Model-Driven 3-D Regularisation for Robust Segmentation of the Refractive Corneal Surfaces in Spiral OCT Scans

  • Joerg WagnerEmail author
  • Simon Pezold
  • Philippe C. Cattin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10554)


Measuring the cornea’s anterior and posterior refractive surface is essential for corneal topography, used for diagnostics and the planning of surgeries. Corneal topography by Optical Coherence Tomography (OCT) relies on proper segmentation. Common segmentation methods are limited to specific, B-scan-based scan patterns and fail when applied to data acquired by recently proposed spiral scan trajectories. We propose a novel method for the segmentation of the anterior and posterior refractive surface in scans acquired by 2-D scan trajectories – including but not limited to spirals. Key feature is a model-driven, three-dimensional regularisation of the region of interest, slope and curvature. The regularisation is integrated into a graph-based segmentation with feature-directed smoothing and incremental segmentation. We parameterise the segmentation based on test surface measurements and evaluate its performance by means of 18 in vivo measurements acquired by spiral and radial scanning. The comparison with expert segmentations shows successful segmentation of the refractive corneal surfaces.


Optical Coherence Tomography Segmentation Cornea 


  1. 1.
    Braaf, B., van de Watering, T.C., Spruijt, K., van der Heijde, R.G., Sicam, V.A.D.: Calculating angle lambda (\(\lambda \)) using zernike tilt measurements in specular reflection corneal topography. J. Optom. 2(4), 207–214 (2009)CrossRefGoogle Scholar
  2. 2.
    Fu, H., Xu, Y., Lin, S., Zhang, X., Wong, D.W.K., Liu, J., Frangi, A.F., Baskaran, M., Aung, T.: Segmentation and quantification for angle-closure glaucoma assessment in anterior segment OCT. IEEE Trans. Med. Imaging (2017)Google Scholar
  3. 3.
    LaRocca, F., Chiu, S.J., McNabb, R.P., Kuo, A.N., Izatt, J.A., Farsiu, S.: Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming. Biomed. Opt. Express 2(6), 1524–1538 (2011)CrossRefGoogle Scholar
  4. 4.
    McNabb, R.P., LaRocca, F., Farsiu, S., Kuo, A.N., Izatt, J.A.: Distributed scanning volumetric SDOCT for motion corrected corneal biometry. Biomed. Opt. Express 3(9), 2050–2065 (2012)CrossRefGoogle Scholar
  5. 5.
    Wagner, J., Goldblum, D., Cattin, P.C.: Golden angle based scanning for robust corneal topography with OCT. Biomed. Opt. Express 8(2), 475–483 (2017)CrossRefGoogle Scholar
  6. 6.
    Williams, D., Zheng, Y., Bao, F., Elsheikh, A.: Fast segmentation of anterior segment optical coherence tomography images using graph cut. Eye Vis. 2(1), 1 (2015)CrossRefGoogle Scholar
  7. 7.
    Williams, D., Zheng, Y., Davey, P.G., Bao, F., Shen, M., Elsheikh, A.: Reconstruction of 3D surface maps from anterior segment optical coherence tomography images using graph theory and genetic algorithms. Biomed. Signal Process. Control 25, 91–98 (2016)CrossRefGoogle Scholar
  8. 8.
    Yazdanpanah, A., Hamarneh, G., Smith, B.R., Sarunic, M.V.: Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach. IEEE Trans. Med. Imaging 30(2), 484–496 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Joerg Wagner
    • 1
    Email author
  • Simon Pezold
    • 1
  • Philippe C. Cattin
    • 1
  1. 1.Department of Biomedical EngineeringUniversity of BaselAllschwilSwitzerland

Personalised recommendations