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Authors: Antonio Bravo 1 ; José Clemente 1 and Rubén Medina 2

Affiliations: 1 Universidad Nacional Experimental del Táchira, Venezuela ; 2 Universidad de Los Andes, Venezuela

ISBN: 978-989-674-029-0

Keyword(s): Segmentation, Unsupervised clustering, Mean shift, Cardiac images, Human heart, Left ventricle.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: In this paper an image segmentation scheme that is based on combinations of a non–parametric technique and a seed based clustering algorithm is reported. The method has been applied to clinical unsubtracted angiograms of the human heart. The first step of the method consists in applying a mean shift–based filter in order to improve the left ventricle cavity information in angiographic images. Second, the initial seed is semi–automatically generated from the aortic valve manual localization by a specialist. Third, each angiographic image is segmented using a clustering algorithm that begins with the seed which is grown until image pixels associated to the left ventricle cavity are clustered. A validation is performed by comparing the estimated contours with respect to contours manually traced by a cardiologists. From this validation stage the maximum of the average contour error considering six angiographic sequences (a total of 178 images) is 7.30 % .

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Paper citation in several formats:
Bravo A.; Clemente J.; Medina R. and (2010). SEED–GROWING HEART SEGMENTATION IN HUMAN ANGIOGRAMS.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 91-96. DOI: 10.5220/0002848900910096

@conference{visapp10,
author={Antonio Bravo and José Clemente and Rubén Medina},
title={SEED–GROWING HEART SEGMENTATION IN HUMAN ANGIOGRAMS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={91-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002848900910096},
isbn={978-989-674-029-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - SEED–GROWING HEART SEGMENTATION IN HUMAN ANGIOGRAMS
SN - 978-989-674-029-0
AU - Bravo, A.
AU - Clemente, J.
AU - Medina, R.
PY - 2010
SP - 91
EP - 96
DO - 10.5220/0002848900910096

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