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A Surgeon Specific Automatic Path Planning Algorithm for Deep Brain Stimulation.

Yuan Liu1, Benoit M Dawant1, Srivatsan Pallavaram1

  • 1Dept. of Electrical Eng. and Comp. Science, Vanderbilt University, Nashville, TN 37235, USA.

Proceedings of Spie--The International Society for Optical Engineering
|December 26, 2025
PubMed
Summary
This summary is machine-generated.

This study developed a computer-assisted trajectory planning system for deep brain stimulation surgery. The system mimics surgeon preferences, showing potential for safer and standardized neurological treatments.

Keywords:
Deep brain stimulationcomputer-assisted surgerypath planning

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Area of Science:

  • Neurosurgery
  • Medical Robotics
  • Computational Neuroscience

Background:

  • Deep brain stimulation (DBS) requires precise electrode placement for treating neurological disorders.
  • Safe DBS surgery necessitates avoiding critical brain structures during trajectory planning.
  • Current automated trajectory planning lacks consensus among neurosurgeons regarding optimal parameters.

Purpose of the Study:

  • To develop a trajectory planning system that learns and mimics individual neurosurgeon preferences.
  • To create a foundation for standardizing surgical approaches in DBS through learned parameters.
  • To validate an approach for computer-assisted path planning in DBS surgery.

Main Methods:

  • Developed a trajectory planning algorithm incorporating parameters for individual surgeon preferences.
  • Designed the system to potentially learn these parameters automatically in the future.
  • Conducted a blinded study where two neurosurgeons compared manual and computed trajectories.

Main Results:

  • Neurosurgeons preferred the computed trajectory over their manual one in 10 out of 40 cases.
  • The computed trajectory was deemed equivalent or acceptable in 27 of the remaining cases.
  • Demonstrated the clinical utility of computer-assisted path planning in DBS.

Conclusions:

  • The developed trajectory planning approach can effectively mimic individual surgeon preferences.
  • Computer-assisted path planning shows significant potential for improving DBS surgery safety and standardization.
  • This work represents a crucial first step towards intelligent, personalized surgical planning systems.