Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

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An Immersive Virtual Reality Environment for Diagnostic Imaging

Institution:
1Laboratory for Percutaneous Surgery, School of Computing, Queen’s University, Kingston, ON, Canada.
2Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
3Isomics Inc., Cambridge, MA, USA.
Publisher:
Int Conf Med Image Comput Comput Assist Interv. MICCAI 2015
Publication Date:
Oct-2015
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2015 Oct;18(WS). Workshop on Interactive Medical Image Computing (IMIC).
Appears in Collections:
NAC, NCIGT, SLICER, SPL
Sponsors:
P41 EB015902/EB/NIBIB NIH HHS/United States
P41 EB015898/EB/NIBIB NIH HHS/United States
Generated Citation:
King F., Jayender J., Pieper S., Kapur T., Lasso A., Fichtinger G. An Immersive Virtual Reality Environment for Diagnostic Imaging. Int Conf Med Image Comput Comput Assist Interv. 2015 Oct;18(WS). Workshop on Interactive Medical Image Computing (IMIC).
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Advancements in and adoption of consumer virtual reality are currently being propelled by numerous upcoming devices such as the Oculus Rift. Although applications are currently growing around the entertainment field, widespread adoption of virtual reality devices opens up the potential for other applications that may have been unfeasible with past implementations of virtual reality. A virtual reality environment may provide an equal or larger viewing volume than what is provided with the use of multiple conventional displays while remaining comparatively cheaper and more portable. A virtual reality application for the viewing of multiple image slices was designed using: the Oculus Rift head-mounted display, Unity, 3D Slicer, and a gamepad controller. A web server acquires data from volumes loaded within 3D Slicer and forwards it to a Unity application that proceeds to render a scene for the Oculus Rift head- mounted display. Users may interact with the images adjusting windowing and leveling using the handheld gamepad controller. Multiple images could also be brought closer to the user for detailed inspection. Application usage was demonstrated with the simultaneous visualization of concurrent slices of a serial CT scan of a patient with a lung nodule. The tasks of identifying the lesion and determining the malignancy status by monitoring the growth of the lesion over time were performed successfully. Also demonstrated was the studying of multiple- sclerosis lesion evolution by visualization of a large time-series MRI dataset. A virtual reality environment for the purpose of aiding diagnostic radiology has been created and demonstrated with potential use cases.

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