Erschienen in:
03.12.2016 | Original Article
The interactive electrode localization utility: software for automatic sorting and labeling of intracranial subdural electrodes
verfasst von:
Roan A. LaPlante, Wei Tang, Noam Peled, Deborah I. Vallejo, Mia Borzello, Darin D. Dougherty, Emad N. Eskandar, Alik S. Widge, Sydney S. Cash, Steven M. Stufflebeam
Erschienen in:
International Journal of Computer Assisted Radiology and Surgery
|
Ausgabe 10/2017
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Abstract
Purpose
Existing methods for sorting, labeling, registering, and across-subject localization of electrodes in intracranial encephalography (iEEG) may involve laborious work requiring manual inspection of radiological images.
Methods
We describe a new open-source software package, the interactive electrode localization utility which presents a full pipeline for the registration, localization, and labeling of iEEG electrodes from CT and MR images. In addition, we describe a method to automatically sort and label electrodes from subdural grids of known geometry.
Results
We validated our software against manual inspection methods in twelve subjects undergoing iEEG for medically intractable epilepsy. Our algorithm for sorting and labeling performed correct identification on 96% of the electrodes.
Conclusions
The sorting and labeling methods we describe offer nearly perfect performance and the software package we have distributed may simplify the process of registering, sorting, labeling, and localizing subdural iEEG grid electrodes by manual inspection.