A multi-modal approach to computer-assisted deep brain stimulation trajectory planning

Bériault, Silvain; Subaie, Fahd Al; Collins, D. Louis; Sadikot, Abbas F.; Pike, G. Bruce

doi:10.1007/s11548-012-0768-4

Cited by 71 publications

(73 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some other groups made also a qualitative evaluation of their automatic planner. Bériault et al [4] evaluated the results of their automatic planner not only on the basis of the cost function minimization, but also considering qualitative criteria. Liu et al [22] reported on the qualitative evaluation performed by two neurosurgeons on 20 DBS trajectories: automatically computed trajectories were preferred in 25 % of the cases.…”

Section: Discussionmentioning

confidence: 99%

“…Qualitative trajectory judgments are therefore a more comprehensive analysis of the planner performances that cannot be disregarded when designing an automatic method. In [4], the vessels and the ventricles represent the structures that have to be avoided, and the best trajectory has to avoid sulci and crossing the midline too. The final trajectory score is computed combining the maximum risk and the sum of all the risks parameters for all surgical constraints using a weighted cost function.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-trajectories automatic planner for StereoElectroEncephaloGraphy (SEEG)

et al. 2014

View full text Add to dashboard Cite

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

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-trajectories automatic planner for StereoElectroEncephaloGraphy (SEEG)

et al. 2014

View full text Add to dashboard Cite

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

“…In recent years there has been great interest in the development of computer assisted planning systems for optimizing intracranial depth electrode insertion [3][4][5][6]. These methods rely on effective extraction of critical brain landmarks with high accuracy and robustness.…”

Section: Introductionmentioning

confidence: 99%

SEEG Trajectory Planning: Combining Stability, Structure and Scale in Vessel Extraction

Zuluaga

Rodionov

Nowell

et al. 2014

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

View full text Add to dashboard Cite

Abstract. StereoEEG implantation is performed in patients with epilepsy to determine the site of the seizure onset zone. Intracranial haemorrhage is the most common complication associated to implantation carrying a risk that ranges from 0.6 to 2.7%, with significant associated morbidity [2]. SEEG planning is done pre-operatively to identify avascular trajectories for the electrodes. In current practice neurosurgeons have no assistance in the planning of the electrode trajectories. There is great interest in developing computer assisted planning systems that can optimize the safety profile of electrode trajectories, maximizing the distance to critical brain structures. In this work, we address the problem of blood vessel extraction for SEEG trajectory planning. The proposed method exploits the availability of multi-modal images within a trajectory planning system to formulate a vessel extraction framework that combines the scale and the neighbouring structure of an object. We validated the proposed method in twelve multi-modal patient image sets. The mean Dice similarity coefficient (DSC) was 0.88±0.03, representing a statistically significantly improvement when compared to the semi-automated single rater, single modality segmentation protocol used in current practice (DSC=0.78±0.02).

show abstract

A multi-modal approach to computer-assisted deep brain stimulation trajectory planning

Cited by 71 publications

References 50 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

SEEG Trajectory Planning: Combining Stability, Structure and Scale in Vessel Extraction

Contact Info

Product

Resources

About