Document Detail


Noise cancellation signal processing method and computer system for improved real-time electrocardiogram artifact correction during MRI data acquisition.
MedLine Citation:
PMID:  17405370     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A system was developed for real-time electrocardiogram (ECG) analysis and artifact correction during magnetic resonance (MR) scanning, to improve patient monitoring and triggering of MR data acquisitions. Based on the assumption that artifact production by magnetic field gradient switching represents a linear time invariant process, a noise cancellation (NC) method is applied to ECG artifact linear prediction. This linear prediction is performed using a digital finite impulse response (FIR) matrix, that is computed employing ECG and gradient waveforms recorded during a training scan. The FIR filters are used during further scanning to predict artifacts by convolution of the gradient waveforms. Subtracting the artifacts from the raw ECG signal produces the correction with minimal delay. Validation of the system was performed both off-line, using prerecorded signals, and under actual examination conditions. The method is implemented using a specially designed Signal Analyzer and Event Controller (SAEC) computer and electronics. Real-time operation was demonstrated at 1 kHz with a delay of only 1 ms introduced by the processing. The system opens the possibility of automatic monitoring algorithms for electrophysiological signals in the MR environment.
Authors:
Freddy Odille; Cédric Pasquier; Roger Abächerli; Pierre-André Vuissoz; Gary P Zientara; Jacques Felblinger
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  54     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2007 Apr 
Date Detail:
Created Date:  2007-04-04     Completed Date:  2007-04-24     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  630-40     Citation Subset:  IM    
Affiliation:
INSERM, ERI13, F-54000 Nancy, France. f.odille@chu-nancy.fr
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artifacts*
Diagnosis, Computer-Assisted / methods*
Electrocardiography / methods*
Humans
Image Enhancement / methods*
Magnetic Resonance Imaging / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Grant Support
ID/Acronym/Agency:
U41-RR019703/RR/NCRR NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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