Abstract

Patients undergoing Magnetic Resonance Imaging (MRI) often experience anxiety and sometimes distress prior to and during scanning. Here a full MRI compatible virtual reality (VR) system is described and tested with the aim of creating a radically different experience. Potential benefits could accrue from the strong sense of immersion that can be created with VR, which could create sense experiences designed to avoid the perception of being enclosed and could also provide new modes of diversion and interaction that could make even lengthy MRI examinations much less challenging. Most current VR systems rely on head mounted displays combined with head motion tracking to achieve and maintain a visceral sense of a tangible virtual world, but this technology and approach encourages physical motion, which would be unacceptable and could be physically incompatible for MRI. The proposed VR system uses gaze tracking to control and interact with a virtual world. MRI compatible cameras are used to allow real time eye tracking and robust gaze tracking is achieved through an adaptive calibration strategy in which each successive VR interaction initiated by the subject updates the gaze estimation model. A dedicated VR framework has been developed including a rich virtual world and gaze-controlled game content. To aid in achieving immersive experiences physical sensations, including noise, vibration and proprioception associated with patient table movements, have been made congruent with the presented virtual scene. A live video link allows subject-carer interaction, projecting a supportive presence into the virtual world.

Details

Title
An eye tracking based virtual reality system for use inside magnetic resonance imaging systems
Author
Qian Kun 1 ; Arichi Tomoki 2 ; Price, Anthony 1 ; Dall’Orso Sofia 3 ; Eden, Jonathan 4 ; Noh Yohan 5 ; Rhode Kawal 1 ; Burdet Etienne 4 ; Neil, Mark 6 ; David, Edwards A 1 ; Hajnal, Joseph V 1 

 King’s College London, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, London, UK (GRID:grid.13097.3c) (ISNI:0000 0001 2322 6764) 
 King’s College London, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, London, UK (GRID:grid.13097.3c) (ISNI:0000 0001 2322 6764); Imperial College London, Department of Bioengineering, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 Chalmers University of Technology, Department of Electrical Engineering, Gothenburg, Sweden (GRID:grid.5371.0) (ISNI:0000 0001 0775 6028) 
 Imperial College London, Department of Bioengineering, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 Brunel University London, Department of Mechanical and Aerospace Engineering, London, UK (GRID:grid.7728.a) (ISNI:0000 0001 0724 6933) 
 Imperial College London, Department of Physics, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2560156891
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.