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Authors: Tatyana Ivanovska 1 ; Pierluigi Ciet 2 ; Adria Perez-Rovira 2 ; Anh Nguyen 2 ; Harm Tiddens 2 ; Liesbeth Duijts 2 ; Marleen de Bruijne 2 and Florentin Wöergöetter 1

Affiliations: 1 Georg-August-University, Germany ; 2 Erasmus MC: University Medical Center Rotterdam, Netherlands

Keyword(s): MRI, Lung, Segmentation and Volumetry, Child Cohort.

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

Abstract: In this work, a framework for fully automated lung extraction from magnetic resonance imaging (MRI) inspiratory data that have been acquired within a on-going epidemiological child cohort study is presented. The method’s main steps are intensity inhomogeneity correction, denoising, clustering, airway extraction and lung region refinement. The presented approach produces highly accurate results (Dice coefficients ≥ 95%), when compared to semi-automatically obtained masks, and has potential to be applied to the whole study data.

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Paper citation in several formats:
Ivanovska, T.; Ciet, P.; Perez-Rovira, A.; Nguyen, A.; Tiddens, H.; Duijts, L.; de Bruijne, M. and Wöergöetter, F. (2017). Fully Automated Lung Volume Assessment from MRI in a Population-based Child Cohort Study. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP; ISBN 978-989-758-227-1; ISSN 2184-4321, SciTePress, pages 53-58. DOI: 10.5220/0006075300530058

@conference{visapp17,
author={Tatyana Ivanovska. and Pierluigi Ciet. and Adria Perez{-}Rovira. and Anh Nguyen. and Harm Tiddens. and Liesbeth Duijts. and Marleen {de Bruijne}. and Florentin Wöergöetter.},
title={Fully Automated Lung Volume Assessment from MRI in a Population-based Child Cohort Study},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP},
year={2017},
pages={53-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006075300530058},
isbn={978-989-758-227-1},
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 6: VISAPP
TI - Fully Automated Lung Volume Assessment from MRI in a Population-based Child Cohort Study
SN - 978-989-758-227-1
IS - 2184-4321
AU - Ivanovska, T.
AU - Ciet, P.
AU - Perez-Rovira, A.
AU - Nguyen, A.
AU - Tiddens, H.
AU - Duijts, L.
AU - de Bruijne, M.
AU - Wöergöetter, F.
PY - 2017
SP - 53
EP - 58
DO - 10.5220/0006075300530058
PB - SciTePress

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