Back to Search
Start Over
Broadband electrocardiogram acquisition for improved suppression of MRI gradient artifacts
- Source :
- Physiological Measurement, Physiological Measurement, IOP Publishing, 2020, 41 (4), pp.045004. ⟨10.1088/1361-6579/ab7b8e⟩
- Publication Year :
- 2020
- Publisher :
- IOP Publishing, 2020.
-
Abstract
- International audience; Objective: Despite being routinely acquired during MRI examinations for triggering or monitoring purposes, electrocardiogram (ECG) signal recording and analysis remain challenging due to the inherent magnetic environment of an MRI scanner. The ECG signals are particularly distorted by the induction of electrical fields in the body by the MRI gradients. In this study, we propose a new hardware and software solution for the acquisition of ECG signal during MRI up to 3 T.Approach: Instead of restricting the sensor bandwidth to limit these gradient artifacts, the new sensor architecture has a higher bandwidth, higher sampling frequency and larger input dynamics, in order to acquire the ECG signals and the gradient artifacts more precisely. Signal processing based on a novel detection algorithm and blanking are then applied for improved artifact suppression.Main results: The proposed sensor allows the gradient artifacts to be acquired more precisely, and these artifacts are recorded with peak-to-peak amplitudes two orders of magnitude larger than for QRS complexes. The proposed method outperforms a state-of-the-art approach both in terms of signal quality (+9% 'SNR') and accuracy of QRS detection (+11%).Significance: The proposed hardware and software solutions open the way for the acquisition of high-quality of ECG gating in MRI, and improved diagnostic quality of ECG signals in MRI.
- Subjects :
- Scanner
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Physiology
Computer science
0206 medical engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Biomedical Engineering
Biophysics
Image processing
02 engineering and technology
030218 nuclear medicine & medical imaging
Electrocardiography
03 medical and health sciences
QRS complex
0302 clinical medicine
Software
Physiology (medical)
Image Processing, Computer-Assisted
medicine
Humans
Computer vision
Signal processing
medicine.diagnostic_test
business.industry
Bandwidth (signal processing)
Signal Processing, Computer-Assisted
Magnetic resonance imaging
Magnetic Resonance Imaging
020601 biomedical engineering
Artificial intelligence
Artifacts
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Blanking
Subjects
Details
- ISSN :
- 13616579 and 09673334
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- Physiological Measurement
- Accession number :
- edsair.doi.dedup.....cf212bde16f93427c1ef14409e9184fb
- Full Text :
- https://doi.org/10.1088/1361-6579/ab7b8e