| Nonlinear bayesian filtering for denoising of electrocardiograms acquired in a magnetic resonance environment. | |
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MedLine Citation:
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PMID: 20483691 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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ECGs are currently acquired during magnetic resonance examinations. This "hostile" environment highly distorts ECG signals, due to the high-static magnetic field, RF pulses and fast switching magnetic gradients. Specific signal processing is then required since the ECG signal is used for image synchronization with heart activity (or triggering) and for patient monitoring. A new set of two magnetic field gradient (MFG) artifact reduction methods, based on ECG and MFG artifact modelings and Bayesian filtering, is herein presented and will be called Bayesian gradient artifact reduction monitoring (BAGARRE-M) and BAGARRE-triggering. These algorithms overcome the limitations of state-of-the-art methods and enable accurate processing of very noisy ECG acquisitions during MRI. Whether for triggering or monitoring purposes, the presented methods overcome state-of-the-art techniques with both better QRS detection accuracy and signal denoising quality. |
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Authors:
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Julien Oster; Olivier Pietquin; Michel Kraemer; Jacques Felblinger |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-05-17 |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: 57 ISSN: 1558-2531 ISO Abbreviation: IEEE Trans Biomed Eng Publication Date: 2010 Jul |
Date Detail:
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Created Date: 2010-07-27 Completed Date: 2010-10-28 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: United States |
Other Details:
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Languages: eng Pagination: 1628-38 Citation Subset: IM |
Affiliation:
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Interventional and Diagnostic Adaptive Imaging Laboratory, Nancy Université, F-54000 Nancy, France. j.oster@chu-nancy.fr |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Algorithms Artifacts* Bayes Theorem Databases, Factual Electrocardiography / methods* Electromagnetic Fields Female Humans Magnetic Resonance Imaging / methods* Male Nonlinear Dynamics* Reproducibility of Results Signal Processing, Computer-Assisted* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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