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7/30/2019 (Barannik 2002)Doppler Ultrasound Detection of Shear Waves Remotely Induced in Tissue Phantoms and Tissue in
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Doppler ultrasound detection of shear waves remotely inducedin tissue phantoms and tissue in vitro
E.A. Barannik a,*, A. Girnyk a, V. Tovstiak a, A.I. Marusenko b, S.Y. Emelianov c,A.P. Sarvazyan d
a PhysicalTechnical Department, Kharkiv National University, 4 Svobody Sq., Kharkiv 61077, Ukraineb JSC Research Development Institute of Radio Engineering Measurements, 271 Ac. Pavlov Av., Kharkiv 61054, Ukraine
c Biomedical Engineering Department, University of Michigan, 2350 Hayward Street, Ann Arbor, MI 48109, USAd Artann Laboratories, 1 Riva Avenue, North Brunswick, NJ 08902, USA
Abstract
In shear wave elasticity imaging (SWEI), mechanical excitation within the tissue is remotely generated using radiation force of
focused ultrasound. The induced shear strain is subsequently detected to estimate visco-elastic properties of tissue and thus aid
diagnostics. In this paper, the mechanical response of tissue to radiation force was detected using a modified ultrasound Doppler
technique. The experiments were performed on tissue mimicking and tissue containing phantoms using a commercial diagnostic
scanner. This scanner was modified to control both the pushing and probing beams. The pushing beam was fired repetitively along a
single direction while interlaced probing beams swept the surrounding region of interest to detect the induced motion.
The detectability of inhomogeneous inclusions using ultrasonic Doppler SWEI method has been demonstrated in this study. The
displacement fields measured in elastic phantoms clearly reveal the oscillatory nature of the mechanical relaxation processes in
response to impulsive load due to the boundary effects. This relaxation dynamics was also present in cooked muscle tissue, but was
not detected in more viscous and less elastic phantom and raw muscles. Presence of a local heterogeneity in the vicinity of the focal
region of the pushing beam results in generation of a standing wave field pattern which is manifested in the oscillatory response ofthe excited region of the tissue. There has been made an assumption that dynamic characteristics of the relaxation process may be
used for visualization of inhomogeneities. 2002 Published by Elsevier Science B.V.
Keywords: Shear wave; Elasticity; Doppler; Phantom; Tissue
1. Introduction
Several imaging modalities can provide information
about elastic properties of tissue. These methods include
shear wave elasticity imaging or SWEI [15], acoustic
remote palpation [69], sonoelasticity imaging [1013]
and elastography [1416]. These methods are based on
formation of elastic deformations inside the tissue under
study with the help of an exterior power source that can
be of various physical nature. In particular, in sono-
elasticity imaging a vibration power source is used, and
in elastography the elasticity is evaluated from internal
strain in tissues subjected to a given external load. All
these methods suggest a considerable clinical potential
and may add a new quality to the conventional ultra-
sonic imaging.
In SWEI as well as in acoustic remote palpation ini-
tial shear displacements are remotely generated using
the acoustic radiation force. Induced shear strains can
be detected then by the ultrasound Doppler technique,
which is commonly used for color blood flow mapping,
or by the speckle-tracking method. The SWEI method
is based on the analysis of the mechanical response
of tissue to the radiation force and space distribution of
maximum tissue displacement caused by propagation of
induced shear waves. The main objective of this paper is
to investigate the relaxation dynamics of the local shear
strain in the presence of an inhomogeneous inclusion,
and to study a possibility to visualize tissue inhomoge-
neity in phantoms.
Ultrasonics 40 (2002) 849852
www.elsevier.com/locate/ultras
* Corresponding author. Tel.: +380-572-353733; fax: +380-572-
353977.
E-mail address: [email protected] (E.A. Baran-
nik).
0041-624X/02/$ - see front matter 2002 Published by Elsevier Science B.V.
PII: S 0 0 4 1 - 6 2 4 X ( 0 2 ) 0 0 2 4 3 - 3
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2. Methods
In present experiments all of the ultrasonic pushing
(i.e., motion inducing) beams were fired in a single di-
rection defined by the axis of the pushing transducer.
Probing (i.e., motion sensing) beams irradiated by a
single crystal ultrasound transducer swept the sur-rounding region of interest to detect the induced motion.
The experiments were performed with a commercial
diagnostic scanner ULTIMA developed in Kharkiv
(Radmir, Ukraine). The scanner has been modified to
allow a user to control the characteristics of the pushing
and probing beams and other experimental conditions.
In particular, a pre-defined number of probing pulses
followed every pushing pulse because the pulse repeti-
tion frequencies of pushing (3.67 MHz) and probing
(14.59 MHz) beams were multiple and were defined
by the scanner clock rate. Experiments were performed
with the lowest possible intensity of pushing ultrasonic
beams, which is important for eventual medical appli-
cations. Radiation force was generated by a focused
transducer of 8 cm aperture, 7 cm focal length and 4 mm
focal area diameter (6 dB). The carrier frequency was 1
MHz with intensity ISPPA about 145 W/cm2 and dura-
tion of pushing pulses equal to 2.18 ms. Parameters of
probing pulses are common for color Doppler mapping.
The probing transducer operating at 3.5 MHz was in-
stalled in the center of the pushing transducer (Fig. 1).
A technique to reduce the interference between
pushing and probing beams was utilized. This technique
includes coherent accumulation of Doppler signals ob-
tained after each of the pushing beams and non-coher-ent accumulation of output data. The mixture of these
two methods and developed procedure of Doppler sig-
nal processing based on the autocorrelation method al-
lowed estimation of the displacement with accuracy
about 10%. The Table 1 presents the parameters of two
gel-based tissue phantomsviscous phantom (due to
glycerol additive) and elastic phantom. As a result, in
the viscous phantom shear wave attenuation is greater,
while the elastic phantom has a greater ultrasound
absorption. Indeed, absorption of shear waves in the
medium is related only to dynamic viscosity, while
absorption of compressional waves depends also on
bulk viscosity, heat conductivity and bulk compress-
ibility.
3. Results and conclusion
The maximum displacements are detected in the focal
region of pushing beams where the maximum radiation
pressure occurs. The obtained 2-D graphs, which por-
tray the space distribution of tissue displacement, are
similar for the viscous and elastic phantoms. The dis-
placement magnitude registered in the less elastic but vis-
cous phantom is lower than that in the elastic onethis
is due to the small duration of pushing pulses. Note that
the value of shear strain for the level of intensity used isin agreement with the theoretical assessments [1] and
experimental results [6,7]. As expected, the maximum
displacement for probing points with the non-zero radial
coordinate r is registered with a greater time delay for
the viscous phantom that has lower shear waves veloc-
ity. The time difference of delays reflects apparently the
difference of shear elasticity moduli of the phantoms.
Fig. 1. Assembled unit of pushing and probing transducers.
Table 1
Gel-based tissue phantoms
Parameters Viscous phantom Elastic phantom
Water (l) 1.1 2.5
Gelatin (g) 130 240
Glycerol (l) 1.26
Shear wave velocity (m/s) 2.3 3.6
Speed of sound (m/s) 1810 1560Ultrasound absorption
(dB/MHz cm)
0.36 0.51
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Typical relaxation processes in the elastic phantom at
two positions with different radial coordinate in the fo-
cal plane are shown in Fig. 2. The mechanical relaxation
processes in response to impulsive load exhibit a fuzzysecond maximum indicating weak oscillation. One of
possible causes of such behavior is a registration of waves
reflected from the boundary between the phantom and
water where phantom and transducer assembly are po-
sitioned during the experiment. Boundary effects in the
elastic phantom cannot be neglected due to relatively
small absorption of shear waves with a great wave
length, and, therefore, the induced shear wave distur-
bance cannot be described by a homogeneous model.
The viscous phantom with a local elastic inclusion
was used to study the impact of inhomogeneity on the
relaxation of the induced shear wave disturbance. The
approximately 1 cm3 inclusion was visible on the B-
image (Fig. 3) due to the small additive of aluminum
oxide powder. The obtained 2-D map of the displace-
ment in this inhomogeneous phantom does not permit
direct identification of the inclusion because of the dis-
tortion due to the space distribution of radiation pres-
sure. To eliminate the difference in displacement caused
by radiation pressure distribution within the focal area,
the original 2-D image was normalized to the space dis-
tribution of displacement in homogeneous phantoms.
Normalization procedure allows us to identify the in-
clusion with certainty on the 2-D image using the datareflecting the difference in displacement amplitudes of
the viscous and elastic phantom. Just as the B-image in
Fig. 3, the SWEI image of the inclusion in Fig. 4 is lo-
cated asymmetrically relative to the axis of pushing
beams.
The typical relaxation dynamics for the probing point
near the inclusion, which is marked on the B-image, is
shown in Fig. 5. This dynamics is contrasted with the
one obtained from the cooked beef muscle tissue at the
point remote from the focal area of the pushing beam.
The used sample of muscle tissue was cut out along the
fibers and boiled for 1 h. Curves of relaxation in the
Fig. 5. Displacement through time from elastic phantom at the point
marked on the B-image (1) and typical displacement through time
from the boiled muscle tissue at point distant from the pushing beam
axis.
Fig. 2. Relaxation dynamics in the elastic phantom: (1) r 0 mm,
Dmax 17:6 lm; (2) r 11 mm, Dmax 3:9 lm (tpush 2:18 ms).
Fig. 3. Ultrasonic B-mode image of inhomogeneous inclusion.
Fig. 4. Normalized 2-D image of displacement in phantom with in-
clusion.
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phantom obtained for other probing points away from
the inclusion are also of oscillatory nature, in some cases
are rather complicated. Such behavior may be explained
if we take into account that for small values of inho-
mogeneity (approximately several wave lengths) the su-
perposition of direct waves and shear waves reflected
from the inhomogeneity boundary can cause a compli-cated oscillatory motion of both the boundary and points
close to it. Using the cooked muscle tissue we tried to
imitate the muscle tonus, i.e. to increase the shear elas-
ticity modulus and to decrease viscosity. The presented
relaxation curve was obtained for the fiber orientation,
which was transverse relative to the axis of pushing
beams. Damped oscillation is rather evident in this figure
and may be related both to boundary effects and to the
presence of inhomogeneities.
In conclusion, the ultrasonic Doppler SWEI method
for remote palpation of tissue has been experimentally
examined, and mechanical response of gel-based tissue
phantoms has been studied. It has been shown that the
difference in the visco-elastic properties of gel-based
tissue phantoms is the cause for observed difference of
displacement magnitudes. There has been experimental
demonstration of the principal detectability of inho-
mogeneous inclusions with the aid of ultrasonic Dopp-
ler SWEI method. The results from examined elastic
phantoms clearly demonstrate the oscillatory nature of
the mechanical relaxation processes in response to im-
pulsive load due to the boundary effects. This relaxation
dynamics was also present in some tissues such as boiled
muscle tissue, but was not detected in the more viscous
and less elastic tissue phantom and raw muscles. Pres-ence of a local heterogeneity in the vicinity of the focal
region of the pushing beam results in generation of a
standing wave field pattern which is manifested in the
oscillatory response of the excited region of the tissue.
Further research will be directed towards to better un-
derstanding of dynamic processes associated with SWEI
and their use for visualization of inhomogeneities.
Acknowledgements
This work is supported by the Science and Technol-ogy Center in Ukraine under grant no. 865.
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