Automatic computation of electrode trajectories for Deep Brain Stimulation: a hybrid symbolic and numerical approach

Int J Comput Assist Radiol Surg. 2012 Jul;7(4):517-32. doi: 10.1007/s11548-011-0651-8. Epub 2011 Aug 25.


Purpose: The optimal electrode trajectory is needed to assist surgeons in planning Deep Brain Stimulation (DBS). A method for image-based trajectory planning was developed and tested.

Methods: Rules governing the DBS surgical procedure were defined with geometric constraints. A formal geometric solver using multimodal brain images and a template built from 15 brain MRI scans were used to identify a space of possible solutions and select the optimal one. For validation, a retrospective study of 30 DBS electrode implantations from 18 patients was performed. A trajectory was computed in each case and compared with the trajectories of the electrodes that were actually implanted.

Results: Computed trajectories had an average difference of 6.45° compared with reference trajectories and achieved a better overall score based on satisfaction of geometric constraints. Trajectories were computed in 2 min for each case.

Conclusion: A rule-based solver using pre-operative MR brain images can automatically compute relevant and accurate patient-specific DBS electrode trajectories.

Publication types

  • Validation Study

MeSH terms

  • Algorithms
  • Automation
  • Brain / anatomy & histology
  • Brain / surgery
  • Decision Making
  • Deep Brain Stimulation / instrumentation*
  • Electrodes, Implanted*
  • Humans
  • Image Enhancement / methods
  • Imaging, Three-Dimensional
  • Magnetic Resonance Imaging*
  • Movement Disorders / therapy*
  • Retrospective Studies
  • Software
  • Stereotaxic Techniques
  • Surveys and Questionnaires
  • Tomography, X-Ray Computed*