PURPOSE: To develop a system for artifact suppression in electrocardiogram (ECG) recordings obtained during interventional real-time magnetic resonance imaging (MRI). MATERIALS AND METHODS: We characterized ECG artifacts due to radiofrequency pulses and gradient switching during MRI in terms of frequency content. A combination of analog filters and digital least mean squares adaptive filters were used to filter the ECG during in vivo experiments and the results were compared with those obtained with simple low-pass filtering. The system performance was evaluated in terms of artifact suppression and ability to identify arrhythmias during real-time MRI. RESULTS: Analog filters were able to suppress artifacts from high-frequency radiofrequency pulses and gradient switching. The remaining pulse artifacts caused by intermittent preparation sequences or spoiler gradients required adaptive filtering because their bandwidth overlapped with that of the ECG. Using analog and adaptive filtering, a mean improvement of 38 dB (n = 11, peak QRS signal to pulse artifact noise) was achieved. This filtering system was successful in removing pulse artifacts that obscured arrhythmias such as premature ventricular complexes and complete atrioventricular block. CONCLUSION: We have developed an online ECG monitoring system employing digital adaptive filters that enables the identification of cardiac arrhythmias during real-time MRI-guided interventions.
PURPOSE: To develop a system for artifact suppression in electrocardiogram (ECG) recordings obtained during interventional real-time magnetic resonance imaging (MRI). MATERIALS AND METHODS: We characterized ECG artifacts due to radiofrequency pulses and gradient switching during MRI in terms of frequency content. A combination of analog filters and digital least mean squares adaptive filters were used to filter the ECG during in vivo experiments and the results were compared with those obtained with simple low-pass filtering. The system performance was evaluated in terms of artifact suppression and ability to identify arrhythmias during real-time MRI. RESULTS: Analog filters were able to suppress artifacts from high-frequency radiofrequency pulses and gradient switching. The remaining pulse artifacts caused by intermittent preparation sequences or spoiler gradients required adaptive filtering because their bandwidth overlapped with that of the ECG. Using analog and adaptive filtering, a mean improvement of 38 dB (n = 11, peak QRS signal to pulse artifact noise) was achieved. This filtering system was successful in removing pulse artifacts that obscured arrhythmias such as premature ventricular complexes and complete atrioventricular block. CONCLUSION: We have developed an online ECG monitoring system employing digital adaptive filters that enables the identification of cardiac arrhythmias during real-time MRI-guided interventions.
Authors: Freddy Odille; Cédric Pasquier; Roger Abächerli; Pierre-André Vuissoz; Gary P Zientara; Jacques Felblinger Journal: IEEE Trans Biomed Eng Date: 2007-04 Impact factor: 4.538
Authors: Michael A Guttman; Cenghizhan Ozturk; Amish N Raval; Venkatesh K Raman; Alexander J Dick; Ranil DeSilva; Parag Karmarkar; Robert J Lederman; Elliot R McVeigh Journal: J Magn Reson Imaging Date: 2007-12 Impact factor: 4.813
Authors: André Guillou; Jean-Marc Sellal; Sarah Ménétré; Grégory Petitmangin; Jacques Felblinger; Laurent Bonnemains Journal: MAGMA Date: 2017-06-19 Impact factor: 2.310
Authors: Shelley HuaLei Zhang; Zion Tsz Ho Tse; Charles L Dumoulin; Raymond Y Kwong; William G Stevenson; Ronald Watkins; Jay Ward; Wei Wang; Ehud J Schmidt Journal: Magn Reson Med Date: 2015-06-23 Impact factor: 4.668
Authors: John W Kakareka; Anthony Z Faranesh; Randall H Pursley; Adrienne Campbell-Washburn; Daniel A Herzka; Toby Rogers; Josh Kanter; Kanishka Ratnayaka; Robert J Lederman; Thomas J Pohida Journal: IEEE J Transl Eng Health Med Date: 2018-03-01 Impact factor: 3.316
Authors: Kanishka Ratnayaka; Anthony Z Faranesh; Michael S Hansen; Annette M Stine; Majdi Halabi; Israel M Barbash; William H Schenke; Victor J Wright; Laurie P Grant; Peter Kellman; Ozgur Kocaturk; Robert J Lederman Journal: Eur Heart J Date: 2012-08-01 Impact factor: 29.983
Authors: Felke Steijns; Máté I Tóth; Anthony Demolder; Lars E Larsen; Jana Desloovere; Marjolijn Renard; Robrecht Raedt; Patrick Segers; Julie De Backer; Patrick Sips Journal: Sensors (Basel) Date: 2020-07-10 Impact factor: 3.576
Authors: Gábor Orbán; Domokos Meszéna; Kinga Réka Tasnády; Balázs Rózsa; István Ulbert; Gergely Márton Journal: PLoS One Date: 2019-08-20 Impact factor: 3.240
Authors: Vladimir Shusterman; Prashant Nagpal; Daniel Thedens; Xiaodong Zhu; Daniel S Matasic; Jin-Young Yoon; Gina Morgan; Stacy Hoffman; Barry London Journal: Biomed Phys Eng Express Date: 2019-05-16
Authors: Fabian Kording; Jin Yamamura; Gunnar Lund; Friedrich Ueberle; Caroline Jung; Gerhard Adam; Bjoern Philip Schoennagel Journal: Magn Reson Med Sci Date: 2016-03-21 Impact factor: 2.471