Title :
Minimizing interference from magnetic resonance imagers during electrocardiography
Author :
Laudon, Michael K. ; Webster, John G. ; Frayne, Richard ; Grist, Thomas M.
Author_Institution :
Cypress Semicond., San Jose, CA, USA
Abstract :
Magnetic resonance imaging (MRI) allows a physician to obtain images of internal organs noninvasively. Imaging a moving organ such as the heart requires a trigger so that successive scans can be synchronized. In the case of cardiac imaging this trigger is the electrocardiogram (ECG). When a patient is in an MRI scanner he/she is subjected to both static and dynamic magnetic fields which can cause interference In the ECG. The dynamic fields consist of 8- to 64-MHz radio frequency (RF) pulses and low-frequency magnetic gradient pulses with frequency components below 100 Hz. Conventional bandpass filters are only moderately effective because the passband allows magnetic gradient-induced interference to be superimposed on the ECG, causing distortion of the signal. This paper describes a technique which can be used to remove induced MRI gradient interference from an ECG recorded on a patient inside the bore of a MRI scanner. Induced signal from an external loop is subtracted from the ECG to minimize the low-frequency interference. The gradient induced low-frequency interference was reduced to approximately 20% of its magnitude when using conventional ECG amplifiers.
Keywords :
biomedical NMR; electrocardiography; low-pass filters; medical signal processing; radiofrequency interference; 100 Hz; 8 to 64 MHz; MRI gradient interference; bandpass filters; dynamic magnetic fields; electrodiagnostics; external loop; frequency components; induced signal; low-frequency magnetic gradient pulses; magnetic resonance imagers interference minimization; noninvasive internal organs imaging; signal distortion; static magnetic fields; Band pass filters; Electrocardiography; Frequency synchronization; Heart; Interference; Magnetic fields; Magnetic resonance; Magnetic resonance imaging; Magnetic separation; Radio frequency; Animals; Artifacts; Electric Power Supplies; Electrocardiography; Electromagnetic Fields; Equipment Design; Image Enhancement; Magnetic Resonance Imaging; Models, Cardiovascular; Signal Processing, Computer-Assisted; Swine;
Journal_Title :
Biomedical Engineering, IEEE Transactions on