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Enhanced co-registration methods to improve intracranial electrode contact localization
Journal article   Open access   Peer reviewed

Enhanced co-registration methods to improve intracranial electrode contact localization

Walter A. Hinds, Amrit Misra, Michael R. Sperling, Ashwini Sharan, Joseph I. Tracy and Karen A. Moxon
NeuroImage clinical, v 20, pp 398-406
2018
DOI: https://doi.org/10.1016/j.nicl.2018.07.026
PMID: 30128278
Featured in Collection :   UN Sustainable Development Goals @ Drexel
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https://doi.org/10.1016/j.nicl.2018.07.026View
Published, Version of Record (VoR)CC BY-NC-ND V4.0,  Open

Abstract

Depth ECoG Epilepsy Grid Localization MRI Strip
Electrode contact locations are important when planning tailored brain surgeries to identify pathological tissue targeted for resection and conversely avoid eloquent tissue. Current methods employ trained experts to use neuroimaging scans that are manually co-registered and localize contacts within ~2 mm. Yet, the state of the art is limited by either the expertise needed for each type of intracranial electrode or the inter-modality co-registration which increases error, reducing accuracy. Patients often have a variety of strips, grids and depths implanted; therefore, it is cumbersome and time-consuming to apply separate localization methods for each type of electrode, requiring expertise across different approaches. To overcome these limitations, a computational method was developed by separately registering an implant magnetic resonance image (MRI) and implant computed tomography image (CT) to the pre-implant MRI, then calculating an iterative closest point transformation using the contact locations extracted from the signal voids as ground truth. The implant MRI is robustly co-registered to the pre-implant MRI with a boundary-based registration algorithm. By extracting and utilizing ‘signal voids’ (the metal induced artifacts from the implant MRI) as electrode fiducials, the novel method is an all-in-one approach for all types of intracranial electrodes while eliminating inter-modality co-registration errors. The distance between each electrode centroid and the brain's surface was measured, for the proposed method as well as the state of the art method using two available software packages, SPM 12 and FSL 4.1. The method presented here achieves the smallest distances to the brain's surface for all strip and grid type electrodes, i.e. contacts designed to rest directly on the brain surface. We use one of the largest reported sample sizes in localization studies to validate this novel method for localizing different kinds of intracranial electrodes including grids, strips and depth electrodes. •Co-registration between intramodal pre- and implant images allows for accurate localization of all subdural electrode types.•Iterative closest point (ICP) assisted grid electrode localization is comparable to existing implant MRI based methods.•ICP is a novel, semi-automated method to localize grid, strip and depth electrodes with state-of-the-art accuracy

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13 citations in Web of Science
14 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Neuroimaging
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