Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment
- Submitting institution
-
University College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 16208
- Type
- D - Journal article
- DOI
-
10.1007/s11548-016-1452-x
- Title of journal
- International Journal of Computer Assisted Radiology and Surgery
- Article number
- -
- First page
- 1
- Volume
- 12
- Issue
- 1
- ISSN
- 1861-6410
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
11
- Research group(s)
-
-
- Citation count
- 21
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- An automated method to simultaneously plan all electrodes for stereo-electroencephalography (SEEG) is presented. This is the first ever paper demonstrating the feasibility to optimise the trajectory for all electrodes (typically up to 15) simultaneously improving safety, sampling coverage, and length by using a depth-first search algorithm. The software achieves this in about a minute, where originally manual planning took 2-3 hours. The IP underlying this software has been patented and licensing is currently being discussed with Medtronic, the market leader in neurosurgical navigation solutions.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -