Automated Retinal Layer Segmentation Based on Optical Coherence Tomographic Images

CORC > 上海光学精密机械研究所 > 中国科学院上海光学精密机械研究所 > 信息光学与光电技术实验室

	Automated Retinal Layer Segmentation Based on Optical Coherence Tomographic Images
	Lu Y(卢宇); Nan N(南楠); Wang XC(王向朝); Li ZL(李中梁); He QY(贺琪欲)
刊名	光学学报
	2016
卷号	36 期号:10 页码:1011003
通讯作者	qiyuhe@hotmail.com ; lizhongliang@siom.ac.cn
中文摘要	利用光学相干层析成像(OCT)获得视网膜图像并对其进行分层,进而获得各视网膜层的厚度,在许多眼科疾病的临床诊断中具有重要作用。高散斑噪声、低图像对比度、存在血管等复杂结构等因素使得对视网膜的精确分层难以实现。提出了一种视网膜OCT图像的自动分层方法,利用三维块匹配和均值滤波去噪对图像进行预处理,分两步对视网膜图像分层,在每个A扫描上设置可变阈值进行逐层分割作为初步分层结果,然后对各层的初步分层结果进行连续性和完整性判断和修正。对健康和患病视网膜的OCT图像进行分层以验证提出方法的有效性。实验结果显示该方法
英文摘要	Segmentation of retinal images obtained by optical coherence tomography (OCT) and retinal thickness measurement has become an important clinical diagnostic tool for many diseases in ophthalmology. However, such factors as speckle noise, low image contrast, and irregularly shaped structural features including blood vessels make it difficult to segment retinal layers accurately. An automated retinal layer segmentation method is proposed by employing block-matching and 3D filtering along with mean filtering for preprocessing and a two-step optimal search. The two-step optimal search begins with individual retinal layer segmentation by setting a variable threshold on each A-scan as initial results, which are then checked and corrected for continuity and integrity. The performance of the proposed method is tested on a set of OCT retinal images acquired from healthy people and patients. The experimental results show that the proposed method provides accurate segmentation of nine retinal layers whose mean boundary position deviation is (1.340. 24) pixel. The method can be applied to OCT images affected by speckle noise, low image contrast, and even irregularly shaped structural features such as blood vessels.
收录类别	CSCD
资助信息	上海市科学技术委员会创新行动计划
CSCD记录号	CSCD:5829291
WOS记录号	CSCD:5829291
内容类型	期刊论文
源URL	[http://ir.siom.ac.cn/handle/181231/27489]
专题	上海光学精密机械研究所_信息光学与光电技术实验室
作者单位	中国科学院上海光学精密机械研究所
推荐引用方式 GB/T 7714	Lu Y,Nan N,Wang XC,et al. Automated Retinal Layer Segmentation Based on Optical Coherence Tomographic Images[J]. 光学学报,2016,36(10):1011003.
APA	卢宇,南楠,王向朝,李中梁,&贺琪欲.(2016).Automated Retinal Layer Segmentation Based on Optical Coherence Tomographic Images.光学学报,36(10),1011003.
MLA	卢宇,et al."Automated Retinal Layer Segmentation Based on Optical Coherence Tomographic Images".光学学报 36.10(2016):1011003.