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

Rui Zhao, Acner Camino, Jie Wang, Ahmed M. Hagag, Yansha Lu, Steven Bailey, Christina Flaxel, Thomas Hwang, David Huang, Dengwang Li, Jia Yali

Research output: Contribution to journalArticle

11 Scopus citations


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.

Original languageEnglish (US)
Article number#305458
Pages (from-to)5049-5064
Number of pages16
JournalBiomedical Optics Express
Issue number11
StatePublished - Nov 1 2017


ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

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