北京生物医学工程2011，Vol.30Issue(5)：452-456,5.DOI:10.3969/j.issn.1002-3208.2011.05.03
基于光学相干层析的视网膜图像分割
Retinal Image Segmentation with Optical Coherence Tomography
摘要
Abstract
With optical coherence tomography (OCX) , doctors can obtain clear tomography layer structures of retina. To automatically extract the contour of the retinal sub-layers through image segmentation is a basic issue to the application of OCX in retinal diseases diagnosis. A multi-step approach, which includes the filtering, peak detection, Snake model, greedy algorithm and spline interpolation, was devised. Therefore, we realized the automatic segmentation of retinal layers and quantitative measurement of the retinal thickness. The method was successfully applied on a database of 24 images of normal people' s eyes. The result, which the automated thickness measurements derived by this algorithm was compared with thickness measurements from manually marked boundaries, indicated that this method had a good agreement with manually marked method. In conclusion, the proposed approach is promising for investigating for retinal variability studies.关键词
光学相干层析/视网膜/层状结构/图像分割/Snake模型/贪婪算法Key words
optical coherence tomography/ retina/ layer structure/ image segmentation/ Snake model/ greedy algorithm分类
医药卫生引用本文复制引用
江源源,周传清,任秋实..基于光学相干层析的视网膜图像分割[J].北京生物医学工程,2011,30(5):452-456,5.基金项目
国家重点基础研究发展计划(2011CB707504,2010CB933903)、高等学校博士学科点专项科研基金(200802481029)、上海市科委科技基金(09JC1411902)、高等学校学科创新引智计划(B08020)资助 （2011CB707504,2010CB933903）
