Magnetic Resonance Imaging Visualization in Fully Immersive Virtual Reality

Hubert Cecotti, Quentin Richard, Joseph Gravellier, M Callaghan

Research output: Contribution to conferencePaper

Abstract

The availability of commercial fully immersive virtual
reality systems allows the proposal and development of
new applications that offer novel ways to visualize and interact
with multidimensional neuroimaging data. We propose a system
for the visualization and interaction with Magnetic Resonance
Imaging (MRI) scans in a fully immersive learning environment
in virtual reality. The system extracts the different slices from
a DICOM file and presents the slices in a 3D environment
where the user can display and rotate the MRI scan, and
select the clipping plane in all the possible orientations. The 3D
environment includes two parts: 1) a cube that displays the MRI
scan in 3D and 2) three panels that include the axial, sagittal,
and coronal views, where it is possible to directly access a desired
slice. In addition, the environment includes a representation of the
brain where it is possible to access and browse directly through
the slices with the controller. This application can be used both
for educational purposes as an immersive learning tool, and by
neuroscience researchers as a more convenient way to browse
through an MRI scan to better analyze 3D data.
Original languageEnglish
Pages1
Number of pages4
Publication statusAccepted/In press - 19 Mar 2020
Event6th International Conference of the Immersive Learning Research Network - Online and in Virtual Reality
Duration: 21 Jun 202025 Jun 2020
https://immersivelrn.org/ilrn2020/

Conference

Conference6th International Conference of the Immersive Learning Research Network
Abbreviated titleiLRN 2020
Period21/06/2025/06/20
Internet address

Keywords

  • virtual reality
  • neuroimaging
  • MRI

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  • Cite this

    Cecotti, H., Richard, Q., Gravellier, J., & Callaghan, M. (Accepted/In press). Magnetic Resonance Imaging Visualization in Fully Immersive Virtual Reality. 1. Paper presented at 6th International Conference of the Immersive Learning Research Network, .