Automatic Trajectory Planner for StereoElectroEncephaloGraphy Procedures: A Retrospective Study

In StereoElectroEncephaloGraphy (SEEG) procedures, intracerebral electrodes are implanted in order to identify the epileptogenic zone in drug-resistant epileptic patients. This paper presents an automatic multitrajectory planner that computes the best trajectory in terms of distance from vessels and...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2013-04, Vol.60 (4), p.986-993
Main Authors: De Momi, Elena, Caborni, Chiara, Cardinale, Francesco, Castana, Laura, Casaceli, Giuseppe, Cossu, Massimo, Antiga, Luca, Ferrigno, Giancarlo
Format: Article
Language:English
Subjects:
Adolescent
Adult
Algorithms
Brain
Computer-assisted robotic surgery
constrained multiparametric optimization
Electrodes
Electroencephalography - methods
Epilepsy
epilepsy surgery
Humans
Image Processing, Computer-Assisted - methods
Manuals
Neurosurgery
neurosurgical probes trajectory planning
Neurosurgical Procedures
Planning
Retrospective Studies
Robotics - methods
StereoElectroEncephaloGrapy (SEEG)
stereotaxis
Studies
Surgery, Computer-Assisted - methods
Trajectory
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In StereoElectroEncephaloGraphy (SEEG) procedures, intracerebral electrodes are implanted in order to identify the epileptogenic zone in drug-resistant epileptic patients. This paper presents an automatic multitrajectory planner that computes the best trajectory in terms of distance from vessels and guiding screws angle, once the candidate entry and target regions are quickly and roughly defined. The planning process is designed also to spare some brain structures, such as cella media and trigone of the lateral ventricles and brain stem. The planner was retrospectively evaluated on 15 patients who had previously undergone SEEG investigation. Quantitative comparison was performed computing for each patient and for each electrode trajectory 1) the Euclidean distance from the closest vessel; 2) the trajectory incidence angle (guiding screws angle); and 3) the sulcality value. The automatic planner proved to satisfy the clinical requirements, planning safe trajectories in a clinical-compatible timeframe. Qualitative evaluation performed by three neurosurgeons showed that the automatically computed trajectories would have been accepted by them.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2012.2231681