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The MRItab: A MR-compatible touchscreen with video-display.

Sophia Vinci-Booher1, Jeffrey Sturgeon1, Thomas James1

  • 1Department of Psychological and Brain Sciences at Indiana University, United States.

Journal of Neuroscience Methods
|May 28, 2018
PubMed
Summary
This summary is machine-generated.

Researchers developed the MRItab, a novel touchscreen interface for Magnetic Resonance Imaging (MRI) environments. This device enables natural human-computer interaction during MRI scans without compromising image quality.

Keywords:
Computer peripheralsEquipment and suppliesEquipment designSensory feedbackfMRI

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Area of Science:

  • Medical Imaging
  • Human-Computer Interaction
  • Biomedical Engineering

Background:

  • Touchscreen interfaces offer rich user interactions but are challenging in Magnetic Resonance Imaging (MRI) due to electromagnetic field interference.
  • Conventional MR-compatible displays are placed outside the MRI bore or beyond reach, preventing direct touch interaction.

Purpose of the Study:

  • To introduce and evaluate the MRItab, an MR-compatible touchscreen device for use within the MRI environment.
  • To assess the MRItab's MR safety and its impact on MRI image quality.

Main Methods:

  • The MRItab utilizes adapted off-the-shelf components with specialized signal-driver circuitry and shielding.
  • The device was tested for its functionality and impact on MRI image acquisition.

Main Results:

  • The MRItab demonstrated MR compatibility, functioning without interference from the MRI scanner.
  • No adverse effects on MRI image quality or data acquisition were observed.
  • Participants interacted naturally with the MRItab during scanning.

Conclusions:

  • The MRItab is the first MR-compatible touchscreen with video-display capabilities for direct interaction within the MRI environment.
  • It offers high ecological validity by allowing direct visualization of hand interaction with the screen.
  • The MRItab provides a significant methodological advantage for research requiring realistic human-computer interaction in MRI.