Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography

利用多深度、正面光学相干断层扫描技术自动检测干性年龄相关性黄斑变性中的玻璃膜疣

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Abstract

We introduce a method to automatically detect drusen in dry age-related macular degeneration (AMD) from optical coherence tomography with minimum need for layer segmentation. The method is based on the en face detection of drusen areas in C-scans at certain distances above the Bruch's membrane, circumventing the difficult task of pathologic retinal pigment epithelium segmentation. All types of drusen can be detected, including the challenging subretinal drusenoid deposits (pseudodrusen). The high sensitivity and accuracy demonstrated here shows its potential for detection of drusen onset in early AMD.

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