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

机译:利用三维主动网格提取视网膜边界用于光学相干断层扫描的建议

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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:与二维处理相比,三维处理可以提高提取率。我们提出了一种新的三维主动网格,用于在光学相干断层扫描上提取视网膜边界。眼科医生需要一种能够自动测量视网膜厚度以对视网膜疾病进行定量评估的系统。常规方法尝试提取视网膜层的边界,即内部限制膜(ILM)和视网膜色素上皮(RPE)。正常视网膜的边界几乎完全被提取。但是,疾病视网膜中提取的边界包括一些错误。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活动网格,它是动态形状模型。本文将该方法应用于22个OCT图像集(10个正常视网膜图像和12个疾病视网膜图像)。与医生的判断相比,正常视网膜图像中的视网膜厚度的准确度为97.54%,疾病视网膜图像中的视网膜厚度的准确度为72.32%。该方法被认为是提取视网膜边界线的有效方法。

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