Abstract
All cardiac magnetic resonance (CMR) techniques aim to create still depictions of a dynamic and ever-adapting organ. Most CMR methods rely on cardiac gating to capture information during fleeting periods of relative cardiac quiescence, at end diastole or end systole, or to acquire partial images throughout the cardiac cycle and average these signals over several heart beats. Since the inception of clinical CMR in the early 1980s, priority has been given to improving methods for image gating. The aim of this work is to provide a basic understanding of the ECG acquisition, demonstrate common ECG-related artifacts and to provide practical methods for overcoming these issues. Meticulous ECG preparation is essential for optimal CMR acquisition and these techniques must be adaptable to the individual patient.
Keywords: Magnetic resonance imaging, ECG, Trigger
Introduction
All cardiac magnetic resonance (CMR) techniques aim to create still depictions of a dynamic and ever-adapting organ. Most CMR methods rely on cardiac gating to capture information during fleeting periods of relative cardiac quiescence, at end diastole or end systole, or to acquire partial images throughout the cardiac cycle and average these signals over several heart beats. This process requires absolute precision. Since the inception of clinical CMR in the early 1980s, priority has been given to improving methods for image gating [1–5].
Cardiac gating has enabled the discrimination of internal cardiac anatomy, the evaluation of cardiac function and permitted the exploration and development of more rigorous quantitative CMR imaging techniques such as T2* and T1 measurements. Image contrast is controlled by basic parameters, like repetition time (TR), which must be individualized to the patient’s own cardiac cycle and gated to every heartbeat, necessitating a method of predicting the mechanical events of the cardiac cycle [2, 6–11].
The electrocardiogram (ECG) reflects changes in electrical potential generated by the conduction system of the heart which reliably precede mechanical contraction by milliseconds. Any phase of the cardiac cycle can be easily determined and the ECG signal can be used to trigger image acquisition. Adequate ECG synchronization is the crucial first step in acquiring high quality CMR images [1, 12, 13].
Standard ECG gating using four leads has been updated and most centers are now using vectorcardiogram (VCG)-based wireless, with three-dimensional summation vector acquisition, or fiber-optic systems with noise filtration to reduce gradient and radiofrequency pulse noise using CMR [6, 14]. To date, extensive work has been done in dealing with the numerous ECG-related artifacts [2, 6–11, 13]. The aim of this work is to provide a basic understanding of the ECG acquisition, demonstrate common ECG-related artifacts and to provide practical methods for overcoming these issues. Meticulous ECG preparation is essential for optimal CMR acquisition and these techniques must be adaptable to the individual patient.
Practical guidance to correct CMRI ECG gating
Preparing the exam
Skin preparation
Prior to the placement of ECG leads, skin preparation is essential. An accurate detection of the small potentials generated by the myocardium requires minimal skin impedance [2]. This aim is achieved through optimal electrode contact. Factors causing interference, adding noise to the ECG baseline and leading to erroneous triggering during the CMR exam, include naturally occurring oils and chest hair and products applied by the patient such as creams and ointments.
Patients should be instructed to avoid applying these products on the day of their exam. Immediately prior to electrode placement, chest hair must be shaved and the skin surface scrubbed with a mildly abrasive soap; several commercially prepared gels are available for this purpose. Ideally the skin should be bare and clean prior to electrode application. Workflow can be optimized by performing this step outside of the scanning room.
ECG placement
Standard vendor recommended electrode configurations are typically based on study reports of locations with the greatest overall success rates [7]. While these groupings are often adequate, during daily practice poor initial ECG tracings often prompt a search for alternative electrode placement. Since most systems allow the user to choose alternative lead combinations, the first step is to test each channel of incoming signal for the best ECG trace option. If none of the existing combinations are adequate, a physical alteration in electrode placement becomes necessary.
These positional changes may be subtle or may require a creative and skillful replacement of the entire electrode leads. Fatty tissue within the breast or body wall of obese patients can be especially challenging. Depending upon the patient’s body habitus it may be necessary to place the electrodes on the lateral chest wall, the back or even the neck (Fig. 1). Optimal electrode positioning is often found through trial and error.
If repositioning of the electrodes is necessary it takes some time for the scanner to adapt to the new ECG signal. Therefore a short period of time has to elapse to evaluate if signal detection improved after repositioning.
Once the electrodes are connected to the ECG device, and a satisfactory tracing is confirmed, the connectors and cable should be aligned without any loops and minimal overlap. These cables, if poorly positioned, have the potential to add radiofrequency noise or, of even greater concern, generate heat that may cause burn injuries to the patient.
During the exam
Technical considerations
An ECG tracing demonstrates the electrical potential that is generated by the heart and conducted to the skin surface. Typically the largest ECG deflection is the R wave, which depicts an alternation in the electrical potential heralding the initiation of mechanical systole. CMR triggering relies on this electrical event to initiate scanning and is dependent on adequate coupling between the ECG device and the scanner console. The ideal ECG tracing would depict tall, evenly spaced R waves separated by a flat baseline (Fig. 2). In reality, these types of tracing are easily achieved with a simulator but usually not observed in vivo.
The goal is to achieve an in-bore ECG with clear R wave and flat or negative T waves. The construction of an in-bore ECG with flat or negative T waves can be easily achieved through a negative-positive direction in left caudal direction (e.g. changing lead II closer or far apart) and the third electrode on the upper left side of the chest, but this is not necessary the best positioning in all cases.
Prospective cardiac gating
In prospective ECG gating, the pulse sequence can be adapted to both morphological and functional acquisitions.
In prospectively gated morphological imaging, an R-wave initiates the capture of signal after a suitable delay period; signal acquisition coincides with diastasis, the most mechanically still portion of the cardiac cycle (Fig. 3a) which corresponds to the mid-diastolic phase of the ECG.
Prospective functional imaging relies on partial k-space acquisitions for a series of images spanning most of the cardiac cycle; k-space is ultimately filled by the averaging of signals from the same cardiac phase over several heart beats. This functional set begins with the R-wave and by necessity cannot acquire the end diastolic events. Since the duration of the R–R-interval slightly varies from beat to beat the final 10% of the R–R-interval is usually not sampled in order not to miss the next R-wave [15] (Fig. 3b).
Prospective gating has some advantages in filtering noise. An interval is often programmed when the scanner deliberately ignores any high peak amplitude pulses, preventing false triggering by ECG signals other than the R-wave. This robust ability to ignore the ECG trace is problematic in patients with arrhythmia. In patients with a premature beat, the early R-wave is missed because the gradient pulses triggered by the previous R-wave are still running; this process further prolongs the acquisition which lengthens the necessary breath hold period. Signal is inappropriately assigned to the wrong cardiac phase resulting in image blurring [16].
Heart rate variability
Prospective gating is vulnerable to R–R interval variations occurring not only over the whole exam but also within one breath hold. For example, the scanner software might measure the R–R interval for a short period after the ECG is attached, and use this measurement in the software planning a cine study. If the true R–R interval has lengthened since the measurement was taken, which occurs often when a nervous patient relaxes, the software may unnecessarily restrict the number of cine images and prolong the skipped diastolic period.
When planning the positioning of the acquisition window for prospectively gated morphological image heart rate variability during breath hold has to be taken into consideration. In order not to miss the next R-wave the position of the acquisition window should not be too close to the next R-wave. An acquisition window which is placed too close to the next R-wave may reach into the R-wave when the next R–R-interval is only slightly shorter (Fig. 4).
Therefore knowledge of the patient’s heart rate variability with breath holding is crucial; depending upon the patient’s physical condition, dramatic changes can occur. Often a test breath hold is needed to capture an appropriate cycle length prior to image acquisition. Throughout the exam, the operator must be vigilant to variations in the cardiac cycle and adapt prospectively gated images appropriately.
Retrospective cardiac gating
Retrospective cardiac gating involves the continuously acquisition of data. Both image and ECG signal is collected over several consecutive heart beats and used during image reconstruction for the appropriate grouping of cardiac phase information. This demands dynamic pulse sequence and acquisition software decisions, because the method of data acquisition changes as it runs. Retrospective gating uses complex methods to filter signal interference [1, 16].
A major advantage of a retrospective acquisition is the ability to collect information from all cardiac phases (Fig. 5). Similar to prospective gating, retrospective methods may have difficulty with arrhythmias and low amplitude R-waves. With a variable heart rate, or arrhythmic event, the systolic and diastolic periods are unequally changed and the retrospective software is unable to compensate with appropriate segmentation of the cardiac phase data. Inappropriate trigger events will introduce additional errors in data segmentation.
Cine-MR and its important parameters
A major advance on cine-MR is the ability to measure multiple K-space lines per cardiac phase, termed segmented cine acquisition. Three parameters need to be adjusted: temporal resolution (TR), acquisition time (TA) and the numbers of lines per cardiac phase (segments). The goal is to balance two competing requirements: TR and TA, because the desirable sequence should have the lowest TR as possible for a breath-hold time reasonable for the patient. Thus, if we increase the number of segments, the resulting TR increases and TA decrease. For patients with bradycardia, with longer R–R intervals, the TA may be too long for breath-holding. In that case, the number of segments may be increased to reduce overall acquisition time.
Artifacts
Artifacts can be caused by both patient- and system-related factors (Fig. 6). Intra-cardiac blood flow can induce a voltage and create hydrodynamic artifacts (Fig. 7) [7]. The magneto-hydrodynamic effect occurs because blood is an electric conductor fluid and its motion produces an electric current which adds on to the cardiac conduction signal. This generates an electrical signal that usually affects the T wave. As the T wave occurs at a time of rapid blood movement out of the heart, this interaction is responsible for the T wave distortion. VCG ECG usually assesses the 3 dimensional spatial orientation of electrical activity. VCG is superior to standard ECG for MR gating because cardiac electrical activity and the voltage generated by magnetohydrodynamic effects occur in different planes, and can therefore be distinguished from one another.
Unfortunately, cardiac gating is dependent on specific MR techniques to acquire MR signal. Even with VCG ECG, important limitations on the acquired data may be present. Single phase techniques (e.g. spin echo/gradient echo/inversion recovery sequences) or multiphase techniques (gradient echo (GRE) or steady state free precession (SSFP)) are the most common. Sequences may be changed if an ECG trace provides poor gating: for example, an SSFP sequence may be changed to GRE to improve gating quality.
Other patient issues, such as abnormal cardiac conduction or unrelated physiological activities, like muscle tremor, are additive to this baseline noise. Extrinsic events, like high amplitude system noise or small electric currents spuriously induced by the changing magnetic field gradients, are also of concern (Fig. 8). Optimal image quality necessitates electrode placement that maximizes the R-wave peak while minimizing these baseline artifacts. This can be accomplished by placing the leads of the right arm and left leg away from each other on the mid line of the chest; however it does not necessary overcome the problem because of the magneto-hidrodynamic effect.
Some scanners have the arrhythmia rejection capability and the acceptance window must be specified allowing some R–R variation. This usually increase TA and, as with everything else in MR, the decision on shorter scan time or better image quality has to be made and the number of segments need to be increased to reduce TA. However, extreme variations of the R–R interval should be overcome using prospective triggering instead of retrospective. Usually, the shorter R–R interval should be used for planning the trigger acquisition window, which needs to be slightly shorter than the shortest R–R interval. The resulting cine-MR will represent an incomplete cardiac cycle, however, calculation of ejection fraction will be possible.
These extraneous effects are often reduced by a closely spaced electrode configuration on the patient’s trunk [17]. To reduce the magnetic field distortion, electrodes and associated connectors and cables should be made from non-ferromagnetic material.
ECG displays are available at both at the patient couch and the operator’s console. Continuous monitoring of the waveform and triggering events is essential for the early detection of problems. Interference can falsely trigger the scanner and lose synchronization with the heart [11, 16] (Fig. 9). ECG triggering may be highly variable in patients with arrhythmia (Figs. 10, 11); both prospective and retrospective arrhythmia rejection has been incorporated into the acquisition and reconstruction software for many applications. However, using non-gated sequences enables to overcome all kind of trigger irregularities but for the trade off of a lower spatial resolution.
Future possibilities
Several approaches to “real-time” imaging have been developed [10, 13, 18–21]. These techniques aim to produce a high temporal and spatial resolution images independent of external cardiac gating. With further improvements to both hardware and software, fast “real-time” analysis may rival the capabilities of echocardiography.
Final considerations
CMR is a powerful tool in both qualitative and quantitative analysis. Its accuracy depends on meticulous ECG preparation and vigilance during imaging. Through an understanding of the basic technical considerations and possible artifacts, study acquisition can be tailored to the individual patient maximizing diagnostic utility and optimizing care.
Acknowledgments
Funded by the National Institutes of Health (NIH) Intramural program.
Footnotes
Conflict of Interest The authors declare that they have no competing interests.
Contributor Information
Marcelo Souto Nacif, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Drive, Building 10, Rm 1C355, Bethesda, MD 20892-1182, USA; Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Radiology Department, Universidade Federal Fluminense, Niterói, Brazil.
Anna Zavodni, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Drive, Building 10, Rm 1C355, Bethesda, MD 20892-1182, USA.
Nadine Kawel, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Drive, Building 10, Rm 1C355, Bethesda, MD 20892-1182, USA.
Eui-Young Choi, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
João A. C. Lima, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
David A. Bluemke, Email: bluemked@nih.gov, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Drive, Building 10, Rm 1C355, Bethesda, MD 20892-1182, USA; National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA.
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