期刊
BIOMEDICAL OPTICS EXPRESS
卷 9, 期 3, 页码 962-983出版社
Optica Publishing Group
DOI: 10.1364/BOE.9.000962
关键词
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资金
- National Basic Research Program of China (973 Program) [2014CB748600]
- National Natural Science Foundation of China (NSFC) [61622114, 61401294, 81401472, 61401293, 81371629]
- Natural Science Foundation of the Jiangsu Province [BK20140052]
Optic nerve head (ONH) is a crucial region for glaucoma detection and tracking based on spectral domain optical coherence tomography (SD-OCT) images. In this region, the existence of a hole structure makes retinal layer segmentation and analysis very challenging. To improve retinal layer segmentation, we propose a 3D method for ONH centered SD-OCT image segmentation, which is based on a modified graph search algorithm with a shared-hole and locally adaptive constraints. With the proposed method, both the optic disc boundary and nine retinal surfaces can be accurately segmented in SD-OCT images. An overall mean unsigned border positioning error of 7.27 +/- 5.40 mu m was achieved for layer segmentation, and a mean Dice coefficient of 0.925 +/- 0.03 was achieved for optic disc region detection. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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