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

7 Citations (Scopus)

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.

Original languageEnglish (US)
Article number#305458
Pages (from-to)5049-5064
Number of pages16
JournalBiomedical Optics Express
Volume8
Issue number11
DOIs
StatePublished - Nov 1 2017

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degeneration
Optical Coherence Tomography
Macular Degeneration
tomography
Bruch Membrane
epithelium
Retinal Pigment Epithelium
pigments
deposits
membranes
sensitivity

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

Cite this

Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography. / Zhao, Rui; Camino, Acner; Wang, Jie; Hagag, Ahmed M.; Lu, Yansha; Bailey, Steven; Flaxel, Christina; Hwang, Thomas; Huang, David; Li, Dengwang; Yali, Jia.

In: Biomedical Optics Express, Vol. 8, No. 11, #305458, 01.11.2017, p. 5049-5064.

Research output: Contribution to journalArticle

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