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Journal of Biomedical Optics

Automated framework for intraretinal cystoid macular edema segmentation in three-dimensional optical coherence tomography images with macular hole
Author(s): Weifang Zhu; Li Zhang; Fei Shi; Dehui Xiang; Lirong Wang; Jingyun Guo; Xiaoling Yang; Haoyu Chen; Xinjian Chen
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Paper Abstract

Cystoid macular edema (CME) and macular hole (MH) are the leading causes for visual loss in retinal diseases. The volume of the CMEs can be an accurate predictor for visual prognosis. This paper presents an automatic method to segment the CMEs from the abnormal retina with coexistence of MH in three-dimensional-optical coherence tomography images. The proposed framework consists of preprocessing and CMEs segmentation. The preprocessing part includes denoising, intraretinal layers segmentation and flattening, and MH and vessel silhouettes exclusion. In the CMEs segmentation, a three-step strategy is applied. First, an AdaBoost classifier trained with 57 features is employed to generate the initialization results. Second, an automated shape-constrained graph cut algorithm is applied to obtain the refined results. Finally, cyst area information is used to remove false positives (FPs). The method was evaluated on 19 eyes with coexistence of CMEs and MH from 18 subjects. The true positive volume fraction, FP volume fraction, dice similarity coefficient, and accuracy rate for CMEs segmentation were 81.0%±7.8%, 0.80%±0.63%, 80.9%±5.7%, and 99.7%±0.1%, respectively.

Paper Details

Date Published: 21 July 2017
PDF: 9 pages
J. Biomed. Opt. 22(7) 076014 doi: 10.1117/1.JBO.22.7.076014
Published in: Journal of Biomedical Optics Volume 22, Issue 7
Show Author Affiliations
Weifang Zhu, Soochow Univ. (China)
Li Zhang, Soochow Univ. (China)
Fei Shi, Soochow Univ. (China)
Dehui Xiang, Soochow Univ. (China)
Lirong Wang, Soochow Univ. (China)
Jingyun Guo, Soochow Univ. (China)
Xiaoling Yang, Soochow Univ. (China)
Haoyu Chen, Joint Shantou International Eye Ctr. (China)
The Chinese Univ. of Hong Kong (China)
Xinjian Chen, Soochow Univ. (China)

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