Thermoacoustic and photoacoustic sensing of
temperature
Manojit Pramanik
Lihong V. Wang
Washington University in St. Louis
Department of Biomedical Engineering
Optical Imaging Laboratory
Campus Box 1097
One Brookings Drive
St. Louis, Missouri 63130
Abstract.
We present a novel temperature-sensing technique using
thermoacoustic and photoacoustic measurements. This noninvasive
method has been demonstrated using a tissue phantom to have high
temporal resolution and temperature sensitivity. Because both photoa-
coustic and thermoacoustic signal amplitudes depend on the tempera-
ture of the source object, the signal amplitudes can be used to monitor
the temperature. A temperature sensitivity of
0.15 ° C
was obtained at
a temporal resolution as short as
2s
, taking the average of 20 signals.
The deep-tissue imaging capability of this technique can potentially
lead us to
in vivo
temperature monitoring in thermal or cryogenic
applications.
©
2009
Society
of
Photo-Optical
Instrumentation
Engineers.
DOI: 10.1117/1.3247155
Keywords: thermoacoustics; photoacoustics; temperature sensing; tissue phantom;
tissue temperature
.
Paper 09158R received Apr. 23, 2009; revised manuscript received Jul. 7, 2009;
accepted for publication Aug. 6, 2009; published online Oct. 12, 2009.
1 Introduction
During thermotherapy or cryotherapy, it is necessary to moni-
tor the temperature distribution in the tissues for the safe
deposition of heat energy in the surrounding healthy tissue
and efficient destruction of tumor and abnormal cells. To this
end, real-time temperature monitoring with high spatial reso-
lution
1mm
and high temperature sensitivity
1°C
or
better
is needed.
1
The most accurate temperature monitoring
is by directly measuring the temperature with a thermocouple
or thermistor. However, it is invasive, hence, generally not
preferred and often not feasible. Several noninvasive tempera-
ture monitoring methods have been developed. Infrared ther-
mography is a real-time method with
0.1°C
accuracy but is
limited only to superficial temperature.
2
Ultrasound can be
applied for real-time temperature measurements with good
spatial resolution and high penetration depth, but the tempera-
ture sensitivity is low.
3
–
5
Magnetic resonance imaging has the
advantages of high resolution and sensitivity, but it is expen-
sive, bulky, and slow.
6
,
7
Therefore, an accurate, noninvasive,
real-time temperature measurement method needs to be devel-
oped.
The thermoacoustic
TA
and photoacoustic
PA
effects
are based on the generation of pressure waves on absorption
of microwave and light energy, respectively. A short micro-
wave and laser pulse is usually used to irradiate the tissue. If
thermal confinement and stress confinement conditions are
met, then pressure waves are generated efficiently. The pres-
sure rise of the generated acoustic wave is proportional to a
dimensionless parameter called the Grueneisen parameter, and
to the local fluence. The local fluence depends on the tissue
parameters, such as the absorption coefficient, scattering co-
efficient, and anisotropy factor, and does not change signifi-
cantly with temperature. However, the Grueneisen parameter,
which depends on the isothermal compressibility, the thermal
coefficient of volume expansion, the mass density, and the
specific heat capacity at constant volume of the tissue,
changes significantly with temperature. Thus, the generated
TA/PA signal amplitude changes with temperature. Here, we
show that by monitoring the change in the TA/PA signal am-
plitude, we were able to monitor the change in temperature of
the object.
The TA/PA technique has been widely applied in biomedi-
cal imaging applications, such as breast cancer imaging, brain
structural and functional imaging, blood-oxygenation and he-
moglobin monitoring, tumor angiogenesis, and, recently, for
molecular imaging.
8
–
22
Lately, PA sensing has also been used
to monitor tissue temperature.
1
,
23
–
27
However, TA sensing of
temperature has never been studied. These two techniques do
not interact and can be used independently. Depending on the
need, one has to choose which technique to use. The main
difference between these two techniques is the contrast
mechanism. For example, water and ion concentrations are
the main sources of contrast in TA measurements, whereas
blood and melanin are the main sources of contrast in PA
measurements. Therefore, if we need to monitor the tempera-
ture of a blood vessel, then the PA technique will be more
useful; whereas if we need to monitor the temperature of
muscles, then the TA technique will be preferred. TA/PA tem-
perature sensing is a noninvasive, real-time method. The
TA/PA technique has the ability to image deeply
up to
5cm
with high spatial resolution
scalable: millimeters to microns
.
We can monitor temperature with high temporal resolution
and high temperature sensitivity
scalable with temporal res-
olution:
0.015
and
0.15°C
at
200 s
2000 measurements
averaged
and
2s
20 measurements averaged
resolutions,
1083-3668/2009/14
5
/054024/7/$25.00 © 2009 SPIE
Address all correspondence to: Lihong Wang, Washington University in St.
Louis, Department of Biomedical Engineering, Optical Imaging Laboratory,
Campus Box 1097, One Brookings Drive, St. Louis, MO 63130. Tel:
314
935-
6152; Fax:
314
935-7448; E-mail: lhwang@biomed.wustl.edu
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respectively
. Because microwaves penetrate more deeply
into tissue than light, we can potentially monitor temperature
in vivo
for locations deep inside the body.
2 Theoretical Background
If the microwave/laser excitation is much shorter than both
the thermal diffusion
i.e., the excitation is in thermal confine-
ment
and the pressure propagation
i.e., the excitation is in
stress confinement
in a heated region, the fractional volume
expansion
dV
/
V
can be expressed as
dV
V
=−
p
+
T
,
where
is the isothermal compressibility,
is the thermal
coefficient of volume expansion, and
p
and
T
denote changes
in pressure
measured in Pascal
, and temperature
in Kelvin
,
respectively.
When the fractional change in volume is negligible under
rapid heating, the local pressure rise immediately after the
microwave/laser excitation pulse can be derived as
p
0
=
T
=
C
v
th
A
e
=
th
A
e
,
where
denotes mass density,
C
v
denotes specific heat capac-
ity at constant volume,
A
e
is the specific optical/microwave
absorption, and
th
, is the percentage of absorbed energy that
is converted to heat.
We define the Grueneisen parameter
dimensionless
as
=
C
v
=
s
2
C
p
=
f
T
,
where
s
is the velocity of sound,
C
p
denotes the specific heat
capacity at constant pressure, and
T
is the temperature of the
object.
Therefore,
p
0
=
f
T
th
A
e
.
Thus, in practice, the measured pressure signal generated due
to the microwave/laser excitation can be used to monitor the
temperature. Note that, here we always refer to the base tem-
perature of the object, not the change in temperature due to
the microwave/laser heating. The instantaneous temperature
increase in the object due to the microwave/laser pulse heat-
ing is on the order of milliKelvin and its effect on the Grue-
neisen parameter is negligible. The base temperature of the
object is a slowly varying parameter compared to the transient
temperature increase induced by a microwave/laser pulse.
3 System Description
Figure
1
a
shows the combined TA and PA system used for
sensing temperature. A similar concept of integrating light
with microwaves was used earlier for a breast cancer imaging
system.
21
The plastic chamber containing the sample holder
was filled with mineral oil, a nonmicrowave-absorbing mate-
rial. Moreover, because mineral oil is visibly transparent, light
absorption is negligible. Mineral oil also acts as a coupling
medium for sound propagation, and thus, mineral oil was an
ideal choice as a background medium for all our experiments.
The microwave/laser assembly was placed under the sample
holder chamber, from where it illuminated the sample by ei-
ther microwave or laser, alternately, for TA/PA sensing. The
microwave was delivered using a horn antenna, whereas the
laser was delivered by a free-space optical assembly. The
prism and ground glass of the laser illumination system were
incorporated inside the microwave horn antenna. As a result,
it was not necessary to mechanically switch between the mi-
crowave and laser sources: the switching was electronic and
instantaneous. Light was delivered through a drilled
10-mm
-diam hole in one of the narrow walls of the horn
antenna. The laser beam was broadened by a concave lens
placed outside the hole in the horn antenna, then reflected by
the prism and homogenized by the ground glass. This type of
beam expansion scheme has been used extensively
before.
13
,
15
,
28
The insertion of the optical devices inside the
microwave horn antenna had no significant effect on the mi-
crowave delivery.
21
3.1
Microwave Source
A
3.0-GHz
microwave source produced pulses of
0.5-
s
width, with a repetition rate of up to
100 Hz
. An air-filled
pyramidal horn-type antenna
WR284 horn antenna W/EEV
flange, HNL Inc.
with a rectangular opening of
7.3
10.7 cm
2
was used to deliver the microwaves to the
sample. The specific absorption rate of the tissue was within
the IEEE safety standards.
29
The horn antenna was designed to transport the transverse
electric
TE
TE
10
mode of electromagnetic
EM
waves, so
the electric field was parallel
or nearly parallel for a horn
to
the surface of either narrow side
y
-polarized in our system
and approached zero near the inner surface of either narrow
Fig. 1
a
Schematic of the experimental setup. MO: mineral oil bath,
SH: sample holder vial, UST: ultrasonic transducer, GG: ground glass,
PR: prism, AN: horn antenna, CL: concave lens, TH: thermistor,
b
TA
signals from a LDPE vial
i.d. 12 mm, volume 5 cc
filled with mineral
oil
MO
and DI water
DI
.
c
PA signals from LDPE vial filled with
ink solution
a
=30 cm
−1
and mineral oil at 532 nm wavelength.
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wall. By contrast, the electric field was nonzero near the sur-
face of either wide wall. Therefore, opening the light delivery
hole on the narrower side of the horn antenna
or wave guide
minimized the power leakage.
3.2
Laser Source
The light source was a Q-switched Nd:YAG laser with a rep-
etition rate of
10 Hz
, providing
6.5-ns
-wide laser pulses. The
laser system could provide
400-mJ
maximal output energy at
532-nm
wavelength. The incident laser fluence on the sample
surface was controlled to
20 mJ
/
cm
2
, conforming to the
American National Standards Institute safety standards.
30
3.3
Detection of Ultrasound
For detecting the ultrasound signal, we used a
13-mm
-diam
active-area nonfocused transducer operating at
2.25 MHz
central frequency
ISS
2.25
0.5
COM, Krautkramer
. The
signal was first amplified by a low-noise pulse amplifier
5072PR, OlympusNDT
, then filtered electronically, and fi-
nally recorded using a digital oscilloscope
TDS640A, Tek-
tronix
. When microwaves were the illumination source, a
delay/pulse generator
SRS, DG535
triggered the microwave
pulses and synchronized the oscilloscope. By contrast, during
laser illumination, the sync out from the laser system synchro-
nized the laser pulses and the data acquisition.
3.4
Temperature Sensor
A precision thermistor for laboratory applications
sealed
PVC tip, resistance of
2252
at
25°C
and accuracy of
0.1°C
; ON-401-PP, Omega
was used to measure the tem-
perature of the sample. The tip of the thermistor was inserted
inside the sample to get an accurate measurement of the tem-
perature. A voltage divider circuit with a dc source
Vizatek,
MPS-6003L-1
converted the resistance change of the ther-
mistor into voltage, which was recorded using the aforemen-
tioned oscilloscope. Because the current through the ther-
mistor was very small, the self-heating was negligible.
3.5
Sample Holder Vial
Low density polyethylene
LDPE
vials with
12-mm
i.d.
and
5-cc
volume were the sample holders for the entire study.
LDPE has an acoustic impedance
Z
1
=1.79
and acoustic
loss=2.5 dB
/
cm
at
5 MHz
. The background material was
mineral oil, which has an impedance
Z
2
=1.19
. Intensity re-
flectivity
assuming normal incidence
=
Z
2
−
Z
1
2
/
Z
2
+
Z
1
2
=0.04
4%
. Intensity transmittivity
assuming
normal incidence
=4
Z
2
Z
1
/
Z
2
+
Z
1
2
=0.96
96%
. The
speed of sound in
LDPE=1.95 mm
/
s
; thus, the wavelength
of sound in
LDPE=0.975 mm
at
2 MHz
. The wall thickness
of the LDPE vial was
1mm
, which was comparable to the
wavelength. Therefore, the loss of acoustic signal due to im-
pedance mismatch was relatively small
only
4%
. More-
over, the loss of signal due to absorption inside the LDPE was
also very small,
2.5 dB
/
cm
at
5 MHz
i.e., for
1mm
thick-
ness, the loss due to absorption would be
0.25 dB
/
mm
at
5 MHz
2.5%
loss per mm of thickness
. Moreover, our
ultrasound transducer had a center frequency at
2.25 MHz
.
The lower the sound frequency is, the less the absorption is.
At
3 GHz
, the loss tangents of water and LDPE are 0.157
and 0.00031, respectively, and the relative dielectric constants
are
78
and
2.26
, respectively. The amount of power
measured in watts per cubic meter
that is absorbed is given
by,
P
=2
f
0
r
tan
E
2
, where
f
is the frequency
measured
in Hertz
,
0
=8.854
10
−12
Fm
−1
,
r
is the relative dielectric
constant,
tan
is the loss tangent, and
E
is the potential gra-
dient
measured in volts per meter
. Thus,
P
water
P
LDPE
=
r
water
r
LDPE
tan
water
tan
LDPE
=
78
2.26
0.157
0.00031
= 17479.
Therefore, the microwave absorption of LDPE is negligible
compared to that of water. Thus, there was virtually no pos-
sibility of producing TA signals from the LDPE vial because
there was essentially no microwave absorption by the LDPE.
Figure
1
b
shows the TA signal generated from the sample
holder
LDPE vial
filled with deionized
DI
water and with
mineral oil. The DI water vial produced a
48-mV
peak-to-
peak TA signal
red line
, while no significant TA signal was
generated from the vial filled with mineral oil
blue line
.
Therefore, the LDPE vial did not generate any detectable TA
signal. We also tested the PA signal generated from the LDPE
vial filled with ink solution and mineral oil, at
532 nm
wave-
length light. Black acrylic artists ink was diluted with water to
have an absorption coefficient of
30 cm
−1
at
532 nm
.A
Cary 50 ultraviolet/visible spectrophotometer was used to find
the absorption coefficient of the ink solution. Figure
1
c
shows the PA signals, and the ink vial produced a
156-mV
peak-to-peak PA signal
red line
, while with mineral oil did
not produce any significant PA signal
blue line
. Therefore,
we concluded that the sample holder vial had no detectable
effect either in TA or PA signal generation and, henceforth, all
signals observed were considered to be generated from the
sample placed inside the vial.
3.6
Experimental Procedure
The sample holder vial was filled with different samples, DI
water for TA measurements, and ink solution for PA measure-
ments. Two types of experiments were done. A heated sample
was allowed to come to room temperature by natural convec-
tion, exchanging heat with the background medium
mineral
oil
. The volume of the sample was very small compared to
the mineral oil; thus, the temperature rise of the mineral oil
was neglected. The TA/PA signal was recorded with time as
the sample temperature decreased to room temperature. The
thermistor was inserted inside the sample to monitor the ac-
tual temperature. Next, cold sample was allowed to reach
room temperature by natural convection, exchanging heat
with mineral oil, and the TA/PA signal was recorded with time
as the sample temperature increased to room temperature. The
actual temperature of the sample was also monitored using a
thermistor as before. Note that, for the decreasing and increas-
ing temperature experiments, the sample holder position may
have altered slightly. The sample holder was removed, refilled
with cold/hot sample, and then placed back in the system.
Pramanik and Wang: Thermoacoustic and photoacoustic sensing of temperature
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4 Results and Discussions
Figure
2
a
shows the peak-to-peak TA signal amplitude and
the actual temperature of the DI water. The TA signal de-
creased as the DI water cooled to room temperature with time.
The TA signal follows the actual temperature profile
red line
very well. Figure
2
b
plots the TA signal versus the tempera-
ture of the sample. The green line shows a linear curve fit with
an
R
2
of 0.95. A linear relationship between the actual tem-
perature and the TA signal was observed. Figure
2
c
shows
the TA signal increased when the cold DI water temperature
reached room temperature. The TA signal follows the actual
temperature profile
red line
very well. Figure
2
d
plots the
TA signal versus the temperature of DI water, and the green
line shows a linear curve fit with an
R
2
of 0.91. A linear
relationship between the temperature and the TA signal was
observed. For water in this temperature range, the Grueneisen
parameter is a linear function of temperature
31
,
32
and, there-
fore, the TA signal amplitude also varies linearly with the
temperature.
Similar experiments were done for PA measurements with
ink solution as a sample. Figure
3
a
shows the PA signal
generated from the ink solution and the actual temperature.
Once again, the PA signal decreased as the solution tempera-
ture approached room temperature, and followed the actual
temperature profile
red line
very well. Figure
3
b
plots the
PA signal versus temperature, with the green line showing a
linear curve fit with an
R
2
of 0.98. Next, a cold ink solution
was allowed to reach room temperature. The PA signal in-
creased as the temperature of the solution increased
Fig.
3
c
and followed the actual temperature profile
red line
very
well. Figure
3
d
plots the PA signal versus the temperature
with the green line showing a linear curve fit with an
R
2
of
0.98.
Table
1
summarizes the TA/PA measurements. The number
of measurements averaged was 20 for each data point, and as
the microwave/laser was operating at
10 Hz
pulse repetition
rate, the temporal resolution was
2s
. We can see the change
in signal per degree change in temperature is slightly higher
for increasing temperature than for decreasing temperature. It
was 3.6% for increasing temperature
compared to 3.0% for
decreasing temperature
in the case of TA measurements, and
5.9% for increasing temperature
compared to 4.1% for de-
creasing temperature
in the case of PA measurements.
Figure
4
a
shows how the Grueneisen parameter of water
varies with temperature
=
s
2
/
c
p
in the temperature range
of interest.
31
,
32
It increases linearly with temperature, with a
higher slope within the range
0–20°C
than within the range
20–100°C
the slope in the range
0–20°C
is 1.48 times the
slope in the range
20–100°C
. This agrees with our observa-
tion in both TA and PA measurements for increasing and de-
creasing temperature. For the TA measurements, the slope in
the range
4–22°C
was 1.16 times the slope in the range
23–58°C
, and for the PA measurements the slope in the
range
13–22°C
was 1.44 times the slope in the range
24–46°C
. We can also see a slight difference in the signals,
depending on the direction from which the sample comes to
equilibrium. In the case of TA measurements, the equilibrium
signals were 35.1 and
28.9 mV
17.6% difference
for equi-
librium reached from cooling and warming, respectively. The
corresponding equilibrium temperatures were 22.59 and
21.66°C
. There was an almost
1°C
difference between the
two equilibrium temperatures. After accounting for this differ-
ence, we see a
14%
17.6%−
3.0%+3.6%
/
2=14.3%
signal discrepancy. In the case of PA measurements, the equi-
librium signals were 166.7 and
140.3 mV
15.8% difference
and the equilibrium temperatures were 23.57 and
21.41°C
,
respectively. There was an almost
2°C
temperature difference
between the two equilibrium temperatures. After accounting
for this difference, we see a
6%
15.8%−2
4.1%
Fig. 2
a
TA signal and actual temperature of DI water as heated DI
water was allowed to come to room temperature,
b
TA signal versus
temperature, which shows almost a linear relationship. Green line is
the linear curve fitting with an
R
2
of 0.95.
c
TA signal and the actual
temperature of DI water as cold DI water was allowed to come to
room temperature,
d
TA signal versus temperature, which shows al-
most a linear relationship. Green line is the linear curve fitting with an
R
2
of 0.91.
Color online only.
Fig. 3
a
PA signal and actual temperature of diluted black ink solu-
tion
a
=30 cm
−1
as the heated sample was allowed to come to
room temperature,
b
PA signal versus temperature, which shows
almost a linear relationship. Green line is the linear curve fitting with
an
R
2
of 0.98.
c
PA signal and the actual temperature of ink solution
as cold solution was allowed to come to room temperature,
d
PA
signal versus temperature, which shows almost a linear relationship.
Green line is the linear curve fitting with an
R
2
of 0.98.
Color online
only.
Pramanik and Wang: Thermoacoustic and photoacoustic sensing of temperature
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Vol. 14
5
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