-scans, respectively. Reproducibility of the algorithm was tested in 30 C-scans of 10 healthy subjects each with the Spectralis and the Stratus OCT. Comparability between different devices was evaluated in 84 C-scans (volume or radial scans) obtained from 21 healthy subjects, two scans per subject with the Spectralis OCT, and one scan per subject each with the Stratus OCT and the RTVue100 OCT. Each C-scan was segmented and the mean thickness for each retinal layer in sections of the early treatment of diabetic retinopathy study (ETDRS) grid was measured. Results: The algorithm was able to segment up to 11 intraretinal layers. Measurements with the algorithm were within the 95% confidence interval of a single grader and the difference was smaller than the interindividual difference between the expert graders themselves. The cross-device examination of ETDRS-grid related layer thicknesses highly agreed between the three OCT devices. The algorithm correctly segmented a C-scan of a patient with X-linked retinitis pigmentosa. Conclusions: The segmentation software provides device-independent, reliable, and reproducible analysis of intraretinal layers, similar to what is obtained from expert graders.