Automated detection of retinal layer structures on optical coherence tomography images
Automated detection of retinal layer structures on optical coherence tomography images
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DOI：
10.1364/opex.13.010200
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发表时间：
2005-12-12
期刊：
影响因子：
3.8
通讯作者：
Puliafito, CA
中科院分区：
文献类型：
--
作者：
Fernández, DC;Salinas, HM;Puliafito, CA
OCT 图像中视网膜层的分割是诊断视网膜疾病进展的基础。在这项研究中，我们表明，借助视网膜结构的局部相干信息，可以自动和/或交互地高精度地定位视网膜层。采用结构张量结合复杂扩散滤波的纹理分析思想对OCT图像进行处理。实验结果表明，我们提出的新方法在使用 STRATUSOCT (TM) 系统的视网膜各个细胞层的散斑噪声去除、增强和分割方面具有良好的性能。 (c) 2005 年美国光学学会。
Segmentation of retinal layers from OCT images is fundamental to diagnose the progress of retinal diseases. In this study we show that the retinal layers can be automatically and/or interactively located with good accuracy with the aid of local coherence information of the retinal structure. OCT images are processed using the ideas of texture analysis by means of the structure tensor combined with complex diffusion filtering. Experimental results indicate that our proposed novel approach has good performance in speckle noise removal, enhancement and segmentation of the various cellular layers of the retina using the STRATUSOCT (TM) system. (c) 2005 Optical Society of America.