Evaluation of Interactive Visualization on Mobile Computing Platforms for Selection of Deep Brain Stimulation...

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.