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Journal of Biomedical Optics

Two-dimensional segmentation of the retinal vascular network from optical coherence tomography
Author(s): Pedro Rodrigues; Pedro Guimaraes; Torcato Santos; Silvia Simao; Telmo Miranda; Pedro Serranho; Rui C. Bernardes
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Paper Abstract

The automatic segmentation of the retinal vascular network from ocular fundus images has been performed by several research groups. Although different approaches have been proposed for traditional imaging modalities, only a few have addressed this problem for optical coherence tomography (OCT). Furthermore, these approaches were focused on the optic nerve head region. Compared to color fundus photography and fluorescein angiography, two-dimensional ocular fundus reference images computed from three-dimensional OCT data present additional problems related to system lateral resolution, image contrast, and noise. Specifically, the combination of system lateral resolution and vessel diameter in the macular region renders the process particularly complex, which might partly explain the focus on the optic disc region. In this report, we describe a set of features computed from standard OCT data of the human macula that are used by a supervised-learning process (support vector machines) to automatically segment the vascular network. For a set of macular OCT scans of healthy subjects and diabetic patients, the proposed method achieves 98% accuracy, 99% specificity, and 83% sensitivity. This method was also tested on OCT data of the optic nerve head region achieving similar results.

Paper Details

Date Published: 16 December 2013
PDF: 13 pages
J. Biomed. Opt. 18(12) 126011 doi: 10.1117/1.JBO.18.12.126011
Published in: Journal of Biomedical Optics Volume 18, Issue 12
Show Author Affiliations
Pedro Rodrigues, Association for Innovation and Biomedical Research on Light and Image (Portugal)
Pedro Guimaraes, Univ. de Coimbra (Portugal)
Torcato Santos, Association for Innovation and Biomedical Research on Light and Image (Portugal)
Silvia Simao, Association for Innovation and Biomedical Research on Light and Image (Portugal)
Telmo Miranda, Association for Innovation and Biomedical Research on Light and Image (Portugal)
Pedro Serranho, Univ. de Coimbra (Portugal)
Rui C. Bernardes, Association for Innovation and Biomedical Research on Light and Image (Portugal)


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