US 11,756,689 B2
Proficiency assessment system and method for deep brain stimulation (DBS)
Gabor Fichtinger, Kingston (CA); Matthew Holden, Kingston (CA); Pierre Jannin, Rennes (FR); Claire Haegelen, Montgermont (FR); and Yulong Zhao, Rennes (FR)
Assigned to UNIVERSITÉ DE RENNES 1, Rennes (FR); INSERM—INSTITUT NATIONAL DE LA SANTÉ ET DE LA RECHERCHE MÉDICALE, Paris (FR); CENTRE HOSPITALIER UNIVERSITAIRE PONTCHAILLOU, Rennes (FR); and QUEEN'S UNIVERSITY, Kingston (CA)
Appl. No. 16/754,089
Filed by UNIVERSITÉ DE RENNES 1, Rennes (FR); INSERM—INSTITUT NATIONAL DE LA SANTÉ ET DE LA RECHERCHE MÉDICALE, Paris (FR); CENTRE HOSPITALIER UNIVERSITAIRE PONTCHAILLOU, Rennes (FR); and QUEEN'S UNIVERSITY, Kingston (CA)
PCT Filed Oct. 9, 2018, PCT No. PCT/EP2018/077446
§ 371(c)(1), (2) Date Apr. 6, 2020,
PCT Pub. No. WO2019/072829, PCT Pub. Date Apr. 18, 2019.
Claims priority of application No. 17306370 (EP), filed on Oct. 11, 2017.
Prior Publication US 2020/0335221 A1, Oct. 22, 2020
Int. Cl. G16H 50/50 (2018.01); G16H 40/60 (2018.01); A61N 1/05 (2006.01)
CPC G16H 50/50 (2018.01) [G16H 40/60 (2018.01); A61N 1/0534 (2013.01)] 10 Claims
OG exemplary drawing
 
1. Method for simulating a deep-brain stimulation in a computer-assisted platform, comprising steps of:
as part of a training process of a training neurosurgeon:
providing to the training neurosurgeon, through a man-machine interface, visual information of a pre-operative situation, including a representation of a brain, wherein the representation of the brain comprises a three-dimensional (3D) representation;
receiving inputs of said training neurosurgeon on said man-machine interface indicating movement around the 3D representation and a change in one or more display parameters of the man-machine interface;
providing via the man-machine interface the movement around the 3D representation and changing the one or more display parameters of the man-machine interface in response to receiving the inputs of said training neurosurgeon indicating the movement around the 3D representation and the change in the one or more display parameters;
monitoring the inputs of said training neurosurgeon on said man-machine interface, until a trajectory is determined between an entry point and a target for placement of an electrode;
comparing said trajectory of said training neurosurgeon to a set of previously-recorded trajectories of other neurosurgeons for said pre-operative situation stored in a database; and
determining an overall measurement representative of a quality of said trajectory of said training neurosurgeon compared to the trajectories of said set of previously-recorded trajectories based on the comparing; and
providing feedback to the training neurosurgeon via the man-machine interface, the feedback comprising textual information including a distance to a reference point, an angle to a reference target, and a risk of a planned trajectory.