Image-guided neurosurgical treatment of epilepsy (360G-Wellcome-106882_Z_15_Z)
One third of individuals developing epilepsy are uncontrolled with medication. If epilepsy arises from one part of the brain, surgical removal of this area can be curative. This needs to be balanced by the risk of causing new deficits such as paralysis or impaired speech. Improved diagnostic methods, and surgical precision, will improve the benefit/risk ratio of epilepsy surgery, and increase treatment availability. At University College London, teams led by Professor John Duncan and Professor Sebastien Ourselin have developed software to visualise the whole range of 3D brain imaging, including normal architecture, abnormalities of structure and function, arteries, veins, critical brain areas and nerve pathways, and the skull. This increases the safety and precision of implantation of the electrodes necessary to pinpoint the brain tissue that needs to be removed to cure the epilepsy. This project aims to implement automated planning of electrode trajectories and robotic systems for placing the electrodes into the brain. It will also establish methods for automated 3D planning of neurosurgical resections, so that surgery is optimal and quicker. Consequently, curative neurosurgery will be available more quickly to more individuals. The surgical advances pioneered here will be applicable in future to other procedures, such as taking biopsies and tumour surgery.Note this is a HICF award but funded solely by the Trust as a Translation Fund project
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Grant Details
Amount Awarded | 1757340 |
Applicant Surname | Duncan |
Approval Committee | Health Innovation Challenge Fund |
Award Date | 2015-04-16T00:00:00+00:00 |
Financial Year | 2014/15 |
Grant Programme: Title | Health Innovation Challenge Fund Award |
Internal ID | 106882/Z/15/Z |
Lead Applicant | Prof John Duncan |
Other Applicant(s) | Dr Aidan O'Keeffe, Dr Anna Miserocchi, Dr Beate Diehl, Dr Caroline Micallef, Dr Tim Wehner, Mr Andrew McEvoy, Mr Derek Reay, Prof Sebastien Ourselin |
Partnership Name | Health Innovation Challenge Fund |
Partnership Value | 1757340 |
Planned Dates: End Date | 2021-01-31T00:00:00+00:00 |
Planned Dates: Start Date | 2015-12-01T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | Greater London |