Fully automated lung volume assessment from MRI in a population-based child cohort study

Tatyana Ivanovska; Pierluigi Ciet; Adria Rerez-Rovira; Anh Nguyen; Harm Tiddens; Liesbeth Duijts; Marleen de Bruijne; Florentin Wörgötter

doi:10.5220/0006075300530058

Fully automated lung volume assessment from MRI in a population-based child cohort study

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Number of pages	6
Volume	6
Publisher	SCITEPRESS Digital Library
Publication date	2017
Pages	53-58
ISBN (Electronic)	978-989-758-227-1
DOIs	https://doi.org/10.5220/0006075300530058
Publication status	Published - 2017
Externally published	Yes
Event	12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Porto, Portugal Duration: 27 Feb 2017 → 1 Mar 2017 Conference number: 12

Conference

Conference	12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Number	12
Country/Territory	Portugal
City	Porto
Period	27/02/2017 → 01/03/2017

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10.5220/0006075300530058Licence: CC BY-NC-ND

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Ivanovska, T., Ciet, P., Rerez-Rovira, A., Nguyen, A., Tiddens, H., Duijts, L., de Bruijne, M., & Wörgötter, 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 (Vol. 6, pp. 53-58). SCITEPRESS Digital Library. https://doi.org/10.5220/0006075300530058

Fully automated lung volume assessment from MRI in a population-based child cohort study. / Ivanovska, Tatyana; Ciet, Pierluigi; Rerez-Rovira, Adria et al.

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 6 SCITEPRESS Digital Library, 2017. p. 53-58.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Ivanovska, T, Ciet, P, Rerez-Rovira, A, Nguyen, A, Tiddens, H, Duijts, L, de Bruijne, M & Wörgötter, 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. vol. 6, SCITEPRESS Digital Library, pp. 53-58, 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Porto, Portugal, 27/02/2017. https://doi.org/10.5220/0006075300530058

Ivanovska T, Ciet P, Rerez-Rovira A, Nguyen A, Tiddens H, Duijts L et al. 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. Vol. 6. SCITEPRESS Digital Library. 2017. p. 53-58 doi: 10.5220/0006075300530058

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M3 - Article in proceedings

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BT - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

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ER -

Fully automated lung volume assessment from MRI in a population-based child cohort study

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