| Literature DB >> 29188102 |
Rui Zhao1,2,3, Acner Camino1,3, Jie Wang1, Ahmed M Hagag1, Yansha Lu1,2, Steven T Bailey1, Christina J Flaxel1, Thomas S Hwang1, David Huang1, Dengwang Li2,4, Yali Jia1,5.
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.Entities:
Keywords: (100.6890) Three-dimensional image processing; (170.1610) Clinical applications; (170.4470) Ophthalmology; (170.4500) Optical coherence tomography
Year: 2017 PMID: 29188102 PMCID: PMC5695952 DOI: 10.1364/BOE.8.005049
Source DB: PubMed Journal: Biomed Opt Express ISSN: 2156-7085 Impact factor: 3.732