Cardiovascular MRI at 3T.
Subject: Imaging systems
Magnetic resonance imaging
Authors: Saleh, Roya S.
Lohan, Derek G.
Nael, Kambiz
Grover-McKay, Maleah
Finn, J. Paul
Pub Date: 11/01/2007
Publication: Name: Applied Radiology Publisher: Anderson Publishing Ltd. Audience: Academic Format: Magazine/Journal Subject: Health Copyright: COPYRIGHT 2007 Anderson Publishing Ltd. ISSN: 0160-9963
Issue: Date: Nov, 2007 Source Volume: 36 Source Issue: 11
Topic: Computer Subject: Imaging technology
Accession Number: 209239236
Full Text: Diagnostic clinical cardiac magnetic resonance imaging (MRI) requires an appropriate combination of temporal and spatial resolution. At present, cardiovascular imaging is making considerable advances toward the fulfillment of these requirements, largely because of continued improvements in MRI hardware and software. Optimal diagnostic-quality MRI implies a balance among signal-to-noise ratio (SNR), tissue contrast, acquisition time, and spatial and temporal resolution. Magnetic field strength is one of the major factors affecting image SNR.

In 2002, the U.S. Food and Drug Administration (FDA) approval of 3T clinical whole-body scanners opened the way for multiple advanced clinical applications, particularly with regard to MR angiography (MRA). Compared with 1.5T, the higher field strength results in a doubling of SNR due to increased spin polarization. Furthermore, imaging at higher field strengths with gadolinium-based agents can produce further improvements in image contrast. Cardiac imaging at 3T is, however, noticeably different from imaging at 1.5T because of a variety of artifacts that result from susceptibility effects and augmentation of radiofrequency (RF) inhomogeneity.


In this article, we review the advantages and disadvantages of cardiac imaging at higher magnetic fields for cardiovascular clinical applications, including contrast-enhanced MRA techniques, functional imaging, flow quantification, assessment of myocardial viability, perfusion imaging, and coronary arterial imaging at 3T, providing reference to current clinical practice while highlighting potential pitfalls and discussing techniques to overcome them. Additionally, we supplement this technical discussion with a number of illustrative pathologic cases that are imaged at 3T. We hope to provide an up-to-date summary of current practices in the field, addressing technical challenges while encouraging motivated readers toward appropriate further study of this extensive topic. (1)

Contrast-enhanced MRA techniques

At 3T, SNR increases significantly relative to 1.5T: first, because background noise is reduced at 3T; and second, because the longitudinal relaxation time (T1) of blood undergoes more marked shortening than does background tissue. (2) The advent of parallel imaging, (3-5) with improved RF electronics and coil design, has facilitated the use of higher acceleration factors, improving the speed, resolution, and coverage of contrast bolus imaging. However, parallel data acquisition invokes a penalty in SNR, which is more limiting at lower field strengths. Recently, several investigators have shown positive results using contrast-enhanced MRA (CEMRA) with parallel imaging at higher field strengths, findings that have already been integrated into routine clinical practice. (6-9)

Nael et al (7) showed an increase in main pulmonary arterial SNR at 3T, however, with a reduced pulmonary parenchymal SNR on time-resolved MRA relative to 1.5T. These authors concluded that time-resolved MRA at 3T provides results comparable to 1.5T. However, the relatively lower parenchymal enhancement seen at 3T was thought to reflect greater susceptibility effects at a higher magnetic field because of air-tissue interfaces within the lung. Susceptibility effects increase linearly with field strength and may limit pulmonary perfusion imaging when integrated with inherent SNR drops because of the use of higher acceleration factors. (7) Nonetheless, while it is important to recognize this phenomenon, it is usually not limiting in clinical practice (Figures 1 and 2).



Cardiac functional imaging

Until recently, cardiac cine MRI involved the use of spoiled gradient-echo (SGE) imaging, (10,11) based largely on apparent T1-weighted shortening due to through-plane blood to generate contrast between blood and myocardium. If the repetition time (TR) is too short or the flow is too slow, blood saturation may result (Figure 3). This is particularly relevant for long-axis cardiac imaging, where blood may linger within the slice (Figure 4) but may be encountered during short axis imaging if myocardial function is poor. As a result, steady-state free-precession (SSFP) pulse sequences have replaced spoiled gradient-refocused echo (GRE) cine for almost all routine clinical MRI at 1.5T. (12)



With SSFP, blood signal is dependent upon its relaxation time (more specifically upon the ratio of T2*/T1) rather than its speed of flow, so that even with very poor systolic function, blood-myocardial contrast is excellent. Cine SSFP performs optimally with the shortest possible TR (on the order of [less than or equal to]3 msec), (13) so imaging speed is almost 3 times greater than that allowed by spoiled GRE cine. (12) Indeed, a high contrast-to-noise ratio (CNR) cine SSFP may be acquired in [less than or equal to]7 seconds when imaging at 1.5T.

Several investigators have confirmed the SNR advantages of cardiac cine at 3T. (14-17) These studies indicate an overall quantitative improvement in SNR for cardiac imaging at 3T. Similar to angiography, the SNR improvements achieved have facilitated the use of parallel imaging with higher acceleration factors and multi-channel RF receiver coils (Figure 5). As a result, the temporal performance of cine SSFP may be further enhanced. (18) However, accelerated acquisition results in the loss of SNR and in the introduction of noise nonuniformly (Figure 5).

The main challenges specific to 3T as compared with 1.5T include: [B.sub.0] inhomogeneity, increased RF power deposition (which generally limits the flip angle and the minimum achievable TR), longer T1, and shortened T2*, all of which combine to offset the advantages from higher field strengths. While these factors are by no means absent at 1.5T, they are more troublesome at 3T. With regard to SSFP imaging, RF inhomogeneity, which occurs because of the shorter wavelength of the RF pulse, makes penetration of deeper structures more difficult (Figure 5, arrows). Furthermore, resonant frequency shifts (off-resonance effects) due to magnetic susceptibility gradients, which occur adjacent to tissue interfaces, manifest as dark bands in the image. Depending on where these dark bands occur, this may be of no clinical significance or may result in severe image artifact (Figures 3, 6, and 7).

If an off-resonance band traverses a major inflow vessel (Figure 8, arrowheads) or a cardiac chamber, this may disrupt the steady state and degrade the image contrast. The distance between these bands is inversely related to the TR, thus using the shortest possible TR is desirable. The homogeneity of the main magnetic field is a major determinant in the location of these dark bands on SSFP images. (19) The distance between these bands is indirectly related to the slope of the frequency gradient, with steeper gradients increasing the propensity toward disruption of the steady state. Deshpande et al20 proposed that a prescan that simulates different imaging frequencies (frequency scout imaging) may be used to visually determine the central frequency. This technique often results in artifact-free SSFP images at 3T but does not necessarily fix all slices for all cardiac phases, as illustrated in Figure 6 and Figure 8. Compared with SSFP, SGE sequences are less demanding at a higher field. Because of spin saturation, however, SGE cine imaging may yield poor results unless intravascular contrast agents are used (21,22) (Figures 3 and 4). At the time of this writing, however, no intravascular contrast agents are approved by the FDA for cardiac imaging, and 1.5T has remained the optimal magnetic field for clinical cardiac cine imaging.


Phase-contrast flow quantification imaging

Velocity-encoded, phase-contrast (PC) cine MRI measures phase shift due to blood flow, allowing direct noninvasive derivation of blood velocity and volume flow. Flow rate can be calculated by integrating this velocity over the measured cross-sectional area. Since first proposed by Moran, (23) this technique has been optimized and synchronized to the cardiac cycle, using either retrospective or prospective electrocardiographic (ECG)gating for clinical vascular assessment at 1.5T. (24,25)

A high SNR profile is particularly desirable when imaging with PC-cine MRI, because the noise of velocity-encoded images has an inverse relationship to the SNR of magnitude-encoded images. Generally, an increased SNR ratio can be achieved by optimizing sequence parameters such as section thickness, flip angle, echo time, and receiver bandwidth. However, increasing the echo time renders the sequence increasingly vulnerable to motion artifact, and an increase in the section thickness may induce significant partial-volume effects in smaller vessels, such as the coronary arteries or bypass vessels. Nael et al (7) and Gutberlet et al (26) studied the PC imaging of the pulmonary artery and aorta (respectively) at 3T, comparing their findings with those at 1.5T. Both authors reported an increase in SNR due to noise reduction at 3T without significant impact upon velocity and flow measurements. Lotz et al, (27) in their in vitro validation study, showed slight overestimation of flow measurement at 3T when compared with phantom pump settings, with an increase in SNR by a factor of 2.5 when compared with 1.5T for magnitude-encoded images. It is assumed that moving to a higher field system will be of interest for small-size vessels, such as coronary arteries or bypass arteries, which require higher spatial resolution acquisition in order to reduce the impact of partial-volume effects, and for slow diastolic flow-patterns, which require higher temporal resolution.

Potential sources of error for clinical PC cine MRI

MRI (as Doppler ultrasound) samples discrete sections of vascular flow and, therefore, it is vulnerable to aliasing if flow velocities are excessively high. Velocity sensitivity with MRI may be adjusted so that such aliasing does not occur. By definition, the velocity-encoding value (VENC) is the velocity, which produces a phase shift of 180[degrees]. However, there is also a linear dependency between noise and the velocity encoding, with excessively high VENC levels producing compromises in SNR.

The VENC value can be estimated a priori by using a quick VENC scout imaging sequence for the vessel of interest. Typical VENC values employed for various anatomic sites are provided in Table 1.

Once the possibility of velocity aliasing has been addressed, a number of additional important pitfalls should be borne in mind when quantifying blood flow using this technique. Through-plane flow measurements are more accurate if the imaging plane is orthogonal to the main flow direction. It has been shown that a deviation of more than [+ or -]15[degrees] can cause significant deviations from both the true peak velocity and flow rate.28,29 Furthermore, the use of suboptimal temporal resolution may result in an underestimation of peak velocity and flow. (28,30)


In the heart and great vessels, flow quantification may be performed in the presence or absence of respiratory suspension. Breath-hold acquisitions are fast and can prevent respiratory motion artifact but are limited with regard to temporal and spatial resolution. Additionally, Sakuma et al (31) studied the effect of different lung-volume respiratory breath-holds on flow measurements and concluded that a small lung-volume breath-hold by shallow inspiration can provide a blood flow quantification that is close to physiological blood flow when compared with an acquisition with a large-volume breath-hold. Sugano et al (32) compared 3 different patterns of respiratory suspension: midnormal respiration, inspiratory, and expiratory breath-holding acquisitions for portal-vein flow assessment, concluding that expiratory breath-hold increases blood flow to the greatest degree, with deep inspiratory breath-holding resulting in the least portal-venous flow. Generally, at end-inspiration, venous return can be expected to be increased, when compared with cardiac output, with reversal of this relationship at end-expiration. Prolonged breath-holds affect cardiovascular hemodynamics and, thus, may influence flow quantitative measurements. By reducing turbulence, end-expiratory breath-holds may benefit the interrogation of intracardiac shunts and bypass grafts.


In current practice, the validity of flow characteristic assessment and quantification has been widely assessed at 1.5T for valvular heart disease, (33-36) congenital heart disease, (37) and disease secondary to pulmonary hypertension. (38-40) Comparable results for 3T MRI are awaited (Figure 9).

Delayed contrast-enhanced imaging

MRI has been proven to be a reliable means of showing the extent of myocardial infarction at 1.5T. Using myocardial viability imaging, (41) infarcted myocardium exhibits delayed hyperenhancement after contrast injection. The improved spatial resolution of MRI compared with radio-nuclide imaging provides distinct advantages, particularly so for nontransmural infarction, such that MRI is now considered to be a preferred alternative to nuclear tomography where it is available. (42-44) After intravenous injection, contrast material accumulates within nonviable myocardium within minutes of administration, with relatively slow washout. As described by Simonetti et al, (45) the conspicuity of such enhancement may be increased by using an appropriate T1-weighted imaging technique, such as segmented-k-space inversion recovery (IR) GRE (Figure 10).

At the optimal inversion time (TI), which can be confirmed on a patient-specific basis using TI scout imaging, the signal from normal myocardium is nulled, while hyperenhanced tissue is bright. However, this is a dynamic phenomenon, with the T1 of myocardium increasing as the contrast agent washes out. Thus, in a multislice acquisition, using a fixed TI might degrade the contrast at the final slice, which is acquired several minutes after the initiation of image acquisition. In order to address this issue and decrease sensitivity to the chosen TI, a phase-sensitive (PS) implementation of segmented IR GRE has been described by Kellman et al. (46)

More recently, variants of SSFP have been successfully used in the assessment of myocardial hyper-enhancement imaging for viability at 1.5T. Inversion recovery SSFP can be run as a single-shot technique within a single heartbeat. When used in this way, the bandwidth for SSFP is several-fold wider than that used for GRE, allowing the acquisition of more lines of data within the same time, and resulting in significantly faster imaging. This technique may be of value in patients in whom breath-holding techniques are inappropriate or in those with cardiac arrhythmia. However, the use of this rapid-imaging technique incurs a penalty in the form of limited spatial resolution, with a reduction in T1 contrast effects. Huber et al (47) compared segmented IR GRE at 1.5T with PS IR SSFP at both 1.5T and 3T for 10 patients, using double dose of a gadolinium contrast agent (0.2 mmol/kg). An IR SSFP technique allows for multislice imaging during a single breath-hold without adapting the inversion time, at a cost of lower CNR when compared with single-slice segmented IR GRE at 1.5T. However, CNR was higher (with magnitude imaging) at 3T. Huber et al (47) showed a very slight overestimation of the infarct volume using PS IR SSFP at both 1.5 and 3T, a finding previously described during other comparative studies. (48,49) This observation has been related to the inherent contrast characteristics of the SSFP sequence, which is dependent on the ratio of T1/T2 and the presence of edema around the infarcted area.

Further considerations

While delayed myocardial hyperenhancement represents a key feature in the assessment of myocardial viability, this technique should be reviewed in conjunction with cardiac cine images obtained to provide a corresponding evaluation of the left and right ventricular morphology and contractile function. This facilitates the detection of wall motion abnormality in the region of suspected myocardial infarction. Suggested cine imaging for the current routine clinical assessment at 1.5T are:


* Short-axis cine covering the entire ventricular length;

* Horizontal-axis cine (4-chamber views); and

* Left ventricle inflow-outflow tract cine imaging.

If the patient also requires chest MRA, viability imaging may be performed 10 minutes after chest angiography, obviating the requirement for a separate contrast medium injection of 0.1 mmol/kg of gadolinium. In our experience and in that of others, (50)however, the use of an appropriate imaging technique is more important than the timing of image acquisition after gadolinium administration.

Viability imaging (segmented IR GRE) is usually run as a breath-hold technique where 1 slice is acquired in approximately 12 seconds, and the whole heart is covered in 10 to 12 slices. In this implementation, it is necessary to set the acquisition window during mid-diastole (to eliminate blurring from cardiac motion), with the acquisition time for a single slice (between 8 to 10 seconds) determined by the patient's heart rate and magnetization relaxation of normal myocardium (usually approximately 2 heart beats).

Finally, to minimize partial-volume effects, one can balance between SNR and spatial resolution.

Perfusion imaging

Myocardial perfusion deficits may not be apparent in studies performed at rest. However, stress-induced increases in myocardium contractility (to roughly 3 to 4 times higher) (51) and coronary vasodilatation enhance the flow rate in normal coronary vessels, but not in those with flow-limiting stenosis. Several clinical reports have endorsed the accuracy of dynamic myocardial perfusion imaging at 1.5T in combination with adenosine or dipyridamole. (52-61) Ingkanisorn et al (62) examined and followed-up 135 patients for CAD risk factors, who presented to the emergency room with chest pain, but had a negative ECG, normal troponin level, and normal average ejection fraction. In their experience, stress perfusion MR, with 100% sensitivity and 93% specificity, was superior to total cardiac risk factors >3 (sensitivity of 65% and a specificity of 76%) as a predictor of adverse outcome.


For MRI evaluation of perfusion deficit, one would want to use T1-weighted imaging (gradient-echo, echo-planar imaging, or SSFP) with the use of at least one of the magnetization preparation schemes (inversion or saturation recovery pulse).

Regardless of pulse sequence design and magnetic field strength, optimal first-pass perfusion imaging needs the following requirements to be fulfilled:


* Temporal resolution of every or every other heart beat.

* In-plane spatial resolution better than 3 mm, to enable subendocardial assessment, through the whole heart by means of acquiring a minimum of 4 slices (3 short-axis-apex, mid, and basal--and one 4-chamber view).

* Clinical considerations for administrating adenosine are:

--No caffeine or theophylline intake within 24 hours of scan.

--Two IV lines are needed to infuse the contrast and adenosine separately.

--To monitor any possible side effects of adenosine infusion, the patient is out of the magnet during the first 2 minutes of infusion and then placed back into the bore, and contrast is infused, preferably, after 3 minutes of adenosine infusion.

--Acquisitions are breath-hold; however, if too long (usually 45 to 60 seconds), patients are told to take shallow breaths during imaging.


Studies at 3T are not different for adenosine; however, there must be some optimization for pulse sequence properties. Some data regarding 3T myocardial perfusion imaging are currently available, evaluating perfusion imaging at 3T compared with 1.5T and showing higher SNR and CNR and higher peak enhancement at 3T. (14,15,63) However, [B.sub.1] inhomogeneity is higher at 3T and may compromise suppression of background tissues. In addition, higher T2* effects may require a reduction of gadolinium dose. Because of these issues, pulse sequences and protocols utilized at 1.5T need modification to provide diagnostic images at 3T. For example, to reduce the effects of field inhomogeneity, shim gradients may be helpful.


During first-pass perfusion studies, a dark rim in the left ventricular subendocardium is sometimes seen. This artifact has been attributed to susceptibility artifacts because of the bolus of contrast, motion, spatial resolution, or a combination of these factors. (64) Di Bella et al (65) showed in ex vivo hearts, studied at 3T using GRE sequence that by increasing the spatial resolution of both data acquisitions, the size and intensity of the artifact decreased. In practical terms, this artifact could mimic ischemia where none was present. For the same reason, it is recommended that perfusion images be assessed in conjunction with corresponding cardiac cine and delayed enhancement images. Therefore, a complete clinical perfusion assessment is recommended to be acquired at 1.5T.

Quantitative myocardial perfusion using arterial input function (AIF), which is the concentration of contrast in the left ventricle as a function of time during its first pass, has not been adequately resolved to date, because a high gadolinium dose is required for high T1 sensitivity and high myocardial SNR. However, a high gadolinium concentration causes a nonlinear relationship between signal intensity and contrast agent concentration, and leads to underestimation of the AIF. (66)

Kim et al (67) used a hybrid echoplanar imaging pulse sequence at 3T that was modified to acquire data for a less distorted and higher calculated AIF and the myocardium by using 2 different saturation-recovery time delays. However, more studies are needed to evaluate the clinical effect of these findings.

Coronary artery imaging

Routine clinical imaging of coronary arteries is still challenging because of relatively low spatial resolution, cardiac and respiratory motion, and the diminutive size and tortuosity of the vessels of interest. The caliber of the proximal coronary arteries rarely exceeds 5 mm in normal subjects. Their spatial displacement during the heart cycle is typically on the order of 1 to 2 cm, with peak velocities of more than 20 cm/sec during rapid cardiac contraction and relaxation. (68)

One preferred current MRI method for imaging the coronary arteries at 1.5T uses noncontrast 3D SSFP imaging. (69) Steady-state free-precession imaging holds a number of advantages relative to SGE when imaging at 1.5T; however, for the same reasons discussed above, gradient-echo sequences are more desirable when imaging coronary angiography at 3T, (70) particularly contrast-enhanced 3D SGE (Figure 11). Longer myocardial T1 values at 3T warrant a longer IR time for myocardium suppression, when compared with those used at 1.5T. However, the arterial half-life of extravascular contrast agents is very short, resulting in a compromise in the spatial resolution achievable during a single breath-hold acquisition, with the data being acquired during the mid-diastolic phase in order to minimize cardiac motion-related artifacts. Bi et al (71) have shown the feasibility of using a cardiac motion-resolved 3D coronary MRA technique at 3T, using an extravascular agent, in a single breath-hold.

When compared with their extravascular counterparts, intravascular contrast agents remain in the blood pool for a longer time, thus permitting the use of respiratory gating. Early results using a 1.5T scanner indicate that intravascular agents hold promise for coronary MRA (72,73); however, further evaluation is required. For further review of cardiac pulse sequences, the reader is referred to a recent publication on this topic. (1)


Currently, routine cardiac imaging at 1.5T has been proven as highly accurate in the evaluation of myocardial function, perfusion, and viability (Figure 12). However, functional imaging at 3T using SSFP cine imaging may be quite time-consuming because of the necessity for sequence fine-tuning to avoid artifacts. There is little doubt, however, that ongoing developments in machine hardware, pulse sequence design, and image reconstruction methods will address these shortcomings in future times.


(1.) Finn JP, Nael K, Deshpande V, et al. Cardiac MR imaging: State of the technology. Radiology. 2006; 241:338-354.

(2.) Rinck PA, Muller RN. Field strength and dose dependence of contrast enhancement by gadolinium-based MR contrast agents. Eur Radiol. 1999;9: 998-1004.

(3.) Sodickson DK, Manning WJ. Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays. Magn Reson Med. 1997; 38:591-603.

(4.) Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P. SENSE: Sensitivity encoding for fast MRI. Magn Reson Med. 1999;42:952-962.

(5.) Griswold MA, Jakob PM, Heidemann RM, et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med. 2002;47: 1202-1210.

(6.) Nael K, Saleh R, Nyborg GK, et al. Pulmonary MR perfusion at 3.0 Tesla using a blood pool contrast agent: Initial results in a swine model. J Magn Reson Imaging. 2007;25:66-72.

(7.) Nael K, Michaely HJ, Lee M, et al. Dynamic pulmonary perfusion and flow quantification with MR imaging, 3.0T vs. 1.5T: Initial results. J Magn Reson Imaging. 2006;24:333-339.

(8.) Fenchel M, Nael K, Ruehm S, et al. Isotropic high spatial resolution magnetic resonance angiography of the supra-aortic arteries using two-dimensional parallel imaging (iPAT2) at 3 Tesla: A feasibility study. Invest Radiol. 2006;41:545-552.

(9.) Nael K, Michaely HJ, Kramer U, et al. Pulmonary circulation: Contrast-enhanced 3.0-T MR angiographyinitial results. Radiology. 2006;240:858-868.

(10.) Glover GH, Pelc NJ. A rapid-gated cine MRI technique. Magn Reson Annu. 1988:299-333.

(11.) Sechtem U, Pflugfelder PW, Cassidy MM, et al. Mitral or aortic regurgitation: Quantification of regurgitant volumes with cine MR imaging. Radiology. 1988; 167:425-430.

(12.) Carr JC, Simonetti O, Bundy J. Cine MR angiography of the heart with segmented true fast imaging with steady-state precession. Radiology. 2001;219: 828-834.

(13.) Deimling M, Heid O. Magnetization prepared true-FISP imaging. In: Proceedings of the Second Meeting of the Society of Magnetic Resonance Imaging in Medicine. Berkeley, CA: Society of Magnetic Resonance Imaging in Medicine; 1994:495.

(14.) Hinton DP, Wald LL, Pitts J, Schmitt F. Comparison of cardiac MRI on 1.5 and 3.0 Tesla clinical whole body systems. Invest Radiol. 2003;38:436-442.

(15.) Noeske R, Seifert F, Rhein KH, Rinneberg H. Human cardiac imaging at 3 T using phased array coils. Magn Reson Med. 2000;44:978-982.

(16.) Wen H, Denison TJ, Singerman RW, Balaban RS. The intrinsic signal-to-noise ratio in human cardiac imaging at 1.5, 3, and 4 T. J Magn Reson. 1997;125:65-71.

(17.) Michaely HJ, Nael K, Schoenberg SO, et al. Analysis of cardiac function-Comparison between 1.5 Tesla and 3.0 Tesla cardiac cine magnetic resonance imaging: Preliminary experience. Invest Radiol. 2006;41:133-140.

(18.) Wintersperger BJ, Nikolaou K, Dietrich O, et al. Single breath-hold real-time cine MR imaging: Improved temporal resolution using generalized auto-calibrating partially parallel acquisition (GRAPPA) algorithm. Eur Radiol. 2003;13:1931-1936.

(19.) Li W, Storey P, Chen Q, et al. Dark flow artifacts with steady-state free precession cine MR technique: Causes and implications for cardiac MR imaging. Radiology. 2004;230:569-575.

(20.) Deshpande VS, Shea SM, Li D. Artifact reduction in true-FISP imaging of the coronary arteries by adjusting imaging frequency. Magn Reson Med. 2003;49:803-809.

(21.) Fonseca CG, Nael K, Weinmann HJ, et al. Cardiac cine MRI at 3.0T: Initial experience with Gadomer-17 in a swine model. Presented at the ISMRM Fourteenth Scientific Meeting and Exhibition; May 6-12, 2006; Seattle, WA.

(22.) Misselwitz B, Schmitt-Willich H, Ebert W, et al. Pharmacokinetics of Gadomer-17, a new dendritic magnetic resonance contrast agent. MAGMA. 2001; 12:128-134.

(23.) Moran PR. A flow velocity zeugmatographic interlace for NMR imaging in humans. Magn Reson Imaging. 1982;1:197-203.

(24.) Matthaei D, Haase A, Merboldt KD, et al. ECG-triggered arterial FLASH-MR flow measurement using an external standard. Magn Reson Imaging. 1987;5:325-330.

(25.) Firmin DN, Nayler GL, Klipstein RH, et al. In vivo validation of MR velocity imaging. J Comput Assist Tomogr. 1987;11:751-756.

(26.) Gutberlet M, Schwinge K, Freyhardt P, et al. Influence of high magnetic field strengths and parallel acquisition strategies on image quality in cardiac 2D CINE magnetic resonance imaging: Comparison of 1.5 T vs. 3.0 T. Eur Radiol. 2005; 15:1586-1597.

(27.) Lotz J, Doker R, Noeske R, et al. In vitro validation of phase-contrast flow measurements at 3 T in comparison to 1.5 T: Precision, accuracy, and signal-to-noise ratios. J Magn Reson Imaging. 2005;21: 604-610.

(28.) Tang C, Blatter DD, Parker DL. Accuracy of phase-contrast flow measurements in the presence of partial-volume effects. J Magn Reson Imaging. 1993; 3:377-385.

(29.) Lotz J, Meier C, Leppert A, Galanski M. Cardiovascular flow measurement with phase-contrast MR imaging: Basic facts and implementation. RadioGraphics. 2002;22:651-671.

(30.) Hofman MB, Visser FC, van Rossum AC, et al. In vivo validation of magnetic resonance blood volume flow measurements with limited spatial resolution in small vessels. Magn Reson Med. 1995;33:778-784.

(31.) Sakuma H, Kawada N, Kubo H, et al. Effect of breath holding on blood flow measurement using fast velocity encoded cine MRI. Magn Reson Med. 2001; 45:346-348.

(32.) Sugano S, Yamamoto K, Sasao K, Watanabe M. Portal venous blood flow while breath-holding after inspiration or expiration and during normal respiration in controls and cirrhotics. J Gastroenterol. 1999; 34:613-618.

(33.) Kilner PJ, Firmin DN, Rees RS, et al. Valve and great vessel stenosis: Assessment with MR jet velocity mapping. Radiology. 1991;178:229-235.

(34.) Mitchell L, Jenkins JP, Watson Y, et al. Diagnosis and assessment of mitral and aortic valve disease by cine-flow magnetic resonance imaging. Magn Reson Med. 1989;12:181-197.

(35.) Hundley WG, Li HF, Willard JE, et al. Magnetic resonance imaging assessment of the severity of mitral regurgitation. Comparison with invasive techniques. Circulation. 1995;92:1151-1158.

(36.) Hartiala JJ, Foster E, Fujita N, et al. Evaluation of left atrial contribution to left ventricular filling in aortic stenosis by velocity-encoded cine MRI. Am Heart J. 1994;127:593-600.

(37.) Boxt LM. Magnetic resonance and computed tomographic evaluation of congenital heart disease. J Magn Reson Imaging. 2004;19:827-847.

(38.) Kruger S, Haage P, Hoffmann R, et al. Diagnosis of pulmonary arterial hypertension and pulmonary embolism with magnetic resonance angiography. Chest. 2001;120:1556-1561.

(39.) Frank H, Globits S, Glogar D, et al. Detection and quantification of pulmonary artery hypertension with MR imaging: Results in 23 patients. AJR Am J Roentgenol. 1993;161:27-31.

(40.) Murray TI, Boxt LM, Katz J, et al. Estimation of pulmonary artery pressure in patients with primary pulmonary hypertension by quantitative analysis of magnetic resonance images. J Thorac Imaging. 1994;9:198-204.

(41.) Kim RJ, Wu E, Rafael A, et al. The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med. 2000;343:1445-1453.

(42.) Klein C, Nekolla SG, Bengel FM, et al. Assessment of myocardial viability with contrast-enhanced magnetic resonance imaging: Comparison with positron emission tomography. Circulation. 2002;105:162-167.

(43.) Wagner A, Mahrholdt H, Holly TA, et al. Contrast-enhanced MRI and routine single photon emission computed tomography (SPECT) perfusion imaging for detection of subendocardial myocardial infarcts: An imaging study. Lancet. 2003;361:374-379.

(44.) Lee VS, Resnick D, Tiu SS, et al. MR imaging evaluation of myocardial viability in the setting of equivocal SPECT results with (99m)Tc sestamibi. Radiology. 2004;230:191-197.

(45.) Simonetti OP, Kim RJ, Fieno DS, et al. An improved MR imaging technique for the visualization of myocardial infarction. Radiology. 2001;218:215-223.

(46.) Kellman P, Arai AE, McVeigh ER, Aletras AH. Phase-sensitive inversion recovery for detecting myocardial infarction using gadolinium-delayed hyperenhancement. Magn Reson Med. 2002;47:372-383.

(47.) Huber A, Bauner K, Wintersperger BJ, et al. Phase-sensitive inversion recovery (PSIR) single-shot TrueFISP for assessment of myocardial infarction at 3 tesla. Invest Radiol. 2006;41:148-153.

(48.) Schulz-Menger J, Gross M, Messroghli D, et al. Cardiovascular magnetic resonance of acute myocardial infarction at a very early stage. J Am Coll Cardiol. 2003;42:513-518.

(49.) Nilsson JC, Nielsen G, Groenning BA, et al. Sustained postinfarction myocardial oedema in humans visualised by magnetic resonance imaging. Heart. 2001;85:639-642.

(50.) Thomson LE, Kim RJ, Judd RM. Magnetic resonance imaging for the assessment of myocardial viability. J Magn Reson Imaging. 2004;19:771-788.

(51.) Bourdarias JP. Coronary reserve: Concept and physiological variations. Eur Heart J. 1995;16 (suppl I):2-6.

(52.) Chiu CW, So NM, Lam WW, et al. Combined first-pass perfusion and viability study at MR imaging in patients with non-ST segment-elevation acute coronary syndromes: Feasibility study. Radiology. 2003; 226:717-722.

(53.) Al-Saadi N, Nagel E, Gross M, et al. Improvement of myocardial perfusion reserve early after coronary intervention: Assessment with cardiac magnetic resonance imaging. J Am Coll Cardiol. 2000;36:1 557-1564.

(54.) Poncelet BP, Koelling TM, Schmidt CJ, et al. Measurement of human myocardial perfusion by double-gated flow alternating inversion recovery EPI. Magn Reson Med. 1999;41:510-519.

(55.) Keijer JT, van Rossum AC, van Eenige MJ, et al. Magnetic resonance imaging of regional myocardial perfusion in patients with single-vessel coronary artery disease: Quantitative comparison with (201)Thallium-SPECT and coronary angiography. J Magn Reson Imaging. 2000;11:607-615.

(56.) Al-Saadi N, Nagel E, Gross M, et al. Noninvasive detection of myocardial ischemia from perfusion reserve based on cardiovascular magnetic resonance. Circulation. 2000;101:1379-1383.

(57.) Panting JR, Gatehouse PD, Yang GZ, et al. Echo-planar magnetic resonance myocardial perfusion imaging: Parametric map analysis and comparison with thallium SPECT. J Magn Reson Imaging. 2001; 13:192-200.

(58.) Miller S, Helber U, Brechtel K, et al. MR imaging at rest early after myocardial infarction: Detection of preserved function in regions with evidence for ischemic injury and non-transmural myocardial infarction. Eur Radiol. 2003;13:498-506.

(59.) Nagel E, Klein C, Paetsch I, et al. Magnetic resonance perfusion measurements for the noninvasive detection of coronary artery disease. Circulation. 2003;108:432-437.

(60.) Doyle M, Fuisz A, Kortright E, et al. The impact of myocardial flow reserve on the detection of coronary artery disease by perfusion imaging methods: An NHLBI WISE study. J Cardiovasc Magn Reson. 2003;5:475-485.

(61.) Cullen JH, Horsfield MA, Reek CR, et al. A myocardial perfusion reserve index in humans using first-pass contrast-enhanced magnetic resonance imaging. J Am Coll Cardiol. 1999;33:1386-1394.

(62.) Ingkanisorn WP, Kwong RY, Bohme NS, et al. Prognosis of negative adenosine stress magnetic resonance in patients presenting to an emergency department with chest pain. J Am Coll Cardiol. 2006; 47:1427-1432.

(63.) Araoz PA, Glockner JF, McGee KP, et al. 3 Tesla MR imaging provides improved contrast in first-pass myocardial perfusion imaging over a range of gadolinium doses. J Cardiovasc Magn Reson. 2005;7:559-564.

(64.) Barkhausen J, Hunold P, Jochims M, Debatin JF. Imaging of myocardial perfusion with magnetic resonance. J Magn Reson Imaging. 2004;19:750-757.

(65.) Di Bella EV, Parker DL, Sinusas AJ. On the dark rim artifact in dynamic contrast-enhanced MRI myocardial perfusion studies. Magn Reson Med. 2005;54:1295-1299.

(66.) Gatehouse PD, Elkington AG, Ablitt NA, et al. Accurate assessment of the arterial input function during high-dose myocardial perfusion cardiovascular magnetic resonance. J Magn Reson Imaging. 2004; 20:39-45.

(67.) Kim D, Axel L. Multislice, dual-imaging sequence for increasing the dynamic range of the contrast-enhanced blood signal and CNR of myocardial enhancement at 3T. J Magn Reson Imaging. 2006; 23:81-86.

(68.) Paulin S, von Schulthess GK, Fossel E, Krayen-buehl HP. MR imaging of the aortic root and proximal coronary arteries. AJR Am J Roentgenol. 1987; 148:665-670.

(69.) Deshpande VS, Shea SM, Laub G, et al. 3D magnetization-prepared true-FISP: A new technique for imaging coronary arteries. Magn Reson Med. 2001;46:494-502.

(70.) Kaul MG, Stork A, Bansmann PM, et al. Evaluation of balanced steady-state free precession TrueFISP) and K-space segmented gradient echo sequences for 3D coronary MR angiography with navigator gating at 3 Tesla. Rofo. 2004;176: 1560-1565.

(71.) Bi X, Park J, Larson AC, et al. Contrast-enhanced 4D radial coronary artery imaging at 3.0 T within a single breath-hold. Magn Reson Med. 2005; 54:470-475.

(72.) Huber ME, Paetsch I, Schnackenburg B, et al. Performance of a new gadolinium-based intravascular contrast agent in free-breathing inversion-recovery 3D coronary MRA. Magn Reson Med. 2003;49: 115-121.

(73.) Bedaux WL, Hofman MB, Wielopolski PA, et al. Three-dimensional magnetic resonance coronary angiography using a new blood pool contrast agent: Initial experience. J Cardiovasc Magn Reson. 2002; 4:273-282.

Products used:

* 1.5T MAGNETOM Avanto MR scanner (Siemens Medical Solutions, Malvern, PA)

* 3T MAGNETOM Trio MR scanner (Siemens Medical Solutions)

* Gadopentetate dimeglumine (Magnevist, Bayer HealthCare Pharmaceuticals, Inc., Wayne, NJ)

* LEONARDOworkstation (Siemens Medical Solutions)

* syngo Argus software (Siemens Medical Solutions)

* syngo 3D MR postprocessing software (Siemens Medical Solutions)

Roya S. Saleh, MD, Derek G. Lohan, MD, Kambiz Nael, MD, Maleah Grover-McKay, MD, and J. Paul Finn, MD

Dr. Saleh is a Radiology Research Fellow, Division of Diagnostic Cardiovascular Imaging, Dr. Nael is a Radiology Resident, Dr. Lohan is a Visiting Assistant Professor of Radiology, and Dr. Finn is a Professor of Radiology and Medicine, the Chief of Diagnostic Cardiovascular Imaging, and the Director of Magnetic Resonance Research, Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA. Dr. Grover-McKay is a Staff Radiologist and Cardiologist in the Hoag Hospital, Newport Beach, CA.
Table 1. Suggested velocity-encoding value (VENC)
for sample vessels (in cm/second)

                                  Range of        Suggested
                                  peak velocity   VENC

Ascending aorta                   100-160         200
Main pulmonary artery             60-120          150
Right and left pulmonary artery   60-120          150
Superior vena cava                50-80           100
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