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Authors: Peter Faltin 1 ; Thomas Kraus 2 ; Marcin Kopaczka 1 and Dorit Merhof 1

Affiliations: 1 RWTH Aachen University, Germany ; 2 Uniklinik RWTH Aachen, Germany

ISBN: 978-989-758-175-5

Keyword(s): Surface Representation, Planar Visualization, Multidimensional Scaling, Flattening, Temporal Consistency.

Related Ontology Subjects/Areas/Topics: Biomedical Visualization and Applications ; Computer Vision, Visualization and Computer Graphics ; Spatial Data Visualization

Abstract: Malignant pleural mesothelioma is an aggressive tumor of the lung surrounding membrane. The standardized workflow for the assessment comprises an inspection of 3D CT images to detect pleural thickenings which act as indicators for this tumor. Up to now, the visualization of relevant information from the pleura has only been superficially addressed. Current approaches still utilize a slice-wise visualization which does not allow a global assessment of the lung surface. In this publication, we present an approach which enables a planar 2D visualization of the pleura by flattening its surface. A distortion free mapping to a planar representation is generally not possible. The present method determines a planar representation with low distortions directly from a voxel-based surface. For a meaningful follow-up assessment, the consistent representation of a lung from different points in time is highly important. Therefore, the main focus in this publication is to guarantee a consistent repr esentation of the pleura from the same patient extracted from images taken at two different points in time. This temporal consistency is achieved by our newly proposed link of both surfaces during the flattening process. Additionally, a new initialization method which utilizes a flattened lung prototype speeds up the flattening process. (More)

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Paper citation in several formats:
Faltin, P.; Kraus, T.; Kopaczka, M. and Merhof, D. (2016). Flattening of the Lung Surface with Temporal Consistency for the Follow-Up Assessment of Pleural Mesothelioma.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 233-243. DOI: 10.5220/0005718702330243

@conference{ivapp16,
author={Peter Faltin. and Thomas Kraus. and Marcin Kopaczka. and Dorit Merhof.},
title={Flattening of the Lung Surface with Temporal Consistency for the Follow-Up Assessment of Pleural Mesothelioma},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016)},
year={2016},
pages={233-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005718702330243},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016)
TI - Flattening of the Lung Surface with Temporal Consistency for the Follow-Up Assessment of Pleural Mesothelioma
SN - 978-989-758-175-5
AU - Faltin, P.
AU - Kraus, T.
AU - Kopaczka, M.
AU - Merhof, D.
PY - 2016
SP - 233
EP - 243
DO - 10.5220/0005718702330243

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