Experimental Comparison of Vasculature Segmentation Methods

Yuchun Ding; Li Bai

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Paper

Experimental Comparison of Vasculature Segmentation Methods

Topics: Image Enhancement and Restoration; Medical Image Applications; Segmentation and Grouping

In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 425-432, 2014 , Lisbon, Portugal

Authors: Yuchun Ding and Li Bai

Affiliation: Nottingham University, United Kingdom

Keyword(s): Vascular Segmentation, Retinal Vasculature, Micro-CT.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Medical Image Applications ; Segmentation and Grouping

Abstract: Vessel segmentation algorithms play a very important role in vascular disease diagnosis and prediction. Current vessel segmentation research uses mostly images of large vessels, which are relatively easy to extract, but segmenting microvasculature is more challenging and very important for analysing vascular disease such as Alzheimer’s Diseases. The aim of this paper is to report experimental results of several common vessel image segmentation methods. Retinal vessel image database DRIVE is used for 2D experiments and a micro-CT image is used for 3D experiments.

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Paper citation in several formats:

Ding, Y. and Bai, L. (2014). Experimental Comparison of Vasculature Segmentation Methods. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 425-432. DOI: 10.5220/0004648804250432

@conference{visapp14,
author={Yuchun Ding. and Li Bai.},
title={Experimental Comparison of Vasculature Segmentation Methods},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={425-432},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004648804250432},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - Experimental Comparison of Vasculature Segmentation Methods
SN - 978-989-758-003-1
IS - 2184-4321
AU - Ding, Y.
AU - Bai, L.
PY - 2014
SP - 425
EP - 432
DO - 10.5220/0004648804250432
PB - SciTePress