Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation.

Journal Article (Journal Article)

Segmentation of anatomical and pathological structures in ophthalmic images is crucial for the diagnosis and study of ocular diseases. However, manual segmentation is often a time-consuming and subjective process. This paper presents an automatic approach for segmenting retinal layers in Spectral Domain Optical Coherence Tomography images using graph theory and dynamic programming. Results show that this method accurately segments eight retinal layer boundaries in normal adult eyes more closely to an expert grader as compared to a second expert grader.

Full Text

Duke Authors

Cited Authors

  • Chiu, SJ; Li, XT; Nicholas, P; Toth, CA; Izatt, JA; Farsiu, S

Published Date

  • August 30, 2010

Published In

Volume / Issue

  • 18 / 18

Start / End Page

  • 19413 - 19428

PubMed ID

  • 20940837

Pubmed Central ID

  • PMC3408910

Electronic International Standard Serial Number (EISSN)

  • 1094-4087

Digital Object Identifier (DOI)

  • 10.1364/OE.18.019413


  • eng

Conference Location

  • United States