(Stroke. 2000;31:1661.)
© 2000 American Heart Association, Inc.
Original Contributions |
From the Departments of Neurology (C.P., T.S.) and Cardiology (K.T., H.B.), University of Bonn, Bonn, Germany. The first 2 authors contributed equally to this work.
Correspondence to C. Pohl, MD, Department of Neurology, University of Bonn, Sigmund-Freud-Straße 25, D-53105 Bonn, Germany. E-mail c.pohl{at}uni-bonn.de
| Abstract |
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MethodsNonmoving microbubbles (SHU 563 A) were insonated in vitro through the temporal parts of a human cadaver skull, and contrast signals were detected by velocity-coded color Doppler and power Doppler recordings. Transcranial color as well as power Doppler investigations were performed in 10 healthy volunteers with the echo-contrast agent Levovist (SHU 508 A).
ResultsColor Doppler signals indicating SAE were observed in
vitro and in transcranial human investigations. These
signals were characterized by a mosaic of color Doppler pixels
ranging over the full color scale. Apparent velocity information and
spatial distribution of SAE signals changed from image frame to image
frame. In the experimental model, the intensity of SAE signals
decreased exponentially over time. With an increase of acoustic power,
there was a significant increase of the maximum signal intensity
(P<0.01) and a significantly shortened signal duration
(P<0.01), consistent with stronger and more
rapid disintegration. In humans, SAE signals were clearly detected in
cerebral tissue regions. The intensity of SAE signals in those regions
(eg, temporal cortex, 3.7±1.2 dB) was
8 times lower than the signal
enhancement in the major cerebral arteries (eg, in the MCA,
29.5±5.6).
ConclusionsEcho-contrast specific color Doppler signals known as SAE are detectable by transcranial color and power Doppler sonography. Signals due to SAE might represent tissue perfusion, thereby providing a method for imaging flow with transcranial ultrasound.
Key Words: stimulated acoustic emission power Doppler imaging transcranial color Doppler echo-contrast agents
| Introduction |
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The physical properties of microbubbles in an acoustic field are complex and depend on a number of factors, the most significant of which is acoustic power.7 At low emission power, the bubbles act as linear backscatters. With increasing power, they start emitting nonlinear frequencies that result from pressure-induced radial oscillations of their surface. At high power levels, they can be destroyed. In this process, the shell of the microbubbles is cracked, releasing a free gas bubble that rapidly grows and finally disappears. Because any change in a train of consecutive Doppler bursts results in a signal, it has been proposed that even stationary bubbles cause random pseudo-Doppler shifts due to their disintegration. These signals have been referred to as stimulated acoustic emission (SAE).8 9 10 They are considered to represent an echo-contrastspecific phenomenon useful for depiction of contrast agents of very low flow.
The purpose of this study was to investigate whether SAE signals can be detected by transcranial color Doppler imaging. Therefore, nonmoving microbubbles were insonated through a human skull in an experimental setup, and results were compared with echo-enhanced transcranial investigations in healthy volunteers.
| Subjects and Methods |
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Echo-Contrast Agent
SH-U 563 A (Schering AG) is a transpulmonary stable
echo-contrast agent under development. SH-U 563 A consists of
air-filled microspheres (mean diameter, 2 µm) with a
shell of a thin layer of a biodegradable cyanacrylate polymer.
Ultrasonic Investigations
Registrations were performed by means of an HDI-5000 ultrasound
machine (ATL-Ultrasound). The machine was equipped with an electronic
phased-array transducer with an emission center frequency of 1.67 MHz.
The insonation angle was 85° to minimize reverberation artifacts on
the surface of the gel cylinder. Registrations
were performed through the temporal bone of a
human skull, which was obtained by autopsy. Imaging was done in a way
comparable to the clinical situation, with the outer side of the bone
placed 4 mm from the transducer. Castor oil was used for acoustic
coupling. The investigation depth was set to 10 cm. The sector size of
the color box was chosen to cover the entire gel cylinder. Pulse
repetition frequency (PRF) was set at 1000 Hz. Color gain was adjusted
to avoid system saturation and color noise. Frame rate was 1 Hz to
visually observe effects of single ultrasound pulses.
Experiments
Experiments were performed to study SAE effects in
velocity-coded color Doppler and in power Doppler at
variable emission powers. The mechanical index (MI), displayed on
the image screen of the HDI 5000, served as an estimate of the
transducer output power. Ten color Doppler registrations were
performed at an MI of 1.3, and 10 power Doppler registrations were
performed at an MI of 0.7, 1.0, and 1.3.
Quantitative offline analyses of the power Doppler data were performed with a new calibrated software tool on a standard PC (HDI-Laboratory, ATL) that takes machine settings into account. A circular region of interest (ROI) (400 pixel/cm2) was placed to cover the entire cross-sectional area of the gel cylinder. Mean power Doppler values±SD within this ROI were calculated in decibels. The digital acquisition allowed the removal of the compression curve for these measurements.
Statistics
The intensity of maximum signal enhancement at the first image
frame and the number of image frames needed to reduce the signal
intensity below 0.2 dB were compared for different mechanical indices
by means of a Kruskal-Wallis multigroup analysis.
Human Study
Subjects
Subjects were 10 healthy volunteers (mean age, 33.1±11.2 years;
range, 24 to 65 years; 2 women, 8 men). All subjects had adequate
temporal acoustic windows and normal findings in extracranial and
transcranial color Doppler as well as spectral
Doppler examinations of the anterior circulation. Exclusion
criteria were galactosemia, current pregnancy or lactation, and
history of cerebrovascular disease. Each volunteer provided informed
consent before entering into the study. Recommendations guiding
physicians in biomedical research involving human subjects had been
followed (Declaration of Helsinki, 41st World Medical Assembly,
1990).
Echo-Contrast Agent
Levovist (SHU 508 A) is a galactose-based transpulmonary
stable contrast medium (microbubble size <4 µm in 99%) that
has been approved for use in humans in Germany since 1996. The agent
was injected with an infusion pump (Perfusor Compact, Braun) via the
right antecubital vein at a dose of 10 mL (400 mg/mL; injection speed,
1 mL/s). After the injection, the infusion line was cleared by a bolus
of 5 mL of saline.
Ultrasonic Investigations
Registrations were performed with the above-described ultrasound
equipment. Axial intracranial sections of the right subtemporal region
were investigated by color Doppler and power Doppler processing
modes (MI=1.3, PRF=1000 Hz, focus=6 cm). Doppler power and color
information was achieved for the whole investigated area. Cerebral
arteries were identified according to their anatomic location and flow
characteristics; mesencephalic structures, including the pedunculi
cerebri, were identified by anatomic B-mode information.11
Color gain was adjusted to avoid system saturation and color noise. To
guarantee replenishment of the contrast agent in the investigated
region after ultrasound-induced destruction of microbubbles,
intermittent imaging was performed at a frequency of 1 image frame
every third heart cycle.12
After injection of Levovist, power Doppler raw data were digitally stored and analyzed offline with the above-described software tools. Square ROIs (1 cm2) were placed within the distal middle cerebral artery (MCA) and the temporal cortex. Mean power Doppler signal intensity±SD (decibels) within the ROIs was plotted versus the number of heart cycles.
Statistics
Time-intensity curves obtained in the MCA and the temporal
cortex were compared for differences in the mean appearance time
(enhancement >1 dB) and mean time to peak echo enhancement by means of
a Wilcoxon test.
| Results |
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In power Doppler, the first frame of each imaging sequence showed
an almost homogeneous distribution of the power signals. In
consecutive image frames, a decrease of the signal intensity was
observed, and the distribution of the signals started to have a random
nature (Figure 1b
). At the end of each imaging sequence, only a
few widely distributed power signals appeared. Color as well as power
signals were transient in nature, disappearing over a period of 5 to 60
frames.
Quantitative analysis of power Doppler signals revealed an
exponential decay of signal intensity for all registrations, reflecting
continuous destruction of stationary microbubbles (Figure 2
). When registrations at different
mechanical indices were compared, a significant increase of the maximum
signal intensity at the first image frame (P<0.01) and a
significantly shortened signal duration (P<0.01) were
observed with an increase of acoustic power (Table 1
).
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Human Study
In all subjects, the major branches of the basal circle of Willis
could be identified by unenhanced color and power Doppler, whereas
the brain tissue revealed no color signal. In color Doppler
recordings, the arrival of the echo-contrast agent resulted in
a significant blooming of the major cerebral arteries (Figure 1c
). The blooming was characterized by color Doppler signals
coherent with the signals in the overestimated arteries (eg, the MCA)
in terms of direction and velocity information. However, distinct from
the blooming, color signals appeared in the color window covering parts
of the tissue of the temporal lobe up to an investigation depth of 6
cm, which was the level of focus placement. These color signals had a
random spatial distribution and were characterized by a mosaic of color
pixels ranging over the full variance scale. Both the apparent velocity
information and the spatial distribution of color signals changed from
image frame to image frame.
Also, in power Doppler recordings, the arrival of the
echo-contrast agent produced a significant blooming of the major
cerebral arteries (Figure 1d
), and contrast signals appeared in
cerebral tissue regions covering the entire near field of the color
window. Beyond an investigation depth of 6 cm, there was a considerable
interindividual variability of echo enhancement, ranging from almost no
signals, eg, in the cerebral peduncles, to echo enhancement in parts of
the contralateral hemisphere (see Figure 1d
). The intensity
of the power signals in cerebral tissue regions decreased rapidly,
and the distribution of the signals started to have a random nature,
which changed from image frame to image frame.
Quantitative analysis of power Doppler recordings
revealed that there was a transient increase of signal intensity with
the typical shape of a bolus first-pass effect in both the MCA ROI and
the ROI of the temporal cortex (Figure 3
). In the MCA, this first pass of the
contrast agent was followed by a smaller recirculation effect. In the
temporal cortex, signal intensity again approached the baseline range
(mean signal intensity of 0.5 to 1 dB) after a maximum period of
30
heart cycles. In this area, recirculation of the agent did not produce
sufficient signal enhancement to result in a detectable second increase
of signal intensity in the time-intensity curve. Signal enhancement in
the MCA was
8 times stronger than in the temporal cortex (Table 2
). Moreover, there was a significant
time delay between the appearance time (P<0.01) and the
time to peak concentration (P<0.01) in the MCA and the
temporal cortex.
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| Discussion |
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There is still little experimental knowledge about the generation of SAE. It has been suggested that SAE derives from rapid changes of the size of the microbubbles and their disintegration during insonation.8 9 10 These changes during a train of color Doppler bursts result in a high-frequency Doppler signal. We refer to this signal as a pseudoDoppler signal, because the signal can originate from nonmoving microbubbles. Except for system noise, all other Doppler signals detected in the body are strictly due to motion relative to the scan head. Wei et al7 demonstrated that the applied acoustic power is of critical importance for the disintegration of echo-contrast agents. In transcranial investigations, the effective acoustic power for bubble destruction severely decreases because of ultrasound attenuation at the temporal area of the skull. Under these circumstances, a high-emission power appears to be a prerequisite for generation of SAE signals. Most likely as a consequence of the individual thickness of the temporal bone, we could observe considerable interindividual differences with respect to the extension and intensity of tissue echo enhancement in healthy volunteers. Further reflecting acoustic power as a critical variable, it has to be considered that the thickness of the slice in which bubbles possibly could be altered is a function of the emission power as well.13 Therefore, the observed increase of SAE signal intensity with increasing emission power may result from recruitment of bubbles of different acoustic properties or widening of the active sound field. In this line, SAE signals have been shown to cluster at the level of the focal zone of the ultrasound beam and are more likely to be detected at peak negative sound pressure in the near field of the transducer.10 Finally, we suggest that the variability of echo-contrast preparations in terms of microbubble size and shell will have a considerable impact on the generation of SAE signals. Because SAE signals result primarily from disintegration of microbubbles, they will more likely occur with soft-shell agents. Moreover, the intensity of SAE signals will be increased if microbubbles are insonated with emission frequencies corresponding to their size-dependent resonance frequency.
SAE has a number of clinical implications on contrast-enhanced color Doppler applications.8 9 10 First, like harmonic imaging, SAE signals are contrast-specific even at the fundamental frequencies. This might be of considerable value in transcranial ultrasound, because attenuation due to the temporal area of the skull severely impairs the detection of higher harmonics.14 Second, the usual wall filtering does not allow the detection of flow velocities <1 to 5 cm/s.1 However, the majority of the blood vessels within the cerebral microcirculation are capillaries with blood flow velocities <1 mm/s. Therefore, SAE is a prerequisite for the detection of low-contrast flow beyond the cutoff frequency of the tissue-clutter wall filter by means of Doppler devices.
To date, only 1 human study tried to estimate cerebral tissue perfusion by use of transcranial ultrasound.4 In that study, the indicator dilution principle was applied to echo enhancement of harmonic B-mode registrations, demonstrating relative flow differences within the thalamus, the cortical gray matter, and the white matter. However, even in the harmonic mode, the evaluation of echo-enhanced B-mode images suffers from the presence of tissue signals before contrast injection. To truly evaluate the contrast effect, these signals have to be subtracted offline in a time-consuming and fault-prone procedure. By contrast, power Doppler imaging allows the online assessment of contrast enhancement, because no Doppler signals are present in low-flow areas at unenhanced baseline registrations. Moreover, Doppler techniques are known to have a markedly higher contrast sensitivity than B-mode registrations.15 In line with these considerations, it has been shown in animal studies that contrast-induced time-intensity curves obtained by power Doppler correlate better with scintigraphic measurements of cerebral blood flow than B-mode registrations.3 Therefore, we suggest that power Doppler is more suitable than B-mode imaging for detection and quantification of cerebral tissue perfusion.
However, valid ultrasonic methods for quantification of cerebral tissue perfusion have not yet been developed. The basis of perfusion measurements using the indicator dilution principle is the determination of contrast concentrations by the intensity of the contrast-enhanced ultrasound signal. However, the relation between contrast concentrations and the resulting ultrasound signal might be influenced by imaging conditions. As observed in this study, a major problem for quantitative analysis in transcranial investigations results from the heterogeneity of temporal bone structure and thickness, which may falsify absolute perfusion values. Therefore, algorithms for quantitative perfusion analysis will have to consider differences in individual imaging conditions as well as changes in the geometry of the ultrasound beam passing the temporal skull. Moreover, placement and size of the ROI analyzed will have a considerable impact on the quantitative analysis of tissue perfusion. Previous studies have shown that small ROIs may result in a large variability of perfusion measurements, whereas larger ROIs generate less noisy data, resulting in more accurate perfusion values.16 Conversely, larger ROIs might be affected by signals due to blooming arteries. Therefore, placement and size of representative tissue ROIs have to be considered carefully in the analysis of echo-enhanced images for tissue perfusion. In addition, time-intensity curves in different sectors of the scan plane must be compared with caution, because the intensity of ultrasound signals decreases with investigation depth and is subject to focal attenuation. As a consequence, cerebral perfusion measurements are currently limited to near-field structures, such as the temporal cortex.
Taken together, for ultrasonic measurement of cerebral tissue perfusion, it will be of critical importance to further optimize ultrasound systems for transcranial contrast investigations and to develop suitable algorithms for quantitative analysis of the images obtained. In this feasibility study, we could demonstrate that Doppler-based imaging modalities might also be valuable for further development, because they detect signals due to SAE, which represent a specific echo-contrast phenomenon useful for the detection of contrast agents at very low flow velocities. We suggest that these ultrasound techniques might become a promising tool for rapid, noninvasive, bedside investigations of cerebral tissue perfusion.
Received November 22, 1999; revision received April 18, 2000; accepted April 18, 2000.
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