Exploratory dijkstra forest based automatic vessel segmentation: Applications in video indirect ophthalmoscopy (VIO)

Rolando Estrada, Carlo Tomasi, Michelle T. Cabrera, David K. Wallace, Sharon F. Freedman, Sina Farsiu

Research output: Contribution to journalArticle

27 Scopus citations

Abstract

We present a methodology for extracting the vascular network in the human retina using Dijkstra's shortest-path algorithm. Our method preserves vessel thickness, requires no manual intervention, and follows vessel branching naturally and efficiently. To test our method, we constructed a retinal video indirect ophthalmoscopy (VIO) image database from pediatric patients and compared the segmentations achieved by ourmethod and state-of-the-art approaches to a human-drawn gold standard. Our experimental results show that our algorithm outperforms prior stateof-the-art methods, for both single VIO frames and automatically generated, large field-of-view enhanced mosaics. We have made the corresponding dataset and source code freely available online.

Original languageEnglish (US)
Pages (from-to)327-339
Number of pages13
JournalBiomedical Optics Express
Volume3
Issue number2
DOIs
StatePublished - Feb 1 2012
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

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