The interactive electrode localization utility: software for automatic sorting and labeling of intracranial subdural electrodes
| Autor: | Deborah I. Vallejo, Darin D. Dougherty, Wei Tang, Alik S. Widge, Noam Peled, Steven M. Stufflebeam, Sydney S. Cash, Mia Borzello, Emad N. Eskandar, Roan A. LaPlante |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
Biomedical Engineering Image registration Health Informatics 050105 experimental psychology Article 03 medical and health sciences 0302 clinical medicine Software Imaging Three-Dimensional sort Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Computer vision Epilepsy business.industry 05 social sciences Process (computing) Sorting Brain Electroencephalography General Medicine Grid Computer Graphics and Computer-Aided Design Pipeline (software) Magnetic Resonance Imaging Computer Science Applications Electrodes Implanted ROC Curve Surgery Computer Vision and Pattern Recognition Artificial intelligence business Subdural electrodes Tomography X-Ray Computed 030217 neurology & neurosurgery Algorithms |
| Zdroj: | International journal of computer assisted radiology and surgery. 12(10) |
| ISSN: | 1861-6429 |
| Popis: | 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. 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. 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. 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. |
| Databáze: | OpenAIRE |
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