Automated segmentation of nine retinal layers with layer thickness information on SD-OCT images

Xiaoming Liu; Jia Wang; Zhou Yang; Wei Hu

doi:10.1117/12.2244637

29 August 2016 Automated segmentation of nine retinal layers with layer thickness information on SD-OCT images

Xiaoming Liu, Jia Wang, Zhou Yang, Wei Hu

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100331G (2016) https://doi.org/10.1117/12.2244637
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

Changes in the structure of the retina can reflect a variety of pathological physiological changes. To analyze the structural characteristics of the retina layers, an automated segmentation algorithm of retinal layers was developed. This algorithm, based on the Dijkstra's algorithm, limiting the search region with statistics information of layer thickness information, constructs a graph from every 2D OCT image and use a shortest path algorithm to iteratively segment multiple layers. The experiments showed that this segmentation algorithm has great repeatability, accuracy, and high efficiency.

Citation Download Citation

Xiaoming Liu, Jia Wang, Zhou Yang, and Wei Hu "Automated segmentation of nine retinal layers with layer thickness information on SD-OCT images", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331G (29 August 2016); https://doi.org/10.1117/12.2244637

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