A co-registration approach for electrocorticogram electrode localization using post-implantation MRI and CT of the head

Po T. Wang, Christine E. King, Susan J. Shaw, David E. Millett, Charles Y. Liu, Luis A. Chui, Zoran Nenadic, An H. Do

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Electrocorticogram (ECoG) signals are acquired from electrodes that are surgically implanted into the subdural space of the brain. Although this procedure is usually performed for clinical purposes such as defining seizure locations and/or brain mapping, ECoG signals can also be used for characterizing the electrophysiology underlying various behaviors or for brain-computer interface applications. Therefore, defining the anatomical location of ECoG electrodes is an important process for contextual interpretation of the results. Current techniques utilize semi-automated statistical methods to co-register ECoG electrodes from either post-implantation X-rays or computer tomography (CT) images with a pre-implantation magnetic resonance imaging (MRI) of the brain. However, due to brain deformation caused by surgical electrode implantation, ECoG electrode locations must be projected onto the brain surface of the pre-implantation MRI, which may result in error. The authors present an exploratory study where post-implantation MRI images were successfully used for co-registration with post-implantation CT images of ECoG electrodes without the need for projection. By using postimplantation CT and MRI images which preserve the brain deformation, error in defining ECoG electrode locations may be reduced or eliminated.

Original languageEnglish (US)
Title of host publicationInternational IEEE/EMBS Conference on Neural Engineering, NER
Pages525-528
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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