Artery/vein Classification of Blood Vessel Tree in Retinal Imaging

Joaquim de Moura, Jorge Novo, Marcos Ortega, Noelia Barreira, Pablo Charlón

Abstract

Alterations in the retinal microcirculation are signs of relevant diseases such as hypertension, arteriosclerosis, or diabetes. Specifically, arterial constriction and narrowing were associated with early stages of hypertension. Moreover, retinal vasculature abnormalities may be useful indicators for cerebrovascular and cardiovascular diseases. The Arterio-Venous Ratio (AVR), that measures the relation between arteries and veins, is one of the most referenced ways of quantifying the changes in the retinal vessel tree. Since these alterations affect differently arteries and veins, a precise characterization of both types of vessels is a key issue in the development of automatic diagnosis systems. In this work, we propose a methodology for the automatic vessel classification between arteries and veins in eye fundus images. The proposal was tested and validated with 19 near-infrared reflectance retinographies. The methodology provided satisfactory results, in a complex domain as is the retinal vessel tree identification and classification.

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Paper Citation


in Harvard Style

de Moura J., Novo J., Ortega M., Barreira N. and Charlón P. (2017). Artery/vein Classification of Blood Vessel Tree in Retinal Imaging . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 371-377. DOI: 10.5220/0006135003710377


in Bibtex Style

@conference{visapp17,
author={Joaquim de Moura and Jorge Novo and Marcos Ortega and Noelia Barreira and Pablo Charlón},
title={Artery/vein Classification of Blood Vessel Tree in Retinal Imaging},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={371-377},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006135003710377},
isbn={978-989-758-225-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Artery/vein Classification of Blood Vessel Tree in Retinal Imaging
SN - 978-989-758-225-7
AU - de Moura J.
AU - Novo J.
AU - Ortega M.
AU - Barreira N.
AU - Charlón P.
PY - 2017
SP - 371
EP - 377
DO - 10.5220/0006135003710377