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A proposal of extracting retinal boundaries for optical coherence tomography using three dimensional active grid

机译:使用三维活动网格提取光学相干断层扫描的视网膜边界的提议

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Three dimensional process could improve the extraction rate in comparison with two dimensional process. We propose a new three dimensional active grid for extraction of retinal boundaries on optical coherence tomography. Ophthalmologist desire a system that can measure retinal thickness automatically for quantitative evaluation on retinal diseases. Conventional method tried extract boundaries of retinal layer i.e. inner limiting membrane (ILM) and retinal pigment epithelium (RPE)). The boundaries in normal retina are extracted almost completely. However, extracted boundaries in disease retina included some errors. Therefore we propose a new method for extracting the boundaries of retinal layer from three-dimensional optical coherence tomography (OCT) images. We use 3D active grid which is dynamic shape model. This paper applied the proposed method to 22 OCT image sets (10 sets of normal retinal images and 12 sets of disease retinal images). Retinal thickness in normal retinal images are obtained by accuracy of 97.54 %, and those in disease retinal images are done by accuracy of 72.32 % compared with the judgment of medical doctor. The proposed method is indicated as an efficient method for extraction of retinal border lines.
机译:与二维过程相比,三维过程可以提高提取率。我们提出了一种新的三维主动网格,用于提取光学相干断层扫描的视网膜边界。眼科医生渴望一种可以自动测量视网膜厚度的系统以进行视网膜疾病的定量评估。常规方法试图提取视网膜层的边界I.。内部限制膜(ILM)和视网膜色素上皮(RPE))。几乎完全提取正常视网膜中的边界。然而,疾病视网膜中提取的边界包括一些误差。因此,我们提出了一种从三维光学相干断层扫描(OCT)图像中提取视网膜层边界的新方法。我们使用3D Active Grid,它是动态形状模型。本文将所提出的方法应用于22个OCT图像集(10组正常视网膜图像和12组疾病视网膜图像)。正常视网膜图像中的视网膜厚度是通过97.54%的精度获得的,并且与医生判断相比,疾病视网膜图像中的疾病视网膜图像的准确性进行了72.32%。所提出的方法表示为提取视网膜边界线的有效方法。

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