Visualization of 3D Cluster Results for Medical Tomographic Image Data

Sylvia Glaßer, Kai Lawonn, Bernhard Preim

2014

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.

Paper Citation

in Harvard Style

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 - Volume 1: GRAPP, (VISIGRAPP 2014) ISBN 978-989-758-002-4, pages 169-176. DOI: 10.5220/0004719901690176

in Bibtex Style

@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 - Volume 1: GRAPP, (VISIGRAPP 2014)},
year={2014},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004719901690176},
isbn={978-989-758-002-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014)
TI - Visualization of 3D Cluster Results for Medical Tomographic Image Data
SN - 978-989-758-002-4
AU - Glaßer S.
AU - Lawonn K.
AU - Preim B.
PY - 2014
SP - 169
EP - 176
DO - 10.5220/0004719901690176