Automated Segmentation of Retina Layer Structures on Optical Coherence Tomography
10.3969/j.issn.1671-7104.2014.02.004
- VernacularTitle:光学相干层析成像的视网膜层状结构自动分割
- Author:
Yonghe GAO
1
;
Yuejie LI
;
Liwei WANG
;
Mingrong ZHANG
Author Information
1. 北京协和医学院中国医学科学院生物医学工程研究所
- Keywords:
retina;
optical coherence tomography;
layer structure;
nonlinear complex diffusion filtering;
morphological operations
- From:
Chinese Journal of Medical Instrumentation
2014;(2):94-97,101
- CountryChina
- Language:Chinese
-
Abstract:
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±20μm. Conclusion The algorithm proposed is prospective applied to clinical diagnosis of retinal diseases.
