Exploratory Dijkstra forest based automatic vessel segmentation: applications in video indirect ophthalmoscopy (VIO).

Published

Journal Article

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 our method and state-of-the-art approaches to a human-drawn gold standard. Our experimental results show that our algorithm outperforms prior state-of-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.

Full Text

Duke Authors

Cited Authors

  • Estrada, R; Tomasi, C; Cabrera, MT; Wallace, DK; Freedman, SF; Farsiu, S

Published Date

  • February 2012

Published In

Volume / Issue

  • 3 / 2

Start / End Page

  • 327 - 339

PubMed ID

  • 22312585

Pubmed Central ID

  • 22312585

Electronic International Standard Serial Number (EISSN)

  • 2156-7085

International Standard Serial Number (ISSN)

  • 2156-7085

Digital Object Identifier (DOI)

  • 10.1364/BOE.3.000327

Language

  • eng