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首页> 外文期刊>Acta ophthalmologica >A strategy for OCT OCT estimation of the optic nerve head pigment epithelium central limit‐inner limit of the retina minimal distance, PIMD PIMD ‐2 π π
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A strategy for OCT OCT estimation of the optic nerve head pigment epithelium central limit‐inner limit of the retina minimal distance, PIMD PIMD ‐2 π π

机译：OCT OCT估计视神经头颜料的策略上皮 - 视网膜的内部极限最小距离，PIMD PIMD-2ππ

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Abstract Purpose To develop a semi‐automatic algorithm for estimation of pigment epithelium central limit‐inner limit of the retina minimal distance averaged over 2 π ?radians ( PIMD ‐2 π ) and to estimate the precision of the algorithm. Further, the variances in estimates of PIMD ‐2 π were to be estimated in a pilot sample of glaucomatous eyes. Methods Three‐dimensional cubes of the optic nerve head ( ONH ) were captured with a commercial SD ‐ OCT device. Raw cube data were exported for semi‐automatic segmentation. The inner limit of the retina was automatically detected. Custom software aided the delineation of the ONH pigment epithelium central limit resolved in 500 evenly distributed radii. Sources of variation in PIMD estimates were analysed with an analysis of variance. Results The estimated variance for segmentations and angles was 130? μ m 2 and 1280? μ m 2 , respectively. Considering averaging eight segmentations, a 95?% confidence interval for mean PIMD ‐2 π was estimated to 212?±?10? μ m (df?=?7). The coefficient of variation for segmentation was estimated at 0.05. In the glaucomatous eyes, the within‐subject variance for captured volumes and for segmentations within volumes was 10? μ m 2 and 50? μ m 2 , respectively. Conclusion The developed semi‐automatic algorithm enables estimation of PIMD ‐2 π in glaucomatous eyes with relevant precision using few segmentations of each captured volume.
机译：摘要目的是开发半自动算法，用于估计颜料上皮内部极限 - 视网膜最小距离的内部极限在2π的平均值（PIMD-2π）和估计算法的精度。此外，PIMD-2π估计的差异将被估计在青光眼眼睛的试验样品中。方法使用商业SD-OCT设备捕获视神经头（ONH）的三维立方体。原始的多维数据集数据被导出为半自动分段。视网膜的内部限制自动检测。定制软件辅助在500个均匀分布的半径中解析的ONH颜料上皮细胞界的描绘。通过分析方差分析PIMD估计变异源。结果分割和角度的估计方差是130？ μM2和1280？分别为μm2。考虑到平均八个分割，估计平均pimd-2π的95倍置信区间估计为212？±10？ μm（df？=？7）。分段的变异系数估计为0.05。在青光眼的眼睛中，捕获量和体积内分割的对象内差异为10？ μm2和50？分别为μm2。结论开发的半自动算法能够使用每个捕获量的几个分割的相关精度来估计GlaucoMatous眼中的PIMD-2π。

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