Journal
OPTICS EXPRESS
Volume 23, Issue 7, Pages 8974-8994Publisher
OPTICAL SOC AMER
DOI: 10.1364/OE.23.008974
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Funding
- Six Talent Peaks Project in Jiangsu Province [2014-SWYY-024]
- National Basic Research Program of China (973 Program) [2013CB967500]
- Fundamental Research Funds for the Central Universities [30920140111004]
- Qing Lan Project [D040201]
- National Natural Science Foundation of China [81070743/81001427]
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The choroid is an important structure of the eye and plays a vital role in the pathology of retinal diseases. This paper presents an automated choroid segmentation method for high-definition optical coherence tomography (HD-OCT) images, including Bruch's membrane (BM) segmentation and choroidal-scleral interface (CSI) segmentation. An improved retinal nerve fiber layer (RNFL) complex removal algorithm is presented to segment BM by considering the structure characteristics of retinal layers. By analyzing the characteristics of CSI boundaries, we present a novel algorithm to generate a gradual intensity distance image. Then an improved 2-D graph search method with curve smooth constraints is used to obtain the CSI segmentation. Experimental results with 212 HD-OCT images from 110 eyes in 66 patients demonstrate that the proposed method can achieve high segmentation accuracy. The mean choroid thickness difference and overlap ratio between our proposed method and outlines drawn by experts was 6.72 mu m and 85.04%, respectively. (C) 2015 Optical Society of America
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