光学相干层析成像的视网膜层状结构自动分割  

Automated Segmentation of Retina Layer Structures on Optical Coherence Tomography

作　　者：高用贺[1] 李跃杰[1,2] 王立伟[1] 张明蓉[1] 

机构地区：[1]北京协和医学院中国医学科学院生物医学工程研究所,天津市300192 [2]天津市眼科医学设备技术工程中心,天津市300384

出　　处：《中国医疗器械杂志》2014年第2期94-97,101,共5页Chinese Journal of Medical Instrumentation

基　　金：中国医学科学院生物医学工程研究所院所基金(1312);天津科技创新体系及平台建设计划项目(13ZXGCCX06300)

摘　　要：目的利用算法实现对视网膜层状结构的自动分割及定量分析是光学相干层析成像技术应用于青光眼及视网膜病变早期诊断的关键。现存处理方法对图像质量要求较高且可靠性不高。该文拟利用改进的非线性复合扩散滤波等方法解决这个问题。方法首先对自主搭建的OCT系统获得的20幅视网膜图像,通过自动阈值、改进的非线性复合扩散滤波、形态学操作、峰值探测等综合算法,进行分割,比较准确的分割出内界膜(ILM)、外核层(ONL)、内节层和外节层(IS/OS)以及视网膜色素上皮与脉络膜层(RPE_ChCap)边界,最后测量得到视网膜的厚度。结果本算法对视网膜的分割与专家手动测量有较好的一致性,视网膜中心凹测量结果与Zeiss Stratus OCT视网膜中心厚度212±20μm数据一致。结论该文提出的算法有希望应用于临床视网膜疾病的诊断。Objective Using the algorithm on the layered structure of the retina and quantitative analysis of the automatic segmentation technique is the key to the early diagnosis of glaucoma and other retinopathy on optical coherence tomography. Existing methods require high qulity image and have low reliability. This paper used the improved complex nonlinear diffuse filtering and other methods to solve this problem. Methods This paper includes algorithm such as automatic threshold, improved complex nonlinear diffusion filtering, morphological operations and peak detection. Use the method for the segmentation of 20 retinal layers images which acquired on the self-builded OCT system, the boundary of inner limiting membrane（ILM）, outer nuclear layer（ONL）, the photoreceptor segments（IS/OS） and the RPE_ChCap layer are detected accurately. At last, the photoreceptor layer thickness is measured. Results The results of segmentation and measurement are good corresponded with expert manual segmentation and measurements, retinal foveal measurements data is consistent with Zeiss Stratus OCT central retinal thickness 212＆#177;20μm. Conclusion The algorithm proposed is prospective applied to clinical diagnosis of retinal diseases.

关 键 词：视网膜 光学相干层析 层状结构 非线性复扩散滤波 形态学操作 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]