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

Caroline Essert 1 Claire Haegelen 2 Florent Lalys 2 Alexandre Abadie 2 Pierre Jannin 2
2 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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.
Type de document :
Article dans une revue
International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2011, 7 (4), pp.517-532. 〈10.1007/s11548-011-0651-8〉
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https://hal.inria.fr/inria-00637291
Contributeur : Alexandre Abadie <>
Soumis le : lundi 31 octobre 2011 - 16:46:48
Dernière modification le : mercredi 11 avril 2018 - 01:57:22

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Caroline Essert, Claire Haegelen, Florent Lalys, Alexandre Abadie, Pierre Jannin. Automatic computation of electrode trajectories for Deep Brain Stimulation: a hybrid symbolic and numerical approach. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2011, 7 (4), pp.517-532. 〈10.1007/s11548-011-0651-8〉. 〈inria-00637291〉

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