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Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
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Interactive computation and visualization of deep brain stimulation effects using Duality.

J Vorwerk1, D McCann1, J Krüger2,1

  • 1Scientific Computing & Imaging (SCI) Institute, Department of Bioengineering, University of Utah, Salt Lake City, UT-8f112, USA.

Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization
|August 4, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new pipeline for real-time deep brain stimulation (DBS) simulations on tablets. This accelerates treatment planning and programming for movement disorders by enabling interactive visualization during patient consultations.

Keywords:
DBScomputational steeringfinite element methodneuromodulationtelemedicine

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Area of Science:

  • Neurosurgery
  • Computational Neuroscience
  • Medical Imaging

Background:

  • Deep brain stimulation (DBS) is a standard treatment for movement disorders like Parkinson's disease.
  • Current DBS programming is time-consuming, requiring multiple lengthy clinic visits.
  • Existing computational models offer visualization but lack mobility or require precomputed simulations.

Purpose of the Study:

  • To develop a pipeline for near-real-time DBS simulations and interactive visualization on tablet devices.
  • To bridge the gap between advanced computational modeling and practical clinical application.
  • To provide a flexible and mobile solution for DBS parameter optimization.

Main Methods:

  • Utilized Duality software for interactive simulation result visualization.
  • Implemented a client-server architecture for remote computation and tablet-based interaction.
  • Developed a pipeline for near-real-time DBS simulation and visualization.

Main Results:

  • Demonstrated a pipeline enabling instantaneous visualization of DBS simulations on a tablet.
  • Showcased applications in postoperative programming and pre/intraoperative surgical planning.
  • Conducted performance analysis and a case study for postoperative programming.

Conclusions:

  • The developed pipeline significantly accelerates DBS programming and planning.
  • Interactive, real-time visualization on mobile devices enhances clinical workflow.
  • This approach offers a mobile and flexible solution for optimizing DBS therapy.