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

Opt Express. 2010 Aug 30;18(18):19413-28. doi: 10.1364/OE.18.019413.


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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computers
  • Diagnostic Techniques, Ophthalmological
  • Electronic Data Processing
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Imaging, Three-Dimensional
  • Observer Variation
  • Optics and Photonics
  • Retina / pathology*
  • Retina / physiology
  • Retinal Neurons / pathology
  • Software
  • Tomography, Optical Coherence / methods*