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Authors: Clément Beitone ; Christophe Tilmant and Frédéric Chausse

Affiliation: Université Clermont Auvergne and Institut Pascal, France

Keyword(s): Semi Automatic Cardiac Segmentation, Threshold, Level Set, Legendre Moments.

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

Abstract: The evaluation of cardiac functional parameters for heart disease diagnosis requires to have an accurate segmentation result. We propose a method to efficiently and reliably segment both the endocardial and the epicardial borders of the left ventricle. We use MR short axis images acquired in SSFP mode. Our framework combines a threshold-based approach to produce an estimation of the shape of the cardiac wall and a level set approach that refine it. We assessed our method on two databases built for two MICCAI challenges. Our results would have positioned us at the third place of the 2009 challenges.

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Paper citation in several formats:
Beitone, C.; Tilmant, C. and Chausse, F. (2017). Segmentation of the LV Wall with Trabeculations. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 301-305. DOI: 10.5220/0006270903010305

@conference{visapp17,
author={Clément Beitone. and Christophe Tilmant. and Frédéric Chausse.},
title={Segmentation of the LV Wall with Trabeculations},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP},
year={2017},
pages={301-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006270903010305},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP
TI - Segmentation of the LV Wall with Trabeculations
SN - 978-989-758-225-7
IS - 2184-4321
AU - Beitone, C.
AU - Tilmant, C.
AU - Chausse, F.
PY - 2017
SP - 301
EP - 305
DO - 10.5220/0006270903010305
PB - SciTePress

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