Characterization of the magnetohydrodynamic effect as a signal from the surface electrocardiogram during cardiac magnetic resonance imaging

G. M. Nijm, S. Swiryn, A. C. Larson, Alan V. Sahakian

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

12 Scopus citations

Abstract

The magnetohydrodynamic (MHD) effect was investigated in the electrocardiogram (ECG) during MRI. ECGs were obtained for 10 healthy subjects inside and outside a 3.0T MRI scanner. The MHD effect was characterized as the difference in voltage between the mean beat from the ECG taken inside the magnet and the one taken outside the magnet. A significant deflection was observed and was found to primarily correspond to the flow of blood in the aortic arch. When subjects were in supine position, the mean amplitude of this deflection was 0.19 ± 0.04 mV, and its mean duration was 0.34 ± 0.02 secs; when in prone position, the mean amplitude of this deflection was 0.21 ± 0.08 mV, and its mean duration was 0.33 ± 0.02 secs. An axial orientation 2D phase contrast MRI scan was performed to allow blood flow and velocity measurements. By characterizing the MHD signal, we can obtain flow information and can develop improved subtraction techniques for ECG during MRI.

Original languageEnglish (US)
Title of host publication2006 Computers in Cardiology, CIC
Pages269-272
Number of pages4
StatePublished - Dec 1 2006
Event2006 Computers in Cardiology, CIC - Valencia, Spain
Duration: Sep 17 2006Sep 20 2006

Publication series

NameComputers in Cardiology
Volume33
ISSN (Print)0276-6574

Other

Other2006 Computers in Cardiology, CIC
CountrySpain
CityValencia
Period9/17/069/20/06

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ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

Cite this

Nijm, G. M., Swiryn, S., Larson, A. C., & Sahakian, A. V. (2006). Characterization of the magnetohydrodynamic effect as a signal from the surface electrocardiogram during cardiac magnetic resonance imaging. In 2006 Computers in Cardiology, CIC (pp. 269-272). [4511840] (Computers in Cardiology; Vol. 33).