Refining Planning for Stereoelectroencephalography: A Prospective Validation of Spatial Priors for Computer-Assisted Planning With Application of Dynamic Learning

Refining Planning for Stereoelectroencephalography: A Prospective Validation of Spatial Priors for Computer-Assisted Planning With Application of Dynamic Learning

Objective: Stereoelectroencephalography (SEEG) is a procedure in which many electrodes are stereotactically implanted within different regions of the brain to estimate the epileptogenic zone in patients with drug-refractory focal epilepsy. Computer-assisted planning (CAP) improves risk scores, gray...

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Bibliographic Details
Main Authors: Vejay N. Vakharia, Rachel E. Sparks, Alejandro Granados, Anna Miserocchi, Andrew W. McEvoy, Sebastien Ourselin, John S. Duncan
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Neurology
Subjects:
stereoelectroencephalography
EpiNav
computer-assisted planning
machine learning
spatial priors
epilepsy surgery
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2020.00706/full

Internet

https://www.frontiersin.org/article/10.3389/fneur.2020.00706/full

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