Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming.

Published

Journal Article

Segmentation of anatomical structures in corneal images is crucial for the diagnosis and study of anterior segment diseases. However, manual segmentation is a time-consuming and subjective process. This paper presents an automatic approach for segmenting corneal layer boundaries in Spectral Domain Optical Coherence Tomography images using graph theory and dynamic programming. Our approach is robust to the low-SNR and different artifact types that can appear in clinical corneal images. We show that our method segments three corneal layer boundaries in normal adult eyes more accurately compared to an expert grader than a second grader-even in the presence of significant imaging outliers.

Full Text

Duke Authors

Cited Authors

  • Larocca, F; Chiu, SJ; McNabb, RP; Kuo, AN; Izatt, JA; Farsiu, S

Published Date

  • June 2011

Published In

Volume / Issue

  • 2 / 6

Start / End Page

  • 1524 - 1538

PubMed ID

  • 21698016

Pubmed Central ID

  • 21698016

Electronic International Standard Serial Number (EISSN)

  • 2156-7085

International Standard Serial Number (ISSN)

  • 2156-7085

Digital Object Identifier (DOI)

  • 10.1364/BOE.2.001524

Language

  • eng