Research Papers: Imaging

Three-dimensional segmentation and reconstruction of the retinal vasculature from spectral-domain optical coherence tomography

[+] Author Affiliations
Pedro Guimarães

University of Coimbra, Faculty of Medicine, Institute for Biomedical Imaging and Life Sciences, Azinhaga Santa Comba, 3000-548 Coimbra, Portugal

University of Padova, Department of Information Engineering, Via Gradenigo, 6/b, 35131 Padova, Italy

Pedro Rodrigues

Association for Innovation and Biomedical Research in Light and Image, Azinhaga Santa Comba, 3000-548 Coimbra, Portugal

University of Coimbra, Institute of Systems and Robotics, Pinhal de Marrocos—Polo II, 3030 Coimbra, Portugal

Dirce Celorico

Association for Innovation and Biomedical Research in Light and Image, Azinhaga Santa Comba, 3000-548 Coimbra, Portugal

Pedro Serranho

University of Coimbra, Faculty of Medicine, Institute for Biomedical Imaging and Life Sciences, Azinhaga Santa Comba, 3000-548 Coimbra, Portugal

Universidade Aberta, Mathematics Section, Department of Science and Technology, Rua da Escola Politécnica 141-147, 1269-001 Lisbon, Portugal

Rui Bernardes

University of Coimbra, Faculty of Medicine, Institute for Biomedical Imaging and Life Sciences, Azinhaga Santa Comba, 3000-548 Coimbra, Portugal

J. Biomed. Opt. 20(1), 016006 (Jan 07, 2015). doi:10.1117/1.JBO.20.1.016006
History: Received July 1, 2014; Accepted December 5, 2014
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Abstract.  We reconstruct the three-dimensional shape and location of the retinal vascular network from commercial spectral-domain (SD) optical coherence tomography (OCT) data. The two-dimensional location of retinal vascular network on the eye fundus is obtained through support vector machines classification of properly defined fundus images from OCT data, taking advantage of the fact that on standard SD-OCT, the incident light beam is absorbed by hemoglobin, creating a shadow on the OCT signal below each perfused vessel. The depth-wise location of the vessel is obtained as the beginning of the shadow. The classification of crossovers and bifurcations within the vascular network is also addressed. We illustrate the feasibility of the method in terms of vessel caliber estimation and the accuracy of bifurcations and crossovers classification.

© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Pedro Guimarães ; Pedro Rodrigues ; Dirce Celorico ; Pedro Serranho and Rui Bernardes
"Three-dimensional segmentation and reconstruction of the retinal vasculature from spectral-domain optical coherence tomography", J. Biomed. Opt. 20(1), 016006 (Jan 07, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.1.016006


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