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

Essert, Caroline; Haegelen, Claire; Lalys, Florent; Abadie, Alexandre; Jannin, Pierre

doi:10.1007/s11548-011-0651-8

Cited by 71 publications

(83 citation statements)

References 39 publications

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“…Afterward, they focused their work on the brain district, where similar optimization criteria have to be accounted for in case of deep brain stimulation (DBS) procedures. Cost values are assigned to crossed voxels according to their distance to important brain structures [14]. Shamir et al [27,28] proposed to automatically compute trajectories considering either the sum of each crossed voxel costs and the maximum crossed voxel cost, but did not provide any method for aggregating the two costs.…”

Section: Introductionmentioning

confidence: 99%

Multi-trajectories automatic planner for StereoElectroEncephaloGraphy (SEEG)

et al. 2014

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Purpose StereoElectroEncephaloGraphy (SEEG) is done to identify the epileptogenic zone of the brain using several multi-lead electrodes whose positions in the brain are preoperatively defined. Intracranial hemorrhages due to disruption of blood vessels can cause major complications of this procedure (<1 %). In order to increase the intervention safety, we developed and tested planning tools to assist neurosurgeons in choosing the best trajectory configuration. Methods An automated planning method was developed that maximizes the distance of the electrode from the vessels and avoids the sulci as entry points. The angle of the guiding screws is optimized to reduce positioning error. The planner was quantitatively and qualitatively compared with manually computed trajectories on 26 electrodes planned for three patients undergoing SEEG by four neurosurgeons. Quantitative comparison was performed computing for each trajectory using (a) the Euclidean distance from the closest vessel and (b) the incidence angle. Results Quantitative evaluation shows that automatic planned trajectories are safer in terms of distance from the closest vessel with respect to manually planned trajectories. Qualitative evaluation performed by four neurosurgeons showed that the automatically computed trajectories would have been pre-E. De Momi (B) · C. Caborni · G. Ferrigno Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy e-mail: elena.demomi@polimi.it

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Section: Introductionmentioning

confidence: 99%

Multi-trajectories automatic planner for StereoElectroEncephaloGraphy (SEEG)

et al. 2014

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“…Previous publications on pre-operative planning of depth electrode placement describe approaches to find the optimal path either automatically [4][5][6] or by assisting the decision making process of the neurosurgeon [7][8][9]. Another state of the art approach [10] proposed a system to assist planning at all stages of the planning from the selection of the target point to the selection of a safe entry point that minimizes the risk of hitting with vital structures.…”

Section: Introductionmentioning

confidence: 99%

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

Zombori

Rodionov

Nowell

et al. 2014

Lecture Notes in Computer Science

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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.

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“…A common practice is manual selection and assessment of the suitability of different entrance positions on the scalp surface of the patient in order to select an appropriate insertion path. To process, visualize and manipulate large volumes of 3D imaging datasets, automated surgical planning methods have been proposed in recent years [1], [2], [3], [4], [5], [6]. The current trend is to move as much of the planning tasks as possible into the operating room to avoid errors that can appear because of the discrepancies between pre-operative images and intra-operative images.…”

Section: Introductionmentioning

confidence: 99%

“…All the aforementioned works describe approaches to find the optimal path for neurosurgical interventions either automatically [4] or by assisting the decisionmaking process of the neurosurgeon [5], [6], [9]. State-ofthe-art approaches use criteria defined by the operator to generate color-coded projections of internal structures of the brain on the scalp surface.…”

Section: Introductionmentioning

confidence: 99%

GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

Rincon-Nigro

Navkar

Tsekos

et al. 2014

IEEE Comput. Grap. Appl.

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Abstract-Advances in computational methods and hardware platforms provide efficient processing of medical imaging data sets for surgical planning. In the case of neurosurgical interventions that are performed via a straight access path, planning entails selecting a pathway, from the scalp surface to the targeted area, that is of minimal risk to the patient. We propose a GPU-accelerated approach to enable quantitative estimation of the risk associated with a particular access path at interactive rates. It heavily exploits spatially accelerated data structures and efficient implementation of algorithms on GPUs. We evaluate the computational efficiency and scalability of the proposed approach through extensive performance comparisons, and show that interactive rates can be achieved even for high-resolution meshes. Through a user study, and feedback obtained from domain experts, we identify some of the potential benefits that our high-speed approach offers for pre-operative planning and intra-operative replanning of straight access neurosurgical interventions.

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

Abstract: A rule-based solver using pre-operative MR brain images can automatically compute relevant and accurate patient-specific DBS electrode trajectories.

Cited by 71 publications

References 39 publications

Multi-trajectories automatic planner for StereoElectroEncephaloGraphy (SEEG)

Multi-trajectories automatic planner for StereoElectroEncephaloGraphy (SEEG)

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

GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

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