Localization, correlation, and visualization of electroencephalographic surface electrodes and brain anatomy in epilepsy studies

Benjamin H. Brinkmann, Terence J. O'Brien, Richard A. Robb, Frank W. Sharbrough

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

4 Scopus citations

Abstract

Advances in neuroimaging have enhanced the clinician's ability to localize the epileptogenic zone in focal epilepsy, but 20-50 percent of these cases still remain unlocalized. Many sophisticated modalities have been used to study epilepsy, but scalp electrode recorded electroencephalography is particularly useful due to its noninvasive nature and excellent temporal resolution. This study is aimed at specific locations of scalp electrode EEG information for correlation with anatomical structures in the brain. 3D position localizing devices commonly used in virtual reality systems are used to digitize the coordinates of scalp electrodes in a standard clinical configuration. The electrode coordinates are registered with a high- resolution MRI dataset using a robust surface matching algorithm. Volume rendering can then be used to visualize the electrodes and electrode potentials interpolated over the scalp. The accuracy of the coordinate registration is assessed quantitatively with a realistic head phantom.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages159-169
Number of pages11
ISBN (Print)0819424447
StatePublished - 1997
EventMedical Imaging 1997: Physiology and Function from Multidimensional Images - Newport Beach, CA, USA
Duration: Feb 23 1997Feb 25 1997

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume3033
ISSN (Print)0277-786X

Other

OtherMedical Imaging 1997: Physiology and Function from Multidimensional Images
CityNewport Beach, CA, USA
Period2/23/972/25/97

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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