Advanced image processing for optical coherence tomographic angiography of macular diseases

Miao Zhang, Jie Wang, Alex D. Pechauer, Thomas S. Hwang, Simon S. Gao, Liang Liu, Li Liu, Steven T. Bailey, David J. Wilson, David Huang, Yali Jia

Research output: Contribution to journalArticlepeer-review

118 Scopus citations


This article provides an overview of advanced image processing for three dimensional (3D) optical coherence tomographic (OCT) angiography of macular diseases, including age-related macular degeneration (AMD) and diabetic retinopathy (DR). A fast automated retinal layers segmentation algorithm using directional graph search was introduced to separates 3D flow data into different layers in the presence of pathologies. Intelligent manual correction methods are also systematically addressed which can be done rapidly on a single frame and then automatically propagated to full 3D volume with accuracy better than 1 pixel. Methods to visualize and analyze the abnormalities including retinal and choroidal neovascularization, retinal ischemia, and macular edema were presented to facilitate the clinical use of OCT angiography.

Original languageEnglish (US)
Article number250610
Pages (from-to)4661-4675
Number of pages15
JournalBiomedical Optics Express
Issue number12
StatePublished - Nov 2 2015


  • Image analysis
  • Image processing
  • Ophthalmology
  • Optical coherence tomography

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics


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