DAAPMed: A Data-aware Anchor Point Selection Tool for Medical Models in VR Environments

Eva Monclús Lahoya, Pere-Pau Vázquez, Isabel Navazo Álvaro

Abstract

There is a number of problems where the analysis of medical datasets requires the selection of anchoring points in 3D space, such as the measurement of anatomical structures (i.e. lengths of bones), pathological structures (i.e. tumors), and the measurement of other elements such as the air contents in the lungs or the gut. Previous research indicates that measurement tasks can be usually carried out more efficiently in VR environments than in desktop-based systems. However, there is a lack of tools for measurement support for medical models in VR environments. This paper presents a new VR-based interaction technique, Data-Aware Anchor Points for Medical models (DAAPMed), specially focused on the efficient selection of 3D points in datasets rendered using methods with semi-transparency such as Direct Volume Rendering. We will show that our method is effective, precise, and reduces the amount of movements required to set the anchor points as compared with other classical techniques based on clipping planes.

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Paper Citation


in Harvard Style

Monclús Lahoya E., Vázquez P. and Navazo Álvaro I. (2013). DAAPMed: A Data-aware Anchor Point Selection Tool for Medical Models in VR Environments . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013) ISBN 978-989-8565-46-4, pages 308-317. DOI: 10.5220/0004287603080317


in Bibtex Style

@conference{grapp13,
author={Eva Monclús Lahoya and Pere-Pau Vázquez and Isabel Navazo Álvaro},
title={DAAPMed: A Data-aware Anchor Point Selection Tool for Medical Models in VR Environments},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013)},
year={2013},
pages={308-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004287603080317},
isbn={978-989-8565-46-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013)
TI - DAAPMed: A Data-aware Anchor Point Selection Tool for Medical Models in VR Environments
SN - 978-989-8565-46-4
AU - Monclús Lahoya E.
AU - Vázquez P.
AU - Navazo Álvaro I.
PY - 2013
SP - 308
EP - 317
DO - 10.5220/0004287603080317