Retinal Layer Segmentation

Retinal OCT

Retina is a layered tissue structure of neurons and synapses inside the eye that detect and process visual information. Optical coherence tomography (OCT) images the retina in-vivo with high-resolution, 3D visualization.

Retinal morphology is essentially related to function, as the tissue degradation in diseases such as glaucoma and age-related macular degeneration (AMD) leads to loss of vision that is often irrevocable.

Retinal Layer Segmentation

Segmentation of retinal layers is a necessary step before quantitative shape analysis. Challenges to accurate segmentation include various imaging artefact and inconsistencies such as shadowing caused by intraretinal vasculature.

We use a robust graph-cut based algorithm that yields smooth and consistent layer boundary segmentation. The effect of imaging artefact and structural inconsistencies is mitigated by the three-dimensinoal nature of the algorithm in which the continuity of the segmented surface enforces correct delineation even for the edges with poor contrast.


S. Lee, N. Fallah, F. Forooghian, A. Ko, K. Pakzad-Vaezi, A. B. Merkur, A. W. Kirker, D. A. Albiani, M. Young, M. V. Sarunic, M. F. Beg, “Comparative analysis of repeatability of manual and automated choroidal thickness measurements in non-neovascular age-related macular gegeneration,” Invest. Ophthalmol. Vis. Sci., 54(4), 2864-71 (2013)

S. Lee, M. F. Beg, M. V. Sarunic, “Segmentation of the macular choroid in OCT images acquired at 830 nm and 1060 nm,” European Conference in Biomedical Optics, Munich, Germany, 2013