基于黄斑距离优化的视网膜OCT图像层次分割方法

doi:10.11959/j.issn.1000-436x.2017087

Abstract

Abstract:

Retina layering was the basis of optic disc structure analysis and 3D feature extraction of glaucoma.In order to improve the layering effect of retinal OCT images,an intensity based multilayer segmentation algorithm for two-dimensional retinal OCT images was proposed.Through preprocessing and filtering operation,the segmentation algorithm calculated the intensity and intensity gradient of each A-scan in the retinal OCT image to obtain the upper bound RNFL,the dividing line IS and OS,and the lower bound RPE.Then macular distance strategy,calculated by the shortest distance,was used to further optimize the layering result of macular area,so as to achieve layering segmentation of the retinal OCT images.The experimental results show the algorithm has good optimization effect,low time complexity and fast running speed.

Key words: retina, macular, optical coherence tomography, image segmentation

CLC Number:

TP391.41

Jian-feng LI,Yi-zhou LU. Optimum hierarchical segmentation of OCT images in retina based on macular distance[J]. Journal on Communications, 2017, 38(4): 158-165.

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References 12

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