Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
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)
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)
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)
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)
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)
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Wagner, J., Pezold, S., Cattin, P.C. (2017). Model-Driven 3-D Regularisation for Robust Segmentation of the Refractive Corneal Surfaces in Spiral OCT Scans. In: Cardoso, M., et al. Fetal, Infant and Ophthalmic Medical Image Analysis. OMIA FIFI 2017 2017. Lecture Notes in Computer Science(), vol 10554. Springer, Cham. https://doi.org/10.1007/978-3-319-67561-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-67561-9_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67560-2
Online ISBN: 978-3-319-67561-9
eBook Packages: Computer ScienceComputer Science (R0)