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Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
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Evaluation of Interactive Visualization on Mobile Computing Platforms for Selection of Deep Brain Stimulation

Christopher R Butson, Georg Tamm, Sanket Jain

    IEEE Transactions on Visualization and Computer Graphics
    |March 28, 2012
    PubMed
    Summary

    ImageVis3D Mobile, an interactive visualization tool, aids clinicians in selecting deep brain stimulation (DBS) settings for Parkinson's disease patients. This system significantly reduces the time needed for optimal therapy selection.

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    Stimulation Location Determination using a 3D Digitizer with High-Definition Transcranial Direct Current Stimulation

    Published on: December 20, 2019

    Area of Science:

    • Neuromodulation
    • Medical Visualization
    • Computational Neuroscience

    Background:

    • Patient-specific models are increasingly used for neuromodulation therapies like deep brain stimulation (DBS).
    • Clinical integration of these complex models is hindered by specialized software and expertise requirements.
    • Optimizing DBS settings for conditions like Parkinson's disease is challenging and often lacks visual guidance.

    Purpose of the Study:

    • To evaluate the utility of ImageVis3D Mobile, an interactive visualization system for mobile devices, in clinical decision-making for DBS therapy.
    • To assess the accuracy and efficiency of selecting DBS electrode contacts and stimulation parameters using ImageVis3D Mobile compared to standard clinical practice.

    Main Methods:

    • ImageVis3D Mobile was used to visualize patient-specific DBS models for Parkinson's disease.
    • Movement disorder clinicians selected DBS electrode contacts and stimulation settings using the software.
    • Outcomes were compared against settings determined through standard clinical practice, including time efficiency.

    Main Results:

    • DBS settings selected with ImageVis3D Mobile were comparable to those from standard clinical practice.
    • The time required to determine optimal DBS settings was significantly reduced using the visualization system.
    • The system demonstrated potential for guiding clinical decisions at the point of care.

    Conclusions:

    • Interactive mobile visualization systems like ImageVis3D Mobile can streamline the selection of deep brain stimulation settings.
    • This technology offers a practical solution for integrating complex patient-specific models into clinical workflows.
    • The approach shows promise for improving efficiency and potentially outcomes in neuromodulation therapies beyond DBS.