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Ultrasound in Med. & Biol., Vol. -, No. -, pp. 1–9, 2009Copyright � 2009 World Federation for Ultrasound in Medicine & Biology
Printed in the USA. All rights reserved0301-5629/09/$–see front matter
asmedbio.2009.05.020
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doi:10.1016/j.ultr
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OF
d Original Contribution
ULTRAFAST IMAGING OF ULTRASOUND CONTRAST AGENTS
OLIVIER COUTURE,*y SOUAD BANNOUF,* GABRIEL MONTALDO,* JEAN-FRANCOIS AUBRY,*
MATHIAS FINK,* and MICKAEL TANTER*z
*Institut Langevin Ondes et Images (CNRS UMR 7587), Ecole Superieure de Physique et de Chimie Industrielle, Paris, France;yFondation Pierre-Gilles de Gennes, Paris, France; and z INSERM, Paris, France
(Received 31 December 2008, revised 14 May 2009, in final form 25 May 2009)
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TEDPROAbstract—The disappearance of ultrasound contrast agents after disruption can provide useful information ontheir environment. However, in vivo acoustical imaging of this transient phenomenon, which has a duration onthe order of milliseconds, requires high frame rates that are unattainable by conventional ultrasound scanners.In this article, ultrafast imaging is applied to microbubble tracking using a 128-element linear array and anelastography scanner. Contrast agents flowing in a wall-less tissue phantom are insonified with a high-intensitydisruption pulse followed by a series of plane waves emitted at a 5 kHz PRF. A collection of compounded imagesdepicting the evolution of microbubbles is obtained after the echoes are beamformed in silico. The backscatteringof the microbubbles appears to increase in the first image after disruption (4 ms) and decrease following an expo-nential decay in the next hundred milliseconds. This microbubble dynamic depends on the length and amplitude ofthe high-intensity pulse. Furthermore, confined microbubbles are found to differ significantly from their free-flow-ing counterparts in their dissolution curves. The high temporal resolution provided by ultrafast imaging could helpdistinguish targeted microbubbles during molecular imaging. (E-mail:[email protected]) � 2009 World Feder-ation for Ultrasound in Medicine & Biology.
Key Words: Microbubbles, Disruption, Plane waves, Dissolution, Ultrafast, Targeted contrast agents, Molecularimaging.
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INTRODUCTION
Micron-sized encapsulated bubbles are currently used as
blood-pool contrast agents for ultrasound imaging. Micro-
bubble detection relies on their nonlinear acoustic behav-
iour, which is highlighted by pulse sequences such as
harmonic filtering, pulse-inversion, amplitude modulation
or radial modulation (de Jong et al. 2000; Simpson et al.
1999; Eckersley et al. 2005; Masoy et al. 2008). Micro-
bubbles can also be disrupted by pulses at acoustic pres-
sures that do not affect tissue (Porter and Xie 1995).
Therefore, comparing frames before and after disruption
yields very high contrast-to-tissue ratios (CTR). The rate
at which new microbubbles repopulate a plane after
disruption can also provide information on tissue perfu-
sion. For instance, cardiac ischemia and angiogenic
tumours can be assessed with disruption-reperfusion
imaging (Wei et al. 1998; Wilson and Burns 2006).
High-speed optical observations of single microbub-
ble have shown that their disruption occurs when acoustic
ddress correspondence to: Olivier Couture, Ph.D., Laboratoireet Acoustique Ecole Superieure de Physique et Chime Industri-rue Vauquelin, Paris, 75005, France. E-mail: [email protected]
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pressures reach a threshold, which varies with frequency
and the strength of the protective shell (Bouakaz et al.
2005; Postema et al. 2005a, 2005b). The violent oscilla-
tions cause the membrane of the contrast agent to crack
and the gas to be released as a free bubble. The gas then
dissolves at a rate that depends on its diffusion rate (nor-
mally that of air or perfluorocarbon), on the bubble radius
and on the hydrostatic pressure of the environment (Boua-
kaz et al. 1999). The dissolution time is typically in the
range of 10 to 100 ms for commercial contrast agents
(Bouakaz et al. 2007). However, this process can be accel-
erated by the fragmentation of the microbubbles into
smaller particles (Chomas et al. 2001; Bevan et al. 2008).
In addition to optical observations, the dissolution of
microbubbles postdisruption has been studied with single-
element ultrasound transducers (Bevan et al. 2007; Chen
et al. 2002). These experiments were done by performing
pulse-echo along a single ultrasonic line at a high repeti-
tion rate (few kHz) in chambers containing low concentra-
tions of microbubbles. An enhancement in backscattering
was often observed just after disruption. This phenom-
enon was explained either by the decrease in membrane
damping after disruption or by a passage of the bubble
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through the resonant size during dissolution. In the
simplest cases, the signal decline of the microbubbles
could be fitted to an exponential decay.
Since the dissolution of microbubbles depends on
their environment, the evolution of their acoustic scat-
tering after disruption contains relevant physiologic infor-
mation. For example, Bouakaz et al. (1999) proposed to
measure arterial pressure noninvasively by exploiting
microbubble disruption. Moreover, we can postulate that
the disruption of targeted microbubbles or those confined
in microvessels might differ from free-flowing ones due to
asymmetrical tensions in their membrane (Caskey et al.
2007; Garbin et al. 2007; Zhao et al. 2005). Such differen-
tiation can become a useful tool for ultrasound molecular
imaging (Dayton and Rychak 2007). Unfortunately,
measuring the rapid process of the dissolution of moving
bubbles requires the ultrasonic imaging of an entire plane
at frame rates in the kHz range, which is unattainable with
current ultrasound scanners. Indeed, because B-mode
imaging is performed by successively focusing a beam
on each line, commercial scanners acquire at a maximum
frame rate of about 60 Hz. Using such a conventional
approach, dissolution imaging could be performed line
by line, but it would require as many disruption events
as the number of lines. Moreover, since disruption cannot
be limited to a single line, complete reperfusion of the
microbubbles through tissue would be required between
each acquisition. Pauses of several seconds would lead
to impractical imaging times and motion artefacts that
affect dissolution-based contrast. The development of an
ultrafast dissolution imaging sequence as presented in
this article solves this problem.
The concept of ultrafast imaging was introduced by
Shattuck and coworkers (1984). Although the so-called
Explososcan consisted in four parallel receive beamform-
ers, they envisioned extending this technique to perform
one echographic image per ultrasonic emission, allowing
kHz frame rates. Such an ultrafast system was introduced
by our laboratory in the context of transient elastography
(Sandrin et al. 2002). Ultrafast tracking of shear waves
induced by radiation force was developed to assess tissue
elasticity (Sarvazyan et al. 1998; Bercoff et al. 2002, 2004;
Tanter et al. 2002). Applications in breast cancer diag-
nosis (Tanter el al. 2008), musculoskeletal system elas-
ticity estimation (Deffieux et al. 2006) and liver fibrosis
staging (Muller et al. 2008) are promising.
The ultrafast frame rate is achieved by emitting plane
waves with an ultrasound array, collecting the echoes
from tissues and backpropagating them a posteriori insilico. Within the time a single line is acquired in conven-
tional imaging, a full image can be obtained with the ultra-
fast method receive parallel beamforming leading to
frame rates over 7000 Hz. However, since the ultrasound
beams are not focused in the transmit mode, signal-to-
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noise ratio (SNR) and contrast are reduced. Recently,
Montaldo et al. (2009 Q) demonstrated that SNR and
contrast can be regained by combining coherently back-
scattered echoes from successive compounded plane
wave insonifications at different angles. For most applica-
tions, less than seven compounded angles are sufficient,
reducing the frame rate to 1000 Hz, which would be
adequate to assess microbubbles evolution (Montaldo
et al. 2009). A plane wave imaging technique would
make the observation of the dissolution process of micro-
bubbles in vivo practical technically and allow the exploi-
tation of new contrast mechanisms.
In this study, we present a method for the ultrafast
B-mode imaging of the transient dissolution of microbub-
bles just after their disruption. Images of microbubbles
within a wall-less vessel phantom are analysed to assess
their rapid evolution for different disruption pulses.
Several bubble detection methods are applied to ultrafast
imaging, including a new representation of the spatial
distribution of their disruption dynamics. Finally, the
dissolution of microbubbles in solution is briefly compared
with that of bound agents.
TED MATERIAL AND METHODS
Device and ultrafast disruption imaging sequenceUltrafast imaging can be implemented on fully
programmable ultrasound scanners relying on sufficient
data transfer rates and memory capabilities. For this study,
an ultrafast two-dimensional (2-D) elastography scanner
(V1; Supersonic Imagine, Aix-En-Provence, France) with
2 GB Q/s data transfer rate was adapted to disrupt microbub-
bles. The scanner was equipped with an 8 MHz linear array
(Vermon, Tours, France). The first step of the technique
consisted in sending a series of plane waves (8 MHz, 2
cycles, 184 kPa) and accumulating the echoes in memory
(Fig. 1a). In this first imaging phase, 55 plane waves
were emitted with different pulse repetition frequencies
(2750 Hz or 5500 Hz). Eleven plane waves with –10
to 10 degrees tilts were used to form an image, so that
five compounded images were obtained after coherent
synthetic recombination (frame rate: 250 Hz or 500 Hz).
In the second phase, the disruption pulse was emitted,
which was a 5 MHz plane wave with varying pressures
(from 100 to 440 kPa peak negative pressure at 2.5 cm
depth) and pulse lengths (from 10 to 20,000 us). After
disruption, the imaging process was repeated, this time
with 65 B-mode images formed with 715 plane waves.
This ultrafast-dissolution (UD) pulse sequence lasted
140 ms, which was sufficient to follow the whole disrup-
tion process. After the echoes were recorded and saved
in the emission-reception board, they were transferred all
at once to the beamforming computer, allowing very
high-frame rates during short bursts of time.
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Fig. 1. Set-up for the ultrafast imaging of microbubbles within a vessel. (a) Pulse sequence for ultrafast acquisition ofdisruption. Five compounded images are acquired prior to disruption and 65 B-mode images are acquired afterward. (b)Microbubbles in solution: The chamber is either wall-less or reinforced with a Mylar membrane. The linear array is placedperpendicularly to the direction of the flow. (c) Bound microbubbles: The linear array is placed 2.5 cm away from the
surface of gelatin where microbubbles were deposited.
Ultrafast imaging of ultrasound contrast agents d O. COUTURE et al. 3
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UNCORRE
Data accumulated in the acquisition card were trans-
ferred to a computer for analysis by Matlab (Mathworks,
Natick, MA, USA). Raw RF images were obtained
by coherent recombination of the backscattered echoes
from successive plane waves illuminations to perform a
synthetic transmit beam and then beamforming the data
in the receive mode (Montaldo et al. 2009). The backscat-
tered intensity of the microbubbles was obtained by aver-
aging the power in the regions-of-interest, either in the
vessel or in the tissue phantom. Additionally, by subtract-
ing images obtained before disruption and 30 ms later,
conventional disruption imaging could be reproduced
with plane waves.
Ultrafast nonlinear pulse inversion and amplitudemodulation sequences
In parallel to dissolution imaging of microbubbles,
classic nonlinear pulse sequences such as pulse-inversion
and amplitude modulation were also executed in the
context of ultrafast imaging. For instance, rather than
applying the pulse-inversion scheme over each line, the
scheme was implemented with plane waves so that the
entire field of view was insonified with pulses of alter-
nating phase. Plane wave imaging was implemented using
unfocused pulses with opposite phases and different
steering angles separated by less than 0.4 ms. The frames
obtained from the synthetic beamforming of the com-
pounded echoes were summed to form plane-wave
FLA 5.0 DTD � UMB8464_proof �
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were also formed with plane waves emitted alternatively
by the odd elements, the even elements and the entire
array. Such a pulse-sequence is referred as plane-wave
amplitude modulation (PWAM).
Experimental set-upDissolution imaging was performed on microbubbles
in a solution and bound microbubbles. A wall-less vessel
phantom was prepared by creating a tunnel, 5 mm in diam-
eter, through a tissue phantom (Fig. 1b). For the dissolution
experiment (Figs. 2 to 5), a Mylar membrane (Rescue
Blanket 13 mm thick; Distrimed, France Q) was wrapped
on the outside of the vessel to increase its strength. Lipid-
shelled ultrasound contrast agents (Bracco Research,
Switzerland Q), were diluted down to a 1/10,000 v/v concen-
tration (about 120,000 microbubbles/mL) in degassed
water. The solution was then made Qto flow by gravity
through the wall-less vessel phantom. To isolate the effect
of microbubble dissolution from replenishment due to
motion, flow was stopped 15 s before the different imaging
sequences (plane-wave fundamental imaging, PWPI,
PWAM, plane-wave disruption, UD) were initiated.
Bound microbubble preparationThe bound microbubbles were prepared as described
by Couture et al. (2009). Briefly, a 15 mL droplet of diluted
avidinated microbubbles (2% v/v) was deposited on
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Fig. 2. Disruption of microbubbles in a wall-less vessel phantom imaged at 250 Hz. Time after disruption pulse shown. (a)The left square circumscribe the region where the tissue phantom signal is averaged. The right square delimitates the bubble
signal. The bar (e) is 1 cm long. The grey-scale level ranges from –50 dB to –10 dB.
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a gelatin surface (5% w/v) doped with biotin (1% w/v).
After waiting 15 min, the surface was washed three times
with PBS, leaving a disk of bound microbubbles 5 mm in
diameter. The gel was then immersed in degassed PBS
and placed 2.5 cm below the 8 MHz linear array. The
same imaging sequence performed on the microbubbles
in solution was executed on the bound microbubbles.
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ERESULTS
Figure 2 shows selected images of the dissolution of
microbubbles within a wall-less vessel. In this
UNCORR
Fig. 3. Dissolution of the microbubbles induced by disruptionpulses at different peak-pressure (fixed pulse length at 300 us).The backscattering (bsc) intensity is an average over a cross-section of the vessel. The time origin corresponds to the disrup-
tion pulse.
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TEDfundamental mode, the microbubble solution in the predis-
ruption stage appeared hypoechoic with respect to the
tissue phantom. The border of the vessel was clearly delin-
eated. In the first image after disruption (4 ms), most of the
vessel’s cross-section became brighter. In the centre of the
vessel, the average backscatter intensity increased by 10
dB. However, a small region at the top of the vessel
exhibited a decrease in microbubble signal by about
10 dB. In ultrafast images, the hyperechogenicity observed
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Fig. 4. Dissolution of the microbubbles induced by disruptionpulses with various pulse-length (fixed pressure at 240 kPa). Expo-nential fit (equation: I 5 I0e-Kt 1 IC) of the backscattering intensityafter disruption. The time-constant (K) is 0.177 60.006 ms21 for the 50 ms disruption pulse (R2 5 0.98) and0.192 6 0.001 ms21 for the 300 ms disruption pulse (R2 5 0.999).
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Fig. 5. Dissolution of the microbubbles for various depthsthanks to backscatter intensity averaging over time windows.
Disruption is induced by pulses at 237 kPa and 300 ms long.
Ultrafast imaging of ultrasound contrast agents d O. COUTURE et al. 5
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in the early phase decayed slowly to disappear almost
completely at 100 ms. At that point, the whole vessel
was less echoic than prior to disruption.
Figure 3 shows the evolution of the backscattering
intensity in the centre of the vessel for different disruption
pulses at various pressures. The values are normalized
with respect to the average of the first five predisruption
images. As a control, the change in tissue signal is also
shown, which shows a slight decrease in scattering inten-
sity at time 0 before returning gradually to original levels
in the next 50 ms. This overall drop in the signal that
follow the disruption pulse is due to the transient response
in the main power supply of the pulse generators. For
disruption pulses at low pressures, the backscattering
intensity of microbubbles is unchanged by the pulsing
scheme. When disruption pressures are higher, back-
scatter intensity increases but then rapidly decays, losing
20 dB in 30 ms before reaching a plateau. For disruption
pressures at 438 kPa, microbubble scattering did not
increase after disruption but decayed rapidly to even lower
levels. The speed of decay was found to be quite similar
for different disruption pressures. The pulse-length depen-
dence of the disruption process is shown in Figure 4. Short
plane pulses (10 ms long) did not affect the microbubbles.
However, a linear loss of backscattered intensity, down to
–1.5 dB, was observed over the whole imaging sequence.
Longer pulse (50 ms) disrupted the microbubbles leading
to a loss in signal of about 10 dB. When disruption pulses
longer than 100 ms were used, a peak enhancement in
intensity was observed just after disruption. This enhance-
ment lasted up to 25 ms, for maximum increase up to 8 dB.
Here, the speed of the decay was found to be strongly
dependent of the disruption pulse duration. The loss of
signal after disruption followed an exponential decay
curve (coefficient of correlation, R2 . 0.98). The time-
constant describing this exponential decay curve varied
slightly between microbubbles dissolving from a peak
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enhancement and those that collapsed from their predis-
ruption scattering level.
The spatial heterogeneity of the microbubble dissolu-
tion is shown in Figure 5. At the top of the vessel, the
scattering from microbubbles was increased slightly post-
disruption. The normalized signal then collapsed to –5dB
at the end of the dissolution process. However, 2 mm
under this region, the microbubbles were more affected.
Scattering increased by 10 dB before collapsing to a
minimum level of –13 dB. As the depth increased, the
effect of disruption became less obvious.
Figure 6 shows a series of examples for ultrafast
imaging exploiting varying techniques of contrast
enhancement. All these images were created with plane
wave emissions; where necessary pulse inversion or
amplitude modulation sequences were interlaced between
the compounding angles. The time between the acquisi-
tion of frames with opposite phase was less than 0.4 ms.
For fair comparison, the same color bar was used in all
images. When water was filling the tube and imaging
was performed in fundamental mode (Fig. 6a), the wall-
less vessel could be distinguished from surrounding tissue
phantom. However, some contaminating signal could be
observed at –14 dB. When microbubbles were added to
the solution, the border disappeared and the scattering
intensity for both regions became equivalent (Fig. 6b). Mi-
crobubbles were apparent when the sum of the echoes of
pulses with opposite phase was used to produce the image
(Fig. 6c, PWPI). This pulse-inversion imaging increased
contrast-to-tissue ratio to 15 dB. Ultrafast amplitude
modulation (Fig. 6d, PWAM) was also performed by alter-
natively emitting the pulses with the odd, even and all the
elements. Contrast-to-tissue ratio was 21 dB and tissue
phantom appeared more uniform when compared to
pulse-inversion.
Disruption of the microbubbles increased CTR by
30 dB. Figure 6e shows the subtraction of the scattering
intensity before disruption and at the end of dissolution
as is common in disruption-reperfusion imaging. Thanks
to the ultrafast mode, a new representation of the dissolu-
tion of microbubbles was introduced. The loss of signal
during the first 4 ms after the disruption pulse is shown
in Figure 6f. The slope of the decay in intensity is measured
at every point and the positive and negative values are
normalized and colour-coded independently. Green repre-
sents the region where the scattering increased after the
disruption pulse and red represents the region of rapid
decrease. The process of dissolution varied with respect
to position within the wall-less vessel phantom. The micro-
bubbles on top of the vessel did not demonstrate a postdis-
ruption peak in enhancement as in the centre of the vessel.
Dissolution imaging was also attempted on micro-
bubbles bound on a gelatin surface. Figure 7 shows the
evolution of the reflection of the dot of microbubbles
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Fig. 6. Ultrafast imaging with various pulse sequences of a wall-less vessel filled with microbubbles. (a) Plane wavesfundamental, no bubbles. (b) Fundamental. (c) Plane-waves pulse-inversion. (d) Plane waves amplitude-modulation. (e)Slow disruption. (f) Contrast based on the rate of change of the scattering within the first 4 ms after the disruption pulse.
The scale bar is 1 cm long.
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100 ms postdisruption pulse. Before disruption, the micro-
bubbles appeared as a 3 mm-wide bright spot on the
surface of gelatin. Postdisruption, the scattered intensity
dropped and remained at such level until the end of the
imaging time. The contrast from the microbubbles did
not completely disappear after disruption. This
UNCORREC
Fig. 7. Disruption of a microbubble dot on a surface of gelatin ibar (e) is 3 m
FLA 5.0 DTD � UMB8464_proof �
TEDexperiment was repeated on six dots of microbubbles
and the evolution of the backscattered intensity of bound
microbubbles is compared with microbubbles in solution
in Figure 8. For the same pulse-sequence, bound micro-
bubbles did not show a postdisruption enhancement
peak but instead a quick drop to –15 dB.
maged at 250 Hz. Time after disruption pulse shown. Them long.
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Fig. 8. Difference in the dissolution of bound and free-flowingmicrobubbles. The scattering of the bound microbubbles is aver-aged over the region of the dot on the surface of the gelatine(number of repetitions, n 5 6), while the scattering of thebubbles in solution is averaged over a window inside the vessel
(n 5 6).
Ultrafast imaging of ultrasound contrast agents d O. COUTURE et al. 7
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DISCUSSION
The dissolution of microbubbles postdisruption has
already been studied with single-element ultrasound trans-
ducers (Bevan et al. 2007; Chen et al. 2002). Since the
dissolution of microbubbles depends on their environ-
ment, the rapid evolution of their scattering properties
contains relevant physiologic information. Nevertheless,
in clinical situations, conventional echo has insufficient
frame rate to track dissolving and moving microbubbles.
In this study, ultrafast B-mode with 500 Hz frame
rate has allowed us to image the rapid dissolution of ultra-
sound contrast agent. In ultrafast imaging, there is a trade-
off between signal-to-noise ratio and frame rate. Since
ultrasound beams are not focused, lower pressures are
attained at each observation point, leading to a lower
signal. Pulse pressure is also reduced gradually with depth
by attenuation. However, SNR is regained by increasing
the number of plane waves emitted at different angles.
The missing transmit focusing is replaced by a coherent
recombination of the successive backscattered echoes. In
such a set-up, microbubbles are insonified several times
with lower amplitude pulses, spatially spread over the
entire imaged area, rather than only one single time with
higher amplitude at focus. Since the new generation of
microbubbles is more sensitive (de Jong et al. 2007),
they appear to remain nonlinear even when insonified
with plane waves.
Plane wave compounding is exploited for the series
of images shown in Figure 2. Despite the very high frame
rate (250 Hz), the borders of the vessel are still clearly
defined. The solution of microbubbles is also easily distin-
guished from surrounding tissue. Therefore, movies
showing every step of the microbubbles dissolution can
give a qualitative appreciation of very these high speed
FLA 5.0 DTD � UMB8464_proof �
TEDPROOF
processes. For instance, a peak in enhancement after
disruption is observable. Such an effect was observed in
single-element experiments, but is difficult to exploit on
regular scanners. Effectively, at a 30 Hz frame rate, only
predisruption and steady-state (after 30 ms) acoustic
behaviour can be observed. A difference in microbubble
dissolution is also seen over the cross-section of the
vessel, showing that rapid B-mode imaging might provide
new information on the geometry and the local environ-
ment of bubble clouds.
Movies of dissolution of ultrasound contrast agents
can also yield quantitative assessment on the evolution
of a population of microbubbles after disruption. In
Figures 3 and 4, the agents’ behaviour is modified by
changes in the disruption pulse. For instance, in Figure 3,
low amplitude disruption pulses are seen to have little
effect on the microbubbles. Very high amplitude pulses
induce a fast exponential decay of the backscattered inten-
sity. For medium amplitudes, a peak enhancement is
observed before decay. Such behaviour seems to confirm
that, for emission amplitudes higher than the disruption
threshold, microbubble gas is freed from its shell and
left to dissolve. This also confirms, on 2D images, results
that were obtained in single-transducer experiments where
the microbubbles released from their shell were capable of
oscillating more violently, yielding higher scattering frac-
tions (Bevan 2007). However, in this study, such an effect
is difficult to distinguish from the transition of the dissolv-
ing microbubbles through their resonant size.
The absence of peak enhancement at higher pressure
could mean that the microbubbles are fragmented in
smaller gas pockets, leading to faster dissolution and
lower scattering (Chomas et al. 2001; Bevan et al.
2008). Because the disruption threshold and the fragmen-
tation threshold are dependent on both the pulse-length
and the pressure, peak enhancement is only observed
over a limited range of these parameters.
In the presence of peak enhancement, the decrease in
the scattering intensity of microbubbles fits well with an
exponential decay. Again, such a result corresponds to
observations with single-transducers (Bevan et al. 2008).
The scattering half-life seen on the 2D images is around
4 ms, which demonstrates the importance of ultrafast
imaging to resolve the dissolution in the time domain.
Accepting lower SNR, the frame rate of ultrafast could
be increased up to 5000 Hz by reducing the number of
compounding angles.
In this study, fairly long disruption pulses are used
(300 us) to optimize the postdisruption peak enhance-
ment. Short disruption pulses are not sufficient to disrupt
the bubbles because only low pressures are attained with
plane waves (438 kPa). It is easier to increase peak-nega-
tive pressure with focused beams. However, it would
remove one of the advantages of plane wave imaging,
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UNCORRE
which is that tissue is insonified uniformly and that evolu-
tion is observed simultaneously over the whole plane.
For the microbubbles to be activated and show post-
disruption peak enhancement, pulses have to be longer
than 100 ms. As the disruption pulse gets longer, the
peak enhancement is increased until attaining a maximum
at 500 ms. It is interesting to note that a slight disruption of
the microbubbles was induced by the imaging pulses
themselves, as shown by their linear decay for the short
pulses.
An important element in 2D dissolution imaging is
the dependence on position. As seen in Figure 2 and
Figure 5, bubble signal at the top of the vessel collapsed
much faster than the other microbubbles. This is consis-
tent with the effect of acoustic pressure which pushes
the microbubbles away from the transducer. A fraction
of the increase in scattering of the centre of the vessel is
probably due to the microbubbles displaced from the
top. However, for a range of pulse pressures and lengths,
postdisruption peak enhancement is present everywhere,
showing that the effect is mainly intrinsic to the microbub-
bles. In Figure 5, peak enhancement is maximal at 2 mm
from the top of the vessel. Deeper, peak enhancement is
reduced and a lower proportion of microbubbles are ulti-
mately destroyed at the end of dissolution. This is consis-
tent with attenuation, which reduces the amplitude of the
disruption signal at higher depth.
The spatial heterogeneity of microbubble dissolution
can be exploited for contrast imaging. Figure 6f highlights
the variation between microbubbles near a boundary and
those in the centre of the vessel. Such dipole behaviour
shows the effect of acoustic pressure on the microbubbles.
Since imaging is done very rapidly, it would be minimally
affected by arterial flow. Such geometric dependence
could be exploited to assess the efficacy of microbubble
targeting aided by acoustic pressure (Dayton et al. 1999).
The other images in Figure 6 show the results of
more classic pulse sequences but performed with plane
waves. Ultrafast allows addition (PWPI) or subtraction
(PWAM) of entire images taken with little time difference.
Such frame rates can reduce the effect of motion or avoid
speckle variations between lines. Amplitude modulation,
a three-pulse method, seems to provide a better CTR
than pulse-inversion, a two-pulse method. Since ultrafast
beamforming is performed by software, the displayed
frame rate is dependent on the processor speed.
The dissolution of microbubbles is dependent on their
position within the vessel. It has been shown to be affected
by the surrounding hydrostatic pressure of its environment
(Bouakaz et al. 1999). Bound microbubbles, such as those
targeting diseased cells, should also be affected by their
anisotropic medium. As shown by Figures 7 and 8, micro-
bubbles bound to a gelatin surface dissolve much faster
than those in solution. The fact that their membrane is
FLA 5.0 DTD � UMB8464_proof �
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attached to a surface might induce fragmentation more
easily, yielding smaller bubbles. However, this observa-
tion needs to be confirmed with high-speed optical
cameras. Independently of the process that causes such
a contrast, the difference in dissolution between bound
and free-flowing agents could become very relevant for
ultrasound molecular imaging. Currently, free-flowing
microbubbles have to be cleared from the imaging plane
before molecularly-specific microbubbles are imaged,
which takes several minutes (Christiansen and Lindner
2005). Dissolution imaging of the microbubbles might
alleviate such a need for clearance.
The development of ultrafast imaging allows the
transfer of laboratory knowledge to in vivo imaging. For
instance, high frame-rate monitoring of drug delivery
with gaseous or vaporizable agents might give additional
information on its effectiveness. Doppler imaging of
microbubbles could also be performed with a much higher
temporal resolution. Finally, noninvasive assessment of
the hydrostatic pressure might be possible over a whole
imaging plane.
TEDCONCLUSION
This study demonstrated that ultrafast ultrasonic
imaging can provide new insights on the dynamic of
microbubbles. Transient phenomena such as microbubble
dissolution are invisible to conventional ultrasound scan-
ners but were exposed by plane-waves emitted at a kHz
rate. This method highlighted the peak in backscattering
intensity following the disruption pulse. Such enhance-
ment can increase the contrast from microbubbles in
disruption-reperfusion imaging. Moreover, tracking the
dissolution helped distinguish microbubbles near a wall
or bound to a surface from the free-flowing agents. Such
high temporal resolution could lead to new contrast
imaging modalities in order to highlight, for example, the
attachment of microbubbles to diseased cells or changes
in hydrostatic pressure.
Acknowledgements—The authors thank Dr. M. Arditi and BraccoResearch (Switzerland) for providing the contrast agents. This workwas supported by the Fondation Pierre-Gilles de Gennes.
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