SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality

TitleSlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality
Publication TypeJournal Article
Year of Publication2020
AuthorsPinter, C., Lasso A., Choueib S., Asselin M., Fillion-Robin J-CC., Vimort J-B., Martin K., Jolley MA., & Fichtinger G.
JournalIEEE Transactions on Medical Robotics and Bionics
Volume2
Number2
Pagination108-117
Date Published03/2020
Abstract

Virtual reality (VR) provides immersive visualization that has proved to be useful in a variety of medical applications. Currently, however, no free open-source software platform exists that would provide comprehensive support for translational clinical researchers in prototyping experimental VR scenarios in training, planning or guiding medical interventions. By integrating VR functions in 3D Slicer, an established medical image analysis and visualization platform, SlicerVR enables virtual reality experience by a single click. It provides functions to navigate and manipulate the virtual scene, as well as various settings to abate the feeling of motion sickness. SlicerVR allows for shared collaborative VR experience both locally and remotely. We present illustrative scenarios created with SlicerVR in a wide spectrum of applications, including echocardiography, neurosurgery, spine surgery, brachytherapy, intervention training and personalized patient education. SlicerVR is freely available under BSD type license as an extension to 3D Slicer and it has been downloaded over 7,800 times at the time of writing this article.

DOI10.1109/TMRB.2020.2983199
PerkWeb Citation KeyPinter2020

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