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Adaptive step size LMS improves ECG detection during MRI at 1.5 and 3 T

  • André Guillou
  • Jean-Marc Sellal
  • Sarah Ménétré
  • Grégory Petitmangin
  • Jacques Felblinger
  • Laurent Bonnemains
Research Article

Abstract

Objective

We describe a new real-time filter to reduce artefacts on electrocardiogram (ECG) due to magnetic field gradients during MRI. The proposed filter is a least mean square (LMS) filter able to continuously adapt its step size according to the gradient signal of the ongoing MRI acquisition.

Materials and methods

We implemented this filter and compared it, within two databases (at 1.5 and 3 T) with over 6000 QRS complexes, to five real-time filtering strategies (no filter, low pass filter, standard LMS, and two other filters optimized within the databases: optimized LMS, and optimized Kalman filter).

Results

The energy of the remaining noise was significantly reduced (26 vs. 68%, p < 0.001) with the new filter vs. standard LMS. The detection error of our ventricular complex (QRS) detector was: 11% with our method vs. 25% with raw ECG, 35% with low pass filter, 17% with standard LMS, 12% with optimized Kalman filter, and 11% with optimized LMS filter.

Conclusion

The adaptive step size LMS improves ECG denoising during MRI. QRS detection has the same F1 score with this filter than with filters optimized within the database.

Keywords

Magnetic field gradient Electric artefact Noise reduction 

Notes

Acknowledgements

Julien Oster contributed to this paper as scientific advisor. Several authors were employed by Schiller SA when this study was designed and conducted.

Compliance with ethical standards

Conflict of interest

Three authors André Guillou, Sarah Ménétré and Grégory Petitmangin are employed by Schiller Medicals, Wissembourg, France and declare this financial link as a potential conflict of interest because the algorithm presented in the manuscript is actually implemented in two schiller commercial devices. The authors Jean-Marc Sellal, Jacques Felblinger and Laurent Bonnemains declare that they have no conflict of interest.

Ethical approval

The study complied with the Declaration of Helsinki regarding medical research on human subjects and was approved by a local ethics committee.

Informed consent

All subjects included in the study gave their informed written consent.

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Copyright information

© ESMRMB 2017

Authors and Affiliations

  1. 1.Schiller SAWissembourgFrance
  2. 2.INSERM, U947Vandoeuvre-les-NancyFrance
  3. 3.Department of CardiologyCHU NancyVandoeuvre-les-NancyFrance
  4. 4.CHU NancyVandoeuvre-les-NancyFrance
  5. 5.Department of Medical ImagingCHU NancyVandoeuvre-les-NancyFrance
  6. 6.Department of Cardiac surgeryCHU StrasbourgStrasbourgFrance
  7. 7.University of StrasbourgStrasbourgFrance

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