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Authors: Alauddin Bhuiyan ; Baikunth Nath and Rao Kotagiri

Affiliation: The University of Melbourne, Australia

Keyword(s): Vascular bifurcation/branching and crossover point, Binary tree, Invariant features, Tree traversal algorithm, Disease prediction.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: In this paper, we propose a retinal vascular network model, which is an automatic process of generating a graph representation (i.e., a tree) of the retinal blood vessels and includes vessel geometrical features. It maps the retinal blood vessels and can facilitate vascular features such as the vessel width, bifurcation angle, among others to predict or earlier diagnose cardiovascular and related diseases. The proposed tree-model is based on vessel’s centerline, cross-sectional width, and bifurcation, branching and crossover points. The optic disc center is computed using the Hough transformation and vessel centerlines are tracked from out side its radius. Blood vessels are fragmented as vessel-segments based on the bifurcation, branching and crossover points. For each blood vessel we construct a binary tree which is linked in the root of the tree-model. Our automated method achieves an accuracy of 91.23% in extracting the vessel-segments.

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Paper citation in several formats:
Bhuiyan, A.; Nath, B. and Kotagiri, R. (2011). RETINAL VASCULAR NETWORK MODEL - An Automatic Approach. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5; ISSN 2184-4305, pages 233-238. DOI: 10.5220/0003161602330238

@conference{biosignals11,
author={Alauddin Bhuiyan. and Baikunth Nath. and Rao Kotagiri.},
title={RETINAL VASCULAR NETWORK MODEL - An Automatic Approach},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={233-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003161602330238},
isbn={978-989-8425-35-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS, (BIOSTEC 2011)
TI - RETINAL VASCULAR NETWORK MODEL - An Automatic Approach
SN - 978-989-8425-35-5
IS - 2184-4305
AU - Bhuiyan, A.
AU - Nath, B.
AU - Kotagiri, R.
PY - 2011
SP - 233
EP - 238
DO - 10.5220/0003161602330238

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