Gradient artifact removal in co-registration EEG/fMRI

Elisa Sartori, E. Formaggio, S. F. Storti, A. Bertoldo, P. Manganotti, A. Fiaschi, G. M. Toffolo

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

Abstract

In this work we present a novel method to remove the gradient artifact in co-registered EEG/fMRI, of wide applicability and able to preserve EEG integrity. It is based on an iterative subtraction, but it improves upon exiting methods since for each slice the amplitude of the gradient templates to be subtracted is optimally adjusted by linear regression. This avoids the need of adaptive noise cancellation, or principal component analysis. Performance of this algorithm was first evaluated on both in silico and real data. Results indicate that few iterations are needed for a successful gradient removal, without compromising frequency content of EEG.

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages1143-1146
Number of pages4
Volume25
Edition4
DOIs
Publication statusPublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: Sep 7 2009Sep 12 2009

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
CountryGermany
CityMunich
Period9/7/099/12/09

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Keywords

  • EEG
  • fMRI
  • Gradient artifact
  • Real data

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Sartori, E., Formaggio, E., Storti, S. F., Bertoldo, A., Manganotti, P., Fiaschi, A., & Toffolo, G. M. (2009). Gradient artifact removal in co-registration EEG/fMRI. In IFMBE Proceedings (4 ed., Vol. 25, pp. 1143-1146) https://doi.org/10.1007/978-3-642-03882-2-304