Exploratory Dijkstra forest based automatic vessel segmentation: applications in video indirect ophthalmoscopy (VIO).
Journal Article (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 1, 2012
Published In
Volume / Issue
- 3 / 2
Start / End Page
- 327 - 339
PubMed ID
- 22312585
Pubmed Central ID
- PMC3269849
Electronic International Standard Serial Number (EISSN)
- 2156-7085
Digital Object Identifier (DOI)
- 10.1364/BOE.3.000327
Language
- eng
Conference Location
- United States