基于黄斑距离优化的视网膜OCT图像层次分割方法

doi:10.11959/j.issn.1000-436x.2017087

通信学报 ›› 2017, Vol. 38 ›› Issue (4): 158-165.doi: 10.11959/j.issn.1000-436x.2017087

基于黄斑距离优化的视网膜OCT图像层次分割方法

李建锋¹,鲁易周²

¹ 吉首大学信息科学与工程学院，湖南吉首 416000
² 中南大学信息科学与工程学院，湖南长沙 410083

修回日期:2017-03-10 出版日期:2017-04-01 发布日期:2017-07-20
作者简介:李建锋（1979-），男，土家族，湖南张家界人，博士，吉首大学副教授、硕士生导师，主要研究方向为医学图像处理。|鲁易周（1994-），男，浙江绍兴人，主要研究方向为医学图像处理。
基金资助:
国家自然科学基金资助项目(61562029);国家自然科学基金资助项目(61262032);湖南省自然科学基金资助项目(2015JJ3100)

Optimum hierarchical segmentation of OCT images in retina based on macular distance

Jian-feng LI¹,Yi-zhou LU²

¹ College of Information Science and Engineering,Jishou University,Jishou 416000,China
² School of Information Science and Engineering,Central South University,Changsha 410083,China

Revised:2017-03-10 Online:2017-04-01 Published:2017-07-20
Supported by:
The National Natural Science Foundation of China(61562029);The National Natural Science Foundation of China(61262032);The Natural Science Foundation of Hunan Province(2015JJ3100)

摘要/Abstract

摘要：

视网膜分层是视盘结构三维分析、青光眼三维特征提取的基础，为改善视网膜 OCT 图像的层次分割效果，提出了一个基于强度的二维视网膜黄斑 OCT 图像多层结构分割算法。分割方法通过预处理、滤波等操作，计算出视网膜OCT图像中每个A-scan的强度和强度梯度值，能很好地分割出视网膜OCT图像中的RNFL上界、IS和OS分界线、RPE层下界等，并用最短距离计算的黄斑距离策略对黄斑部位分层结果进行再优化，从而实现视网膜OCT图像的层次分割。实验结果表明，所提算法优化效果好，时间复杂度低，运行速度较快。

关键词: 视网膜, 黄斑, 光学相干断层扫描, 图像分割

Abstract:

Retina layering was the basis of optic disc structure analysis and 3D feature extraction of glaucoma.In order to improve the layering effect of retinal OCT images,an intensity based multilayer segmentation algorithm for two-dimensional retinal OCT images was proposed.Through preprocessing and filtering operation,the segmentation algorithm calculated the intensity and intensity gradient of each A-scan in the retinal OCT image to obtain the upper bound RNFL,the dividing line IS and OS,and the lower bound RPE.Then macular distance strategy,calculated by the shortest distance,was used to further optimize the layering result of macular area,so as to achieve layering segmentation of the retinal OCT images.The experimental results show the algorithm has good optimization effect,low time complexity and fast running speed.

Key words: retina, macular, optical coherence tomography, image segmentation

中图分类号:

TP391.41

李建锋,鲁易周. 基于黄斑距离优化的视网膜OCT图像层次分割方法[J]. 通信学报, 2017, 38(4): 158-165.

Jian-feng LI,Yi-zhou LU. Optimum hierarchical segmentation of OCT images in retina based on macular distance[J]. Journal on Communications, 2017, 38(4): 158-165.

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参考文献 12

[1]	HUANG D , SWANSON E A , LIN C P ,et al. Optical coherence tomography[J]. Science, 1991,254(5035): 1178-1181.
[2]	王玉萍 . 基于OCT图像的青光眼病变定量分析研究[D]. 南京理工大学, 2015.
	WANG Y P . Quantitative analysis of glaucoma lesions based on OCT images[D]. Nanjing University of Science and Technology, 2015.
[3]	SHI F , CHEN X , ZHAO H ,et al. Automated 3-D retinal layer segmentation of macular optical coherence tomography images with serous pigment epithelial detachments[J]. IEEE Transactions on Medical Imaging, 2015,34(2): 441-452.
[4]	贺琪欲, 李中梁, 王向朝 ,等. 基于光学相干层析成像的视网膜图像自动分层方法[J]. 光学学报, 2016(10): 71-80.
	HE Q Y , LI Z L , WANG X C ,et al. Auto mated retinal layer segmentation based on optical coherence tomographic images[J]. Acta Optica Sinica, 2016(10): 71-80.
[5]	王玉萍, 陈强, 陆圣陶 ,等. 分类法定量评估频谱光学相干层析图像杯盘比[J]. 计算机辅助设计与图形学学报, 2015,27(8): 1539-1547.
	WANG Y P , CHEN Q , LU S T ,et al. Classification based quantitative assessment of cup-to-disk ratio in spectral domain optical coherence tomography images[J]. Journal of Computer-Aided Design ＆ Computer Graphics, 2015,27(8): 1539-1547.
[6]	SONKA M , ABRàMOFF M D . Quantitative analysis of retinal OCT[J]. Medical Image Analysis, 2016,33: 165-169.
[7]	LIU Q , ZOU B , CHEN J ,et al. A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images[J]. Computerized Medical Imaging and Graphics, 2017,55(1): 78-86.
[8]	CHEN X , HOU P , JIN C ,et al. Quantitative analysis of retinal layer optical intensities on three-dimensional optical coherence tomography[J]. Investigative Ophthalmology ＆ Visual Science, 2013,5(10): 6846-51
[9]	CHEN X , ZHANG L , SOHN E H ,et al. Quantification of external limiting membrane disruption caused by diabetic macular edema from SD-OCT quantification of ELM Disruption in DME from SD-OCT[J]. Investigative Ophthalmology ＆ Visual Science, 2012,53(13): 8042-8048.
[10]	肖志涛, 冯铁君, 张芳 ,等. 基于角点保护的偏微分方程图像插值方法[J]. 电子与信息学报, 2015,37(8): 1892-1899.
	XIAO Z T , FENG T J , ZHANG F ,et al. Image interpolation with corner preserving based on partial differential equation[J]. Journal of Electronics ＆ Information Technology, 2015,37(8): 1892-1899.
[11]	GILBOA G , SOCHEN N , ZEEVI Y Y . Image enhancement and denoising by complex diffusion processes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004,26(8): 1020-1036.
[12]	GILBOA G , SOCHEN N A , ZEEVI Y Y . Regularized shock filters and complex diffusion[C]// European Conference on Computer Vision. Springer Berlin Heidelberg, 2002: 399-413.

基于黄斑距离优化的视网膜OCT图像层次分割方法

Optimum hierarchical segmentation of OCT images in retina based on macular distance

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