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

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

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.

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Authors and Affiliations

  1. LSIIT / University of Strasbourg, Pôle API, Boulevard S. Brant, 67412, Illkirch, France

    Caroline Essert

  2. INRIA Centre Rennes–Bretagne Atlantique / INSERM, Campus de Beaulieu, 35000, Rennes, France

    Claire Haegelen, Florent Lalys, Alexandre Abadie & Pierre Jannin

  3. Department of Neurosurgery, Pontchaillou University Hospital, 35000, Rennes, France

    Claire Haegelen

Authors
  1. Caroline Essert
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  2. Claire Haegelen
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  3. Florent Lalys
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  4. Alexandre Abadie
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  5. Pierre Jannin
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Correspondence to Caroline Essert.

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Essert, C., Haegelen, C., Lalys, F. et al. Automatic computation of electrode trajectories for Deep Brain Stimulation: a hybrid symbolic and numerical approach. Int J CARS 7, 517–532 (2012). https://doi.org/10.1007/s11548-011-0651-8

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  • DOI: https://doi.org/10.1007/s11548-011-0651-8

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