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A Computer Assisted Planning System for the Placement of sEEG Electrodes in the Treatment of Epilepsy

  • G. Zombori
  • R. Rodionov
  • M. Nowell
  • M. A. Zuluaga
  • Matthew J. Clarkson
  • C. Micallef
  • B. Diehl
  • T. Wehner
  • A. Miserochi
  • Andrew W. McEvoy
  • John S. Duncan
  • Sśbastien Ourselin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8498)

Abstract

Approximately 20–30% of patients with focal epilepsy are medically refractory and may be candidates for curative surgery. Stereo EEG is the placement of multiple depth electrodes into the brain to record seizure activity and precisely identify the area to be resected. The two important criteria for electrode implantation are accurate navigation to the target area, and avoidance of critical structures such as blood vessels. In current practice neurosurgeons have no assistance in the planning of the electrode trajectories.

To provide assistance a real-time solution was developed that first identifies the potential entry points by analysing the entry-angle, then computes the associated risks for trajectories starting from these locations. The entry angle, the total length of the trajectory and distances to critical structures are presented in an interactive way that is integrated with standard electrode placement planning tools and advanced visualisation. We show that this improves the planning of intracranial implantation, with safer trajectories in less time.

Keywords

Deep Brain Stimulation Entry Point Target Point Critical Structure Focal Epilepsy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • G. Zombori
    • 1
  • R. Rodionov
    • 2
    • 3
  • M. Nowell
    • 2
    • 3
  • M. A. Zuluaga
    • 1
  • Matthew J. Clarkson
    • 1
  • C. Micallef
    • 2
    • 3
  • B. Diehl
    • 2
    • 3
  • T. Wehner
    • 2
    • 3
  • A. Miserochi
    • 2
    • 3
  • Andrew W. McEvoy
    • 2
    • 3
  • John S. Duncan
    • 2
    • 3
  • Sśbastien Ourselin
    • 1
    • 4
  1. 1.Centre for Medical Image ComputingUniversity College LondonUK
  2. 2.Dept. of Clinical and Experimental EpilepsyUCL Institute of NeurologyLondonUK
  3. 3.National Hospital for Neurology and Neurosurgery (NHNN)LondonUK
  4. 4.Dementia Research Centre, Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK

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