Automatic Optimization of Depth Electrode Trajectory Planning

  • Rina ZelmannEmail author
  • Silvain Beriault
  • Kelvin Mok
  • Claire Haegelen
  • Jeff Hall
  • G. Bruce Pike
  • Andre Olivier
  • D. Louis Collins
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8361)


This paper presents a fully automatic procedure for optimization of depth electrode implantation planning in epilepsy. To record intracranial EEG in some patients with intractable epilepsy, depth electrodes are implanted through holes in the skull. The proposed fully automatic procedure maximizes recording coverage of the target volume by estimating the EEG recorded from each contact, while minimizing the risk of approaching vessels and other critical structures. All structures, including the hippocampus and amygdala were automatically segmented. We retrospectively validated the procedure for mesial temporal lobe implantations in 11 hemispheres. The automatic trajectories recorded from a larger volume of interest than the original manually selected trajectories while better avoiding the segmented structures. The procedure is integrated into a neuronavigation system enabling the surgeon to visualize the selected trajectories from an ordered list and, if necessary, enables re-planning a trajectory in near real time.


Depth electrode implantation Trajectory optimization EEG recording maximization Automatic target segmentation Image guided neurosurgery 



This study was supported in part by CIHR MOP-97820 and by MNI CIBC postdoctoral fellowship in brain imaging.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Rina Zelmann
    • 1
    Email author
  • Silvain Beriault
    • 1
  • Kelvin Mok
    • 1
  • Claire Haegelen
    • 1
  • Jeff Hall
    • 1
  • G. Bruce Pike
    • 1
  • Andre Olivier
    • 1
  • D. Louis Collins
    • 1
  1. 1.Neurology and NeurosurgeryMontreal Neurological InstituteMontrealCanada

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