Segmentation of the LV Wall with Trabeculations

Clément Beitone, Christophe Tilmant, Frédéric Chausse

2017

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.

Paper Citation

in Harvard Style

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 - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 301-305. DOI: 10.5220/0006270903010305

in Bibtex Style

@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 - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={301-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006270903010305},
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 - Segmentation of the LV Wall with Trabeculations
SN - 978-989-758-225-7
AU - Beitone C.
AU - Tilmant C.
AU - Chausse F.
PY - 2017
SP - 301
EP - 305
DO - 10.5220/0006270903010305