29 August 2016 Automated segmentation of nine retinal layers with layer thickness information on SD-OCT images
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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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoming Liu, Xiaoming Liu, Jia Wang, Jia Wang, Zhou Yang, Zhou Yang, Wei Hu, 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); doi: 10.1117/12.2244637; https://doi.org/10.1117/12.2244637
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