Paper
13 March 2017 Integration of the HTC Vive into the medical platform MeVisLab
Jan Egger, Markus Gall, Jürgen Wallner, Pedro de Almeida Germano Boechat, Alexander Hann, Xing Li, Xiaojun Chen, Dieter Schmalstieg
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan Egger, Markus Gall, Jürgen Wallner, Pedro de Almeida Germano Boechat, Alexander Hann, Xing Li, Xiaojun Chen, and Dieter Schmalstieg "Integration of the HTC Vive into the medical platform MeVisLab", Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013817 (13 March 2017); https://doi.org/10.1117/12.2263234
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Cited by 10 scholarly publications.
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KEYWORDS
Visualization

Head-mounted displays

Virtual reality

Surgery

Image processing

3D image processing

3D vision

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