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Spectral domain optical coherence tomography for in-vivo three-dimensional retinal imaging of small animals

机译:用于小型动物的体内三维视网膜成像的光谱域光学相干断层扫描

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The purpose of this study is to demonstrate the application of ultrahigh-resolution Spectral Domain Optical Coherence Tomography (SD-OCT) for non contact in vivo imaging of the retina of small animals and quantitative retinal information extraction using 3D segmentation of the OCT images. An ultrahigh-resolution SD-OCT system was specifically designed for in vivo retinal imaging of small animal. En face fundus image was constructed from the measured OCT data, which enables precise registration of the OCT images on the fundus. 3D segmentation algorithms were developed for the calculation of retinal thickness map. High quality OCT images of the retina of mice (B6/SJLF2 for normal retina, Rho-/- for photoreceptor degeneration and LHBETATAG for retinoblastoma) and rats (Wistar for normal retina) were acquired, where all the retinal layers can be clearly recognized. The calculated retinal thickness map makes successful quantitative comparison of the retinal thickness distribution between normal and degenerative mouse retina. The capabilities of the OCT system provide a valuable tool for longitudinal studies of small animal models of ocular diseases.
机译:本研究的目的是展示超高分辨率光谱域光学相干断层扫描(SD-OCT)在小动物视网膜的体内成像中的非接触的应用,以及使用OCT图像的3D分割的定量视网膜信息提取。超高分辨率SD-OCT系统专为小型动物的体内视网膜成像而设计。 EN面罩图像由测量的OCT数据构建,可使OCT图像精确登记在眼底上。开发了3D分段算法用于计算视网膜厚度图。获得了小鼠视网膜的高质量OCT图像(正常视网膜的B6 / SJLF2,RHO / / - 用于视网膜母细胞瘤的rhbetaTAG)和大鼠(正常视网膜的Wistar),可以清楚地识别所有视网膜层。计算的视网膜厚度图成功地进行了正常和退行性小鼠视网膜之间视网膜厚度分布的定量比较。 OCT系统的能力为眼部疾病的小动物模型提供了一个有价值的纵向研究工具。

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