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Workflow for Visualization of Neuroimaging Data with an Augmented Reality Device.

Christof Karmonik1, Timothy B Boone2, Rose Khavari2

  • 1MRI core, Houston Methodist Hospital Research Institute, 6565 Fannin Street, Houston, TX, 77030, USA. ckarmonik@houstonmethodist.org.

Journal of Digital Imaging
|July 8, 2017
PubMed
Summary

This study presents a workflow for visualizing 3D neuroimaging data using augmented reality (AR) devices. The method enables immersive exploration of brain structures and networks, enhancing understanding of complex neurological information.

Keywords:
3D segmentationAugemented realityFunctional magnetic resonance imaging

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Area of Science:

  • Neuroimaging
  • Computer Science
  • Medical Visualization

Background:

  • Augmented reality (AR) devices are becoming more accessible.
  • Visualizing complex neuroimaging data presents challenges.

Purpose of the Study:

  • To develop and demonstrate a workflow for importing 3D neuroimaging data into AR devices.
  • To enable immersive visualization of brain structures and networks.

Main Methods:

  • Developed a technical workflow and algorithm for 3D data import.
  • Utilized magnetic resonance imaging (MRI) derived surface-based segmentations.
  • Imported data into a head-mounted AR device.

Main Results:

  • Successfully imported and visualized the pial cortical surface.
  • Demonstrated visualization of fMRI BOLD maps.
  • Showcased reconstructed white matter tracts and functional connectivity brain networks.

Conclusions:

  • The presented workflow facilitates the use of AR for neuroimaging data visualization.
  • This technology offers a novel approach for exploring complex brain data immersively.