Fully Automated Lung Volume Assessment from MRI in a Population-based Child Cohort Study

Tatyana Ivanovska, Pierluigi Ciet, Adria Perez-Rovira, Anh Nguyen, Harm Tiddens, Liesbeth Duijts, Marleen de Bruijne, Florentin Wöergöetter

2017

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.

Paper Citation

in Harvard Style

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 - Volume 6: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 53-58. DOI: 10.5220/0006075300530058

in Bibtex Style

@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 - Volume 6: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={53-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006075300530058},
isbn={978-989-758-227-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)
TI - Fully Automated Lung Volume Assessment from MRI in a Population-based Child Cohort Study
SN - 978-989-758-227-1
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