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Proceedings Paper

Integration of the HTC Vive into the medical platform MeVisLab
Author(s): Jan Egger; Markus Gall; Jürgen Wallner; Pedro de Almeida Germano Boechat; Alexander Hann; Xing Li; Xiaojun Chen; Dieter Schmalstieg
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Paper Abstract

Virtual Reality (VR) is an immersive technology that replicates an environment via computer-simulated reality. VR gets a lot of attention in computer games but has also great potential in other areas, like the medical domain. Examples are planning, simulations and training of medical interventions, like for facial surgeries where an aesthetic outcome is important. However, importing medical data into VR devices is not trivial, especially when a direct connection and visualization from your own application is needed. Furthermore, most researcher don’t build their medical applications from scratch, rather they use platforms, like MeVisLab, Slicer or MITK. The platforms have in common that they integrate and build upon on libraries like ITK and VTK, further providing a more convenient graphical interface to them for the user. In this contribution, we demonstrate the usage of a VR device for medical data under MeVisLab. Therefore, we integrated the OpenVR library into MeVisLab as an own module. This enables the direct and uncomplicated usage of head mounted displays, like the HTC Vive under MeVisLab. Summarized, medical data from other MeVisLab modules can directly be connected per drag-and-drop to our VR module and will be rendered inside the HTC Vive for an immersive inspection.

Paper Details

Date Published: 13 March 2017
PDF: 7 pages
Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013817 (13 March 2017); doi: 10.1117/12.2263234
Show Author Affiliations
Jan Egger, Technische Univ. Graz (Austria)
BioTechMed-Graz (Austria)
Markus Gall, Technische Univ. Graz (Austria)
Jürgen Wallner, Medical Univ. of Graz (Austria)
Pedro de Almeida Germano Boechat, Technische Univ. Graz (Austria)
Alexander Hann, Ulm Univ. (Germany)
Xing Li, Shanghai Jiao Tong Univ. (China)
Xiaojun Chen, Shanghai Jiao Tong Univ. (China)
Dieter Schmalstieg, Technische Univ. Graz (Austria)


Published in SPIE Proceedings Vol. 10138:
Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications
Tessa S. Cook; Jianguo Zhang, Editor(s)

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