Automated segmentation of optical coherence tomography images

• 来源期刊: 中国光学快报（英文版）
• 年，卷（期）: 2019,（1）
• 页码范围: 62-67
• 页数: 6页
• 语种: 英文
• DOI: 10.3788/COL201917.011701

摘要

We propose a fast and accurate automated algorithm to segment retinal pigment epithelium and internal limiting membrane layers from spectral domain optical coherence tomography (SDOCT) B-scan images.A hybrid algorithm,which combines intensity thresholding and graph-based algorithms,was used to process and analyze SDOCT radial scans (120 B scans) images obtained from twenty patients.The relative difference in position of the layers segmented by the proposed hybrid algorithm and by the clinical expert was 1.49％ ± 0.01％.The processing time of the hybrid algorithm was 9.3 s for six B scans.Dice's coefficient of the hybrid algorithm was 96.7％ ± 1.6％.The proposed hybrid algorithm for the segmentation of SDOCT images had good agreement with manual segmentation and reduced processing time.