Statistical study of parameters for deep brain stimulation automatic preoperative planning of electrodes trajectories.

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Date publication

décembre 2015


International journal of computer assisted radiology and surgery


Membres identifiés du Cancéropôle Est :

Tous les auteurs :
Essert C, Fernandez-Vidal S, Capobianco A, Haegelen C, Karachi C, Bardinet E, Marchal M, Jannin P


Automatic methods for preoperative trajectory planning of electrodes in deep brain stimulation are usually based on the search for a path that resolves a set of surgical constraints to propose an optimal trajectory. The relative importance of each surgical constraint is usually defined as weighting parameters that are empirically set beforehand. The objective of this paper is to analyze the use of these parameters thanks to a retrospective study of trajectories manually planned by neurosurgeons. For that purpose, we firstly retrieved weighting factors allowing to match neurosurgeons manually planned choice of trajectory on each retrospective case; secondly, we compared the results from two different hospitals to evaluate their similarity; and thirdly, we compared the trends to the weighting factors empirically set in most current approaches.

Mots clés

Deep brain stimulation, Neurosurgery, Statistical analysis, Surgical planning, Trajectory optimization


Int J Comput Assist Radiol Surg. 2015 12;10(12):1973-83