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Related Experiment Video

Updated: Apr 19, 2026

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Lead-DBS: a toolbox for deep brain stimulation electrode localizations and visualizations.

Andreas Horn1, Andrea A Kühn2

  • 1Department of Neurology, Movement Disorders Unit, Charité - University Medicine (CVK), Berlin, Germany; Center for Adaptive Rationality (ARC), Max-Planck-Institute for Human Development, Berlin, Germany.

Neuroimage
|December 16, 2014
PubMed
Summary

A new toolbox accurately reconstructs deep brain stimulation (DBS) electrode placement using post-operative imaging, aiding clinical evaluation and optimizing treatment. This semi-automated method improves DBS lead and contact localization for better patient outcomes.

Keywords:
Brain anatomyContact localizationDeep brain stimulationPallidumSubthalamic nucleusThalamus

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Accurate deep brain stimulation (DBS) electrode placement is critical for treatment efficacy and safety.
  • Post-operative visualization of DBS electrode trajectories and contacts aids in clinical assessment and optimization.
  • Current methods for electrode localization can be time-consuming and require manual expertise.

Purpose of the Study:

  • To introduce a novel toolbox for reconstructing deep brain stimulation (DBS) lead electrode trajectories and contact placements.
  • To enable precise and efficient localization of DBS hardware using post-operative imaging.
  • To provide a tool for improved clinical evaluation of DBS effects and adverse events.

Main Methods:

  • Development of a semi-automated toolbox utilizing post-operative MRI/CT scans.
  • An algorithm detects electrode artifacts and reconstructs lead trajectories by isolating centroids.
  • Electrode contacts are reconstructed using pre-defined templates and refined manually.

Main Results:

  • The algorithm achieved automated lead reconstruction in 98% of electrodes.
  • Automated contact reconstruction was successful in 69% of electrodes.
  • With manual refinement, 118 out of 120 electrode leads and contacts were localized.

Conclusions:

  • The developed toolbox offers a precise and fast semi-automated procedure for DBS contact reconstruction.
  • Direct export of results to 2D/3D views facilitates understanding of contact-to-target relationships.
  • The open-source toolbox is publicly available for research and clinical application.