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Authors: Sylvia Glaßer ; Kai Lawonn and Bernhard Preim

Affiliation: Otto-von-Guericke University, Germany

Keyword(s): Computer Graphics, I.3.5, Picture/Image Generation, Display algorithms.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Modeling and Algorithms

Abstract: We present an approach for the 3D visualization of clustered tomographic image data using the example of breast perfusion image data. Our visualization provides fast visual access to the amount of clusters, cluster size, presence and amount of outliers, and the spatial extent as well as the spatial orientation of the clusters. The spatial perception of a cluster’s elements is improved with a connection via geometric primitives and appropriate shading styles and color mapping. Our technique can be easily adapted to any cluster result arising from medical tomographic image data.

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Paper citation in several formats:
Glaßer, S.; Lawonn, K. and Preim, B. (2014). Visualization of 3D Cluster Results for Medical Tomographic Image Data. In Proceedings of the 9th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2014) - GRAPP; ISBN 978-989-758-002-4; ISSN 2184-4321, SciTePress, pages 169-176. DOI: 10.5220/0004719901690176

@conference{grapp14,
author={Sylvia Glaßer. and Kai Lawonn. and Bernhard Preim.},
title={Visualization of 3D Cluster Results for Medical Tomographic Image Data},
booktitle={Proceedings of the 9th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2014) - GRAPP},
year={2014},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004719901690176},
isbn={978-989-758-002-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2014) - GRAPP
TI - Visualization of 3D Cluster Results for Medical Tomographic Image Data
SN - 978-989-758-002-4
IS - 2184-4321
AU - Glaßer, S.
AU - Lawonn, K.
AU - Preim, B.
PY - 2014
SP - 169
EP - 176
DO - 10.5220/0004719901690176
PB - SciTePress

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