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An open‐source automated platform for three‐dimensional visualization of subdural electrodes using CT‐MRI coregistration
Author(s) -
Azarion Allan A.,
Wu Jue,
Pearce Allison,
Krish Veena T.,
Wagenaar Joost,
Chen Weixuan,
Zheng Yuanjie,
Wang Hongzhi,
Lucas Timothy H.,
Litt Brian,
Gee James C.,
Davis Kathryn A.
Publication year - 2014
Publication title -
epilepsia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.687
H-Index - 191
eISSN - 1528-1167
pISSN - 0013-9580
DOI - 10.1111/epi.12827
Subject(s) - computer science , artificial intelligence , computer vision , segmentation , software , magnetic resonance imaging , image registration , neuronavigation , landmark , surgical planning , radiology , medicine , image (mathematics) , programming language
Visualizing implanted subdural electrodes in three-dimensional (3D) space can greatly aid in planning, executing, and validating resection in epilepsy surgery. Coregistration software is available, but cost, complexity, insufficient accuracy, or validation limit adoption. We present a fully automated open-source application, based on a novel method using postimplant computerized tomography (CT) and postimplant magnetic resonance (MR) images, for accurately visualizing intracranial electrodes in 3D space.