Abstract
We have developed a method for the automated segmentation of the internal limiting membrane and the pigment epithelium in 3-D OCT retinal images. Each surface was found as a minimum s-t cut from a geometric graph constructed from edge/regional information and a priori-determined surface constraints. Our approach was tested on 18 3-D data sets (9 from patients with normal optic discs and 9 from patients with papilledema) obtained using a Stratus OCT-3 scanner. Qualitative analysis of surface detection correctness indicates that our method consistently found the correct surfaces and outperformed the proprietary algorithm used in the Stratus OCT-3 scanner. For example, for the internal limiting membrane, 4% of the 2-D scans had minor failures with no major failures using our approach, but 19% of the 2-D scans using the Stratus OCT-3 scanner had minor or complete failures.
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Keywords
- Optical Coherence Tomography
- Retinal Thickness
- Retinal Layer
- Optical Coherence Tomography Image
- Geometric Graph
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© 2006 Springer-Verlag Berlin Heidelberg
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Haeker, M., Abràmoff, M., Kardon, R., Sonka, M. (2006). Segmentation of the Surfaces of the Retinal Layer from OCT Images. In: Larsen, R., Nielsen, M., Sporring, J. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. MICCAI 2006. Lecture Notes in Computer Science, vol 4190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11866565_98
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DOI: https://doi.org/10.1007/11866565_98
Publisher Name: Springer, Berlin, Heidelberg
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