title: Automatic trajectory planning of DBS neurosurgery from multi-modal MRI datasets.
abstract: We propose an automated method for preoperative trajectory planning of deep brain stimulation image-guided neurosurgery. Our framework integrates multi-modal MRI analysis (T1w, SWI, TOF-MRA) to determine an optimal trajectory to DBS targets (subthalamic nuclei and globus pallidus interna) while avoiding critical brain structures for prevention of hemorrhages, loss of function and other complications. Results show that our method is well suited to aggregate many surgical constraints and allows the analysis of thousands of trajectories in less than 1/10th of the time for manual planning. Finally, a qualitative evaluation of computed trajectories resulted in the identification of potential new constraints, which are not addressed in the current literature, to better mimic the decision-making of the neurosurgeon during DBS planning.
authors: McConnell Brain Imaging Centre, Montreal Neurological Institute, 3801 University Street, Montreal, Quebec H3A 2B4, Canada. silvain.beriault@mail.mcgill.ca
authors: Silvain
authors: S
authors: Bériault
authors: Fahd
authors: F
authors: Al Subaie
authors: Kelvin
authors: K
authors: Mok
authors: Abbas F
authors: AF
authors: Sadikot
authors: G Bruce
authors: GB
authors: Pike
mesh_terms: D001331:Automation; D001921:Brain / Q000473:pathology; D003661:Decision Support Techniques; D046690:Deep Brain Stimulation / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009493:Neurosurgery / Q000379:methods*; D019635:Neurosurgical Procedures / Q000379:methods*; D010300:Parkinson Disease / Q000601:surgery*; D012984:Software; D025321:Surgery, Computer-Assisted / Q000379:methods