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J Am Coll Cardiol Img, 2010; 3:176-187, doi:10.1016/j.jcmg.2009.09.024
© 2010 by the American College of Cardiology Foundation
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State-of-the-Art Paper

Myocardial Perfusion Imaging With Contrast Ultrasound

Thomas R. Porter, MD*, Feng Xie, MD

University of Nebraska Medical Center, Omaha, Nebraska


    Abstract
 Top
 Abstract
 Perfusion Imaging Techniques...
 Clinical Application of...
 Conclusions
 REFERENCES
 
This report reviews the development and clinical application of myocardial perfusion imaging with myocardial contrast echocardiography (MCE). This includes the development of microbubble formulations that permit the detection of left ventricular contrast from venous injection and the imaging techniques that have been invented to detect the transit of these microbubbles through the microcirculation. The methods used to quantify myocardial perfusion during a continuous infusion of microbubbles are described. A review of the clinical studies that have examined the clinical utility of myocardial perfusion imaging with MCE during rest and stress echocardiography is then presented. The limitations of MCE are also discussed.

Key Words: myocardial contrast echocardiography • ultrasound contrast

Abbreviations and Acronyms
  CAD = coronary artery disease
  LBBB = left bundle branch block
  MCE = myocardial contrast echocardiography
  MI = mechanical index
  PET = positron emission tomography
  SPECT = single-photon emission computed tomography
  RT = real-time perfusion


A series of inventions and scientific breakthroughs are responsible for the development of myocardial perfusion imaging with myocardial contrast echocardiography (MCE). First, there was the invention of stable microbubble shells using either electromechanical sonication of albumin or lipid emulsions (1,2). Second there was the stabilization of these microbubbles following venous injection by the incorporation of a high molecular weight insoluble gas within the shell, which permitted consistent left ventricular opacification following venous injection (3). Then, it was discovered that the typical ultrasound imaging techniques at a high mechanical index (MI) were destroying these microbubbles as they transited through the myocardial microcirculation. By either triggering ultrasound to one frame every cardiac cycle or by utilizing a very low mechanical index and harmonic imaging, myocardial contrast enhancement from a venous injection of microbubbles was consistently visualized (4). With harmonic triggered imaging, myocardial perfusion abnormalities were visualized in humans using very small intravenous bolus injections of perflourocarbon containing microbubbles (5). Finally, a team of investigators headed by Kevin Wei and Sanjiv Kaul at the University of Virginia made the landmark discovery that these ultrasound triggering techniques could be utilized to quantify myocardial blood flow, and even examine the components responsible for myocardial blood flow (6). This has led to clinical studies demonstrating how MCE can provide important bedside information on myocardial blood flow during stress echocardiography laboratory (7–10), in the acute and chronic assessment of myocardial viability (11–14), and in the emergency department (15). This paper will review the technical aspects of myocardial perfusion imaging with MCE, and how it has been utilized to detect coronary artery disease and guide management.


    Perfusion Imaging Techniques With Myocardial Contrast Echocardiography
 Top
 Abstract
 Perfusion Imaging Techniques...
 Clinical Application of...
 Conclusions
 REFERENCES
 
Microbubbles in an ultrasonic field are strong scatterers, sending compression and rarefaction waves back to the scanner. At peak negative pressures above 0.1 MPa, the microbubbles respond in a nonlinear manner. In general, what nonlinear behavior means is that the magnitude of compression and rarefaction waves are not the same with each oscillation. At these low incident pressures, the microbubbles exhibit both linear and nonlinear returning waves, whereas the myocardium and other structures primarily exhibit linear responses (16). The nonlinear responses occur in both the fundamental and harmonic frequencies and can be received and filtered by the echocardiographic system. Ultrasound imaging software that selectively receives the nonlinear responses produces a much better signal-to-noise ratio and more sensitive detection of microbubbles than what would be received from conventional imaging software (17).

Microbubbles are destroyed by real-time ultrasound when it is transmitted at higher intensities (MIs >0.3). Destruction can be reduced by decreasing the frame rate to 1 out of every 1 to several cardiac cycles, usually with triggering the frame to the electrocardiogram. This has been referred to as intermittent imaging, and has been used with both harmonic and power Doppler systems (18–21). When the intermittent ultrasound impulse is at a high intensity (>0.9 MI), there is a strong and brief nonlinear echo from the bubble. Interrupting the high-intensity ultrasound for a short period of time allows for replacement of microbubbles, which serve to produce contrast enhancement for the subsequent triggered frame. When microbubbles are administered as a continuous infusion and the ultrasound pulsing interval is incrementally varied, the reappearance of bubbles in the myocardium permits the calculation of mean microbubble velocity and plateau (or peak) myocardial signal intensity (5). Multiplying these 2 variables together, one can quantify myocardial blood flow changes. With these intermittent imaging techniques, it has become possible to noninvasively examine myocardial perfusion in animals and humans using a wide variety of intravenous higher molecular weight microbubbles (22,23). Significant achievements have been made in low MI real-time visualization of myocardial function. Pulse inversion Doppler is a multipulse technique that separates linear and nonlinear scattering using the radiofrequency domain. When used at a very low MI, linear scatterers like myocytes and tissue will have their signals canceled, whereas nonlinear scatterers (like microbubbles) will produce summated signals (24). Pulse inversion Doppler overcomes motion artifacts by sending multiple pulses of alternating polarity into the myocardium. This allows one to visualize wall thickening and contrast enhancement simultaneously at very low MIs (<0.2) while maintaining an excellent signal-to-noise ratio. Because it can receive only even order harmonics, however, there is significant attenuation, especially in basal myocardial segments in apical windows.

Power modulation is another technique that improves the signal-to-noise ratio at very low mechanical indices. This technique, developed by Philips (Andover, Massachusetts), is also a multipulse cancellation technique; however, with power modulation, the power of each pulse is varied. Contrast pulse sequencing (Siemens Acuson Sequoia; Mountain View, California) extends these multipulse techniques by interpulse phase and amplitude modulation (25). Both power modulation and contrast pulse sequencing can be used at a very low MI to assess myocardial contrast in real time with excellent spatial resolution at higher bandwidths (Fig. 1). In these examples, note that background signals from the myocardium are virtually absent.


Figure 1
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Figure 1 An Example of the Excellent Background Subtraction

The images are achieved with low–mechanical index pulse sequence schemes designed to assess myocardial perfusion. In this apical 4-chamber view, note that there are virtually no signals from the myocardium before contrast administration (A), but excellent left ventricular cavity opacification (B) and eventual myocardial contrast (C) after venous infusion of ultrasound contrast. The attenuation in the basal segments is most likely due to a high initial concentration of microbubbles in the left ventricular cavity.

 
Qualitative and quantitative methods of myocardial perfusion analysis.   Regardless of the route of microbubble injection, an accurate definition of microbubble concentration in the myocardium requires that the relationship between concentration and signal intensity be linear. This precondition is fulfilled at low intramyocardial microbubble concentrations. At a certain microbubble concentration, however, echocardiographic systems normally reach a saturation point, where videointensity is no longer proportional to the microbubble concentration (26). This becomes a factor with bolus injections of microbubbles, in which transient high concentrations can be reached even in regions with reduced myocardial blood flow, leading to a brief period during which contrast enhancement falsely appears normal in these regions. It is not until microbubble concentration falls during the washout period that differences in microbubble concentration are visually evident. It is during this time period that there is a linear relationship between concentration and signal intensity. With bolus intravenous injections of microbubbles, the myocardial contrast intensity during this washout period is a reflection of myocardial blood volume. Estimates of myocardial blood flow cannot be ascertained from bolus injections, because mean transit times cannot be obtained from time intensity curves due to dispersion of the bolus by intrapulmonary filtering.

The difficulties arising with thresholding effect and saturation point of echocardiography systems can partly be avoided by using a continuous peripheral venous infusion for microbubbles instead of a bolus injection. This method assumes that the input of microbubbles into the myocardium is constant. The practical advantage of a continuous infusion is that attenuation artifacts due to high contrast intensity in the left ventricular cavity can be reduced (27–29). Moreover, the contrast dosage administered can easily be adjusted on the basis of what is seen during imaging (29).

The ultrasound beam destroys these microbubbles when a high MI is used, so that insonation at high MIs results in almost complete bubble destruction with every pulse. Triggering ultrasound to 1 frame timed to end systole in the cardiac cycle at a sequence of incrementally longer cardiac cycles allows a replenishment of contrast agent corresponding to flow to the given region during that time sequence. The longer the triggering intervals are set, the more microbubbles replenish the capillaries and the higher the signal intensity to be registered in the tissue, until finally a plateau phase is reached. Alternatively, if one is imaging at a low MI in real time, brief high-MI impulses can be applied to the imaging plane, after which replenishment can be visualized in real time at the low MI (Fig. 2). Regardless of the technique, the plateau background-subtracted myocardial contrast intensity of a respective myocardial region is related to the capillary cross-sectional area. The initial slope at which this plateau stage is achieved is proportional to the blood flow velocity in that region. The slope times peak or plateau myocardial videointensity, therefore, represents a measure of myocardial blood flow (6).


Figure 2
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Figure 2 An Example of Normal Myocardial Replenishment (Apical 3-Chamber)

With real-time perfusion image, the myocardial replenishment is after a high–mechanical index (MI) impulse. Note under resting conditions (A) that normal replenishment occurs within 4 s of the high MI impulse, whereas during stress (vasodilator, dobutamine, exercise), replenishment normally occurs within 2 s (B).

 
Factors such as attenuation, underlying tissue signals, incomplete microbubble destruction with high MI impulses, and difficulties with software quantification techniques have prevented the widespread use of quantification during myocardial contrast echocardiography (MCE). Models have been proposed and validated that correct for attenuation in the plateau myocardial signal intensity by dividing it by the adjacent left ventricular cavity intensity. These normalized plateau intensities, when multiplied by the rate of contrast replenishment and divided by tissue density, can be used to compute myocardial blood flow (30). Continuous infusion techniques can be done with infusion pumps or hand-held infusions. With either of the commercially available contrast agents, one can mix them at the bedside with saline and infuse them either as a continuous drip or as a hand-held infusion.


    Clinical Application of Ultrasonographic Contrast for Perfusion Imaging
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 Abstract
 Perfusion Imaging Techniques...
 Clinical Application of...
 Conclusions
 REFERENCES
 
With Vasodilator Stress Perfusion Imaging.   Detection of coronary artery disease
Radionuclide scintigraphy is still considered by the majority of cardiologists as the diagnostic tool to assess myocardial perfusion during stress testing. This method, when performed with technetium-99m (99mTc) or 201Tl, has been reported to detect coronary artery disease (CAD) with high sensitivity during exercise or vasodilator stress imaging. Despite its widespread use, however, both radionuclide single-photon emission computed tomography (SPECT) and positron emission tomography (PET) are limited by poor spatial resolution. SPECT is also limited by frequent attenuation artifacts. With intravenous perfluorocarbon contrast agents and nonlinear ultrasonographic imaging techniques, detection of underperfused myocardial segments during stress echocardiography has become a feasible alternative. Initial studies deployed intermittent harmonic or power Doppler imaging techniques to detect coronary stenoses during vasodilator stress. Using intravenous Optison and intermittent high MI harmonic imaging, Kaul et al. (7) described a 92% concordance between segmental perfusion scores by MCE and 99mTc-sestamibi SPECT at rest and during dipyridamole stress. Heinle et al. (9) used an intravenous Optison infusion and harmonic power Doppler imaging at long pulsing intervals during adenosine stress testing to compare perfusion with 99mTc-sestamibi SPECT in 123 patients with suspected CAD. There was an overall concordance between both techniques of 83%; concordance was higher in patients with no or multivessel CAD.

Real-time perfusion and other lower MI imaging techniques have been applied to vasodilator stress as well (Table 1) (10,31–43). Recently, the first multicenter studies compared MCE (triggered replenishment imaging) with radionuclide SPECT. These demonstrated a similar sensitivity and specificity between the 2 techniques, regardless of stenosis severity (31). Quantitative measurements of myocardial blood flow reserve have yielded sensitivities and specificities for the detection of CAD that exceeded both visual and quantitative assessments of dipyridamole stress with radionuclide SPECT (32). The better spatial resolution of MCE has been shown to improve the detection of subendocardial perfusion defects that would otherwise go undetected with lower-resolution SPECT imaging. An example of this is shown in Figure 3, where an anteroseptal and apical perfusion defect during adenosine stress is evident during the replenishment phase of contrast with real-time MCE. The corresponding radionuclide image appeared normal, despite the presence of a significant left anterior descending lesion at quantitative angiography (33). In the majority of these studies, the analysis of perfusion with MCE was performed independent of wall motion analysis. As might be expected with vasodilator stress, myocardial perfusion analysis consistently has had higher sensitivity for detecting CAD than wall motion analysis. Proposed protocols for perfusion imaging with either dipyridamole or adenosine stress are displayed in Figure 4. Note that due to the beam width elevation and capillary blood flow, normal myocardial blood flow under resting conditions should be within 5 s of a high-MI impulse, whereas during vasodilator or exercise stress replenishment, it should be within 2 s (Fig. 2).


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Table 1 Vasodilator Myocardial Perfusion Stress Imaging Studies Performed With Intravenous Ultrasound Contrast During Stress Echocardiography in the Last 5 Years
 

Figure 3
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Figure 3 An Example of a Subendocardial Perfusion Defect

The defect is evident in the anteroseptal and apical segments of the left ventricle during the replenishment phase of contrast after a high–mechanical index impulse during adenosine stress imaging. Note that because the defect was confined to the subendocardium (black arrows), there was no evident defect noted on the lower-resolution radionuclide single-photon emission computed tomography (SPECT) image despite the presence of significant coronary artery disease at angiography (Angio) (red arrows). Reprinted, with permission, from Xie et al. (33).

 

Figure 4
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Figure 4 Proposed Protocols for Dipyridamole or Adenosine Stress Infusions

The images shown are not intended for analysis of perfusion, but to serve as reminders when to examine myocardial contrast echocardiography.

 
During Dobutamine Stress Echocardiography.   Animal studies have shown that perfusion defects appear before wall-thickening abnormalities during dobutamine infusion and better delineate the area at risk (44). Clinical MCE studies comparing myocardial perfusion with wall motion during dobutamine stress have confirmed this better sensitivity (Table 2) (44–52). In predominately single-center studies, real-time perfusion echocardiography has been shown to increase the sensitivity of the dobutamine stress test when compared with wall motion analysis (44–46,53) and improve the ability of the test to predict death or nonfatal myocardial infarction (4). Dolan et al. (54) recently published multicenter data confirming the prognostic value of perfusion imaging during dobutamine stress echocardiography. In their study, an inducible perfusion defect, even in the absence of a wall motion abnormality, was an independent predictor of risk for subsequent death or nonfatal myocardial infarction (54).


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Table 2 Dobutamine or Exercise Myocardial Perfusion Stress Imaging Studies Performed With Intravenous Ultrasound Contrast During the Last 5 Years
 
Newer clinical studies have suggested that real-time perfusion imaging may assist in the detection of subendocardial ischemia during dobutamine stress. In patients with significant left anterior descending CAD, subendocardial wall-thickening abnormalities were detected in 35 of 45 patients with subendocardial perfusion defects despite the presence of normal transmural wall thickening (55). Because dobutamine will recruit the subepicardial layers to contract, these wall-thickening abnormalities would have gone undetected if contrast were only used to enhance endocardial borders. An example of this is demonstrated in Figure 5, where the presence of a subendocardial perfusion defect in the apex and apical lateral segments permitted the detection of a wall-thickening abnormality when transmural wall thickening appeared normal.


Figure 5
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Figure 5 An Example of a Subendocardial Wall-Thickening Abnormality

The abnormality is delineated by real-time perfusion imaging during the replenishment phase of contrast (During MCR) after the high–mechanical index (MI) impulse. If only transmural wall thickening were examined in this patient (Pre-MCR after High MI Impulse images), the wall thickening would have appeared normal. Reprinted, with permission, from Xie et al. (55). MCR = myocardial contrast replenishment.

 
Real-time MCE during exercise stress echocardiography
There are greater challenges when attempting to use real-time perfusion imaging during treadmill or bicycle exercise stress echocardiography. These include increased frequency of respiratory artifacts and the brief period of time when a patient can be examined at peak stress. Nonetheless, multicenter studies using treadmill and supine bicycle stress have demonstrated the incremental value of myocardial perfusion assessment using low-MI imaging during exercise testing (47). Indeed, recent data have suggested that real-time perfusion imaging, by delineating subendocardial wall-thickening abnormalities, may further improve the sensitivity of wall motion analysis during treadmill exercise stress (56). Supine bicycle exercise studies during a continuous infusion of ultrasound contrast have shown that replenishment delays in contrast enhancement after high-MI impulses have 88% sensitivity and accuracy for the detection of significant CAD (48). An example of a treadmill exercise-induced perfusion defect is delineated in Figure 6. Figure 7 illustrates proposed protocols for real-time perfusion imaging during dobutamine or exercise stress.


Figure 6
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Figure 6 An Example of an Inferior Wall Perfusion Defect

The defect was confined to the subendocardium after treadmill exercise stress, where a subendocardial wall-thickening abnormality was also observed (blue arrows). Note also the end-systolic shape change that accompanies the perfusion defect. The open arrows indicate an area of rib shadowing that prevented delineation of perfusion in the basal to mid-anterior segments. A foreshortened apical 2-chamber view can be used to delineate perfusion in these segments.

 

Figure 7
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Figure 7 Proposed Protocols for Dobutamine or Treadmill/Bicycle Exercise Stress

The images shown are not intended for analysis of perfusion, but to serve as reminders when to examine myocardial contrast echocardiography (MCE).

 
Assessment of myocardial viability in the acute and chronic setting
MCE has proven useful in evaluating patients after interventional or thrombolytic treatment in acute myocardial infarction. Identification of patients with the "no-reflow" phenomenon has proven to be an important clinical application for MCE (57–59). This phenomenon, described first in an animal setting by Kloner et al. in 1974 (57), is characterized by a lack of recovery in microvascular perfusion, although the occluded coronary artery is successfully reopened by percutaneous intervention or thrombolysis. Ito et al. (58) were the first to systematically examine myocardial microvascular perfusion with intracoronary microbubbles in patients with acute anteroseptal myocardial infarction immediately after restoration of antegrade flow in the left anterior descending artery. Several investigators have succeeded in detecting the no-reflow phenomenon from intravenous administration of microbubbles (Table 3) (13,60–68). In patients undergoing primary coronary stenting, homogenous myocardial contrast enhancement within the infarct zone by continuous-infusion intravenous MCE has been shown to be highly predictive of regional recovery of function (10). Restoration of microvascular perfusion was most likely to occur if patients demonstrated at least partial perfusion to the risk area before primary stenting. MCE performed during dipyridamole infusion 1 week after acute myocardial infarction in patients receiving primary fibrinolytic therapy has been shown to be useful in detecting both a significant residual stenosis within the infarct vessel and predicting when multivessel coronary disease is present (67). The extent and severity of myocardial contrast defect size, determined with real-time perfusion, has been shown to be an independent predictor of both death and recurrent myocardial infarction at a mean of nearly 4 years post-infarction (11). Multicenter studies have recently demonstrated that the extent of microvascular damage, assessed on day 1 after reperfusion therapy in acute myocardial infarction, is the most powerful independent predictor of whether left ventricular remodeling will occur (68).


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Table 3 Viability Studies Examining the Predictive Value of MCE Examined Within 7 Days of Acute Myocardial Infarction in Predicting Outcome (Both Recovery of Regional Function and Clinical Outcome)
 
In patients with chronic CAD and left ventricular dysfunction, both the visual and quantitative assessment of MCE during a continuous infusion of intravenous microbubbles has provided significant independent data on the effects of revascularization to that segment. In this setting, the product of the slope of myocardial replenishment and plateau myocardial contrast intensity (an index of myocardial blood flow) in dysfunctional segments correlated with contractile reserve by low-dose dobutamine, as well as >60% thallium uptake with radionuclide SPECT. More importantly, this index of myocardial blood flow by MCE was able to identify viable myocardium in segments that did not exhibit contractile reserve by dobutamine stress (69,70). However, these studies were small (n = 20 patients) and have yet to be verified in multicenter studies.

Real-time MCE to detect CAD in clinical scenarios where radionuclide imaging and wall motion are limited
Patients with left bundle branch block (LBBB) or pacemaker-dependent patients represent clinical scenarios where both the assessment of wall thickening and conventional myocardial perfusion imaging with radionuclide SPECT are not helpful in the detection of CAD (47). In these patients, there are difficulties with interpretation of wall thickening in the septum (in LBBB) or, in pacemaker-dependent patients, in the septum and entire apex. In LBBB patients, perfusion defects in the interventricular septum are seen on radionuclide SPECT despite normal myocardial blood flow with real-time perfusion and no significant CAD by angiography (Fig. 8). The reason for this appears to be the partial volume effect, as the false-positive perfusion defects seen with radionuclide SPECT had a normal perfusion appearance with higher-resolution real-time MCE and were independently associated with smaller septal systolic wall-thickness measurements (34). Similar wall-thickness abnormalities encompassing a larger territory (the septum and apex) are seen in pacemaker-dependent patients. Although real-time MCE may be useful for ruling in or ruling out significant CAD in these patients, it has yet to be determined in published clinical studies.


Figure 8
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Figure 8 An Example of a Patient With Left Bundle Branch Block

An example of a patient with left bundle branch block who exhibited normal perfusion with myocardial contrast echocardiography but abnormal perfusion in the septum during radionuclide single-photon emission computed tomography despite no significant coronary artery disease. See text for details. Reprinted, with permission, from Hayat et al. (34).

 
Artifacts in myocardial perfusion assessments
One must be able to differentiate potential artifacts that create the appearance of perfusion defects. The most common source of artifacts is attenuation. This typically occurs in basal segments and is differentiated from true defects by its location. Attenuation typically masks not only the myocardium, but adjacent epicardial and endocardial borders as well. Attenuation is usually present both at rest and during stress, whereas inducible defects are present only during stress and typically involve just the subendocardium. Other potential artifacts are lung shadows, which will often mask an entire region (e.g., the anterior wall in the apical 2-chamber view) (Fig. 6). A second location where artifacts tend to occur is in the apical region. If the near-field gains (time gain compensation) are set too low, the apex will appear hypoperfused. Unlike true defects, this can be corrected by increasing the near-field potentiometer settings. Near-field destruction of microbubbles can also cause the false appearance of perfusion defects in the apex. This can be corrected by moving the focus to the near field, which decreases the scan-line density in this region and reduces destruction.


    Conclusions
 Top
 Abstract
 Perfusion Imaging Techniques...
 Clinical Application of...
 Conclusions
 REFERENCES
 
MCE is a bedside imaging technique that has very high resolution and can be performed without the need of ionizing radiation. The use of intravenous microbubbles for perfusion imaging is now a reality. Unfortunately, the U.S. Food and Drug Administration still has not approved the use of ultrasound contrast for myocardial perfusion imaging. Nonetheless, the real-time methods used to achieve optimal left ventricular opacification (the approved U.S. Food and Drug Administration indication) often result in myocardial opacification, which permits the simultaneous analysis of perfusion. Consensus documents from both the U.S. and Europe have also clearly summarized the incremental value of myocardial perfusion imaging in detecting CAD both during rest and stress echocardiography (71,72). Clinical studies have demonstrated the potential for this technique in the emergency department, during stress echocardiography, and in the detection of viability, and prospective studies are underway to examine the prognostic value of real-time perfusion imaging during stress echocardiography as compared with conventional echocardiographic imaging.


    Footnotes
 
Dr. Porter has received modest grant support from Lantheus Medical Imaging and Astellas Pharma Inc., significant grant support from NuVox Pharma Inc., and other grant support (i.e., equipment, drugs, and software) from Siemens Medical Imaging, and has served as a consultant or received honorarium from Lantheus Medical Imaging and Point BioMed. Sanjiv Kaul, MD, served as Guest Editor for this paper.

* Reprint requests and correspondence: Dr. Thomas R. Porter, University of Nebraska Medical Center, Cardiology, 981165 Nebraska Medical Center, Omaha, Nebraska 68198-1165 (Email: trporter{at}unmc.edu).

Manuscript received May 29, 2009; revised manuscript received August 6, 2009, accepted September 17, 2009.


    REFERENCES
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 Perfusion Imaging Techniques...
 Clinical Application of...
 Conclusions
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