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Related Experiment Video

Updated: Jan 19, 2026

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Touchless scanner control to support MRI-guided interventions.

Benjamin Hatscher1,2, André Mewes3,4, Enrico Pannicke5,4

  • 1Faculty of Computer Science, University of Magdeburg, Magdeburg, Germany. benjamin.hatscher@ovgu.de.

International Journal of Computer Assisted Radiology and Surgery
|September 15, 2019
PubMed
Summary
This summary is machine-generated.

A new touchless, hand-gesture system for MRI-guided interventions offers comparable task completion and workload to traditional methods. This sterile human-computer interaction improves usability, removing the need for an assistant during procedures.

Keywords:
GesturesHuman–computer interactionInterventionalMagnetic resonance imagingRadiologyTask delegationTouchless interactionUsability

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Area of Science:

  • Medical Imaging
  • Interventional Radiology
  • Human-Computer Interaction

Background:

  • MRI-guided interventions offer radiation-free, minimally invasive treatment.
  • Current MRI systems present challenges for interventional interaction due to diagnostic focus, confined spaces, and sterile requirements.

Purpose of the Study:

  • To develop and evaluate a touchless, hand-gesture-based interaction system for MRI scanners during interventions.
  • To compare this novel interaction method with traditional task delegation.

Main Methods:

  • A custom MRI-compatible hand gesture sensor and specialized UI were developed.
  • A user study involving 10 radiologists compared gesture control to task delegation.

Main Results:

  • Task duration and subjective workload were comparable between gesture control and task delegation.
  • Gesture input was perceived as subjectively worse than task delegation but offered acceptable usability.
  • Task delegation was not rated as acceptable in terms of usability.

Conclusions:

  • The developed system provides suitable sterile human-computer interaction for MRI-guided percutaneous interventions.
  • This approach eliminates indirect scanner control via an assistant.
  • The gesture-based system achieves comparable task completion times and subjective workload with higher perceived usability.