Quantification of choroidal neovascularization vessel length using optical coherence tomography angiography

Simon S. Gao, Li Liu, Steven Bailey, Christina Flaxel, David Huang, Dengwang Li, Jia Yali

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Quantification of choroidal neovascularization (CNV) as visualized by optical coherence tomography angiography (OCTA) may have importance clinically when diagnosing or tracking disease. Here, we present an automated algorithm to quantify the vessel skeleton of CNV as vessel length. Initial segmentation of the CNV on en face angiograms was achieved using saliency-based detection and thresholding. A level set method was then used to refine vessel edges. Finally, a skeleton algorithm was applied to identify vessel centerlines. The algorithm was tested on nine OCTA scans from participants with CNV and comparisons of the algorithm's output to manual delineation showed good agreement.

Original languageEnglish (US)
Article number076010
JournalJournal of Biomedical Optics
Volume21
Issue number7
DOIs
StatePublished - Jul 1 2016

Fingerprint

angiogenesis
Angiography
angiography
Optical tomography
vessels
tomography
musculoskeletal system
delineation
output

Keywords

  • age-related macular degeneration
  • choroidal neovascularization
  • image processing
  • optical coherence tomography angiography
  • vessel skeleton

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biomaterials
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

Cite this

Quantification of choroidal neovascularization vessel length using optical coherence tomography angiography. / Gao, Simon S.; Liu, Li; Bailey, Steven; Flaxel, Christina; Huang, David; Li, Dengwang; Yali, Jia.

In: Journal of Biomedical Optics, Vol. 21, No. 7, 076010, 01.07.2016.

Research output: Contribution to journalArticle

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AU - Yali, Jia

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