The interactive electrode localization utility: software for automatic sorting and labeling of intracranial subdural electrodes

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

Research output: Contribution to journalArticle

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1829-1837
Number of pages9
JournalInternational Journal of Computer Assisted Radiology and Surgery
Issue number10
StatePublished - Oct 1 2017



  • CT
  • Electrocorticography
  • Image registration
  • MRI
  • Software

ASJC Scopus subject areas

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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