Automatic retinal vessel segmentation based on active contours method in Doppler spectral-domain optical coherence tomography

Wenzhong Liu, Tan Liu, Wei Song, Ji Yi, Hao F. Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We achieved fast and automatic retinal vessel segmentation by employing the active contours method in Doppler spectral-domain optical coherence tomography (SD-OCT). In a typical OCT B-scan image, we first extracted the phase variations between adjacent A-lines and removed bulk motion. Then we set the initial contour as the boundary of the whole image and iterated until all of the segmented vessel contours became stabilized. Using a typical office computer, the whole segmentation took no more than 50 s, making real-time retinal vessel segmentation possible. We tested the active contours method segmentation in both controlled phantom and in vivo rodent eye images.

Original languageEnglish (US)
Article number016002
JournalJournal of Biomedical Optics
Volume18
Issue number1
DOIs
StatePublished - 2013

Funding

This work is supported in part by NIH Grants 1R01EY019951 and 1RC4E021357, and NSF Grants CBET-1055379 (CAREER) and CBET-1066776.

Keywords

  • Image processing
  • Optical coherence tomography
  • Retinal imaging

ASJC Scopus subject areas

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

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