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

Citation:

LaPlante R, Tang W, Peled N, Vallejo DI, Borzello M, Dougherty DD, Eskandar EN, Widge AS, Cash SS, Stufflebeam SM. The interactive electrode localization utility: software for automatic sorting and labeling of intracranial subdural electrodes. International Journal of Computer Assisted Radiology and Surgery. 2017;12 (10) :1829–37.

Abstract:

Existing methods for sorting, labeling, registering, and across-subject localization of electrodes in intracranial encephalography (iEEG) often take hours of laborious work requiring manual inspection of radiological images. Methods We describe a method to automatically sort and label electrodes from subdural grids of known geometry. We also describe a new software package, the Interactive Electrode Localization Utility (IELU) which implements our sorting/labeling algorithm and presents a full pipeline for the registration, localization, and labeling of iEEG electrodes from CT and MR images. Results We validated our software against well established manual inspection methods in sixth subjects undergoing iEEG for medically intractable epilepsy. Our algorithm for sorting and labeling correctly identified 98% of the electrodes. Conclusions The sorting and labeling algorithm we describe offers nearly perfect performance and the software package we have distributed may lessen the onerous burden of registering sorting, labeling, and localizing iEEG electrodes by manual inspection.

Last updated on 12/26/2017