Study on intra-retinal layers imaged with ultra - high resolution optical coherence tomography
10.3980/j.issn.1672-5123.2014.08.35
- VernacularTitle:基于超高分辨率OCT图像的视网膜层状结构研究
- Author:
Su-Zhong, XU
;
Sheng-Hai, HUANG
;
Qing-Kai, MA
;
De-Xi, ZHU
;
Mei-Xiao, SHEN
- Publication Type:Journal Article
- Keywords:
optical coherence tomography images;
intra-retinal layers;
image segmentation;
shortest path
- From:
International Eye Science
2014;(8):1494-1497
- CountryChina
- Language:Chinese
-
Abstract:
To evaluate the automated segmentation algorithm for detection of intra - retinal layers to process images obtained from ultra- high resolution optical coherence tomography ( OCT ) . Graph theory and the shortest path search based on dynamic programming were applied to automatically segment the 8 intra - retinal layers. We experimentally verified the accuracy and reliability of the algorithm. The results showed that the intra-retinal layer boundaries between automated and manual segmentations matched well. The algorithm successfully segmented the intra- retinal layers in glaucoma, high myopia, and retinitis pigmentosa patients. The proposed automatic segmentation for intra-retinal layers provides a promising tool for quantitative analysis in clinical diagnosis and treatment.
