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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5814_Библиотеки_им_академика_М_И_Перельмана

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220 Diagnostic ultrasound: imaging and blood ow measurements
A
+
tion
Polariza Direction
L
Figure 9.6 Multilayer piezoelectric materials.
where K is the dielectric constant and C = KA/L is the original capaci- tance. Goldberg and Smith (1994) showed that for a 1.5D array element of
0.37 × 3.5 × 0.66 mm consisting of three piezoelectric layers at 2.25 MHz of a prototype array, with a 2.5 pF cable shunt capacitance, a light epoxy backing and a λ/4 matching layer, a 100 Ω input electrical impedance, and a 197 pF clamped capacitance, were measured in comparison to an imped­ance of 800 Ω and clamped capacitance of 24 pF of a 0.37 × 3.5 × 0.77 mm element consisting of a single piezoelectric layer of a control array of similar construction. An increase of 10 dB in round-trip sensitivity was observed from pulse-echo measurements. Multilayered piezocomposites have also been incorporated into array transducer design and shown to enhance their performances as well (Zipparo et al., 1999).
Multilayer ex circuits may be used to overcome the interconnection problem, but the cable size would still be unmanageable. A multilayer ex conguration for a 6 × 39 mm 1.5D array is shown in Figure9.7, where (a) is a photo of the array assembly and (b) is an enlarged view of a section. The number of channel counts conceivably may be reduced by multiplexing or by adopting a sparse array approach (Smith et al., 2002; Lockwood et al.,
1996). A fully sampled 2D array reported consisting of 9212 elements is now commercially available for 3D real-time volumetric imaging. It is not clear in this 2D array design whether there are equal numbers of elements in the azimuth and elevation. It is, however, known that for this 2D array, a subarray beamforming architecture is implemented. The elements rst are grouped into 128 groups. Delays are applied to the elements in the group, summed, and cabled to the mainframe, where intergroup delays are applied and summed again. Presumably in this approach electronic channel count is reduced, but still allows a fast frame rate of 20–30 per second.
221Chapter nine: Multidimensional imaging and recent developments
dx
(a)
200 µm
40 mm
(b)
Figure 9.7 (a) A photo of a 1.5D array with multilayer ex. (b) Enlarged view of a section of the ex. The line width and via hole diameter are 25 and 50 μm, respec­tively. (Courtesy of D. Wildes, GE.)
Sparse arrays have been pursued for many years as an alternative to par­tially circumvent this problem.
A more recent advance in transducer technology that has a great potential in making the fabrication of a 2D array more cost-effective and in solving the interconnection problem is the capacitive micromachined ultrasonic transducer (cMUT) (Ladabaum et al., 1998; Oralkan et al., 2002; Mills, 2004). This approach differs completely from the traditional trans­ducer design strategy and possesses the advantage in that semiconductor technology, which allows integration of transducers and electronics and miniaturization, is used. A cMUT cell is illustrated in Figure9.8. The sili­con nitride membrane and the silicon substrate form a capacitor, which makes the membrane vibrate upon the application of an AC voltage, VAC, when biased by a DC voltage, VDC. The gold layer is an electrode. The approximate dimensions of these structures are silicon nitride mem­brane 0.35–10 μm thick, the gap between the membrane and polysilicon
d0 0.05–12 μm, and silicon substrate 500 μm. Cell radius, a, goes from
10 to 200 μm. The force, Fc, acting on the membrane can be obtained from the following equation:
F
c
dx
2
CV V
1
d
=− =−
1
22
ddxKA
2()
dx
=
0
KAV
2( )
0
2
(9.1)
2
222 Diagnostic ultrasound: imaging and blood ow measurements
+=
Silicon Oxide
Silicon Nitride
Ga
Gold
p Width
Figure 9.8 Construction of one capacitive micromachine’s ultrasonic transducer (cMUT) cell.
Vacuum
P-doped Silicon
where A is the area of the cMUT cell = πa2, V is the voltage across the cMUT (a capacitor), x is the membrane displacement, and K is the dielec­tric constant. The static force when V = VDC and x = 0 is given by
2
KAV
DC
=
F
ST
(9.2)
2
2
d
0
It is clear from this equation that the sensitivity of the device is inversely proportional to the gap width. It increases as the gap width decreases. It is also proportional to the bias DC voltage VDC. The resonant frequency of the device is given by (Hietanen et al., 1992)
2.405
=
n
πτρ
2fa
m
where τ and ρm are the tension and density of the membrane = 120 n/m and 3 × 10–3 kg/m3 for silicon nitride. For a = 5 μm, fn is about 12 MHz.
The cMUT element behavior has been analyzed with a simple rst-order electromechanical model (Ladabaum et al., 1998), shown in Figure9.9, where the medium in the cMUT is assumed to be a vacuum, and as a result, there is no mass loading effect. The force equation at the cell membrane can found by applying Newton’s second law:
2
() ()
dxt
m
dt
2
KAVt
2( )
dxt
2
() 0
kx t
2
()
0
(9.3)
where k and m are the mass and the spring constant of the membrane. This is a nonlinear second-order differential equation, which is very difcult to
223Chapter nine: Multidimensional imaging and recent developments
2
3
d
2
T cell)
x
Spring
Mass
Capacitor (cMU
Figure 9.9 A rst-order model of cMUT operation.
solve. To calculate the collapse voltage, set V(t) = VDC and assume no time variation; Equation (9.3) becomes
KAV
DC
kx
=
2
dx
2( )
0
This third-order polynomial equation can be found to have a real root for VDC >> kx at
collapse
=
x
0
and
3
8
kd
collapse
=
V
27
0
KA
A reduction in spring constant k or a spring softening effect due to the electrostatic force acting on the membrane is often observed. The softened spring constant was found to be
KAV
=−
kk
soft
DC
3
d
0
As the resonant frequency of a spring-mass system is related to the square root of the spring constant, a drop in the resonant frequency of the cMUT is expected if the biased voltage is increased.
224 Diagnostic ultrasound: imaging and blood ow measurements
++
22
CA
2FV
cDCAC
ide etch
Small holes allow the nitride to be deposited
Another observation that can be made from the simple equation that relates the force acting on the capacitor and voltage, Equation (9.1), neglect­ing x, is that Fc V2. If an AC voltage is applied, V = VDC + VAC, it can be shown that
~2
FV VV V
cDCDCA
C
Assuming VDC >> VAC, the time-varying part of
V
. The larger
the biased voltage, the greater the force or pressure that is produced.
Capacitive micromachined ultrasonic transducers (cMUTs), as the name implies, are fabricated utilizing MEMS methods. Two different approaches (Oralkan et al., 2002; Mills, 2004), surface machined and bulk machined, have been developed. The surface-machined approach devel­oped by Ladabaum et al. (1998) is described in Figure9.10. A clean P-type silicon wafer is prepared. A thin (1 μm) silicon oxide is grown on top of the wafer with a wet oxidation process as a sacricial layer. In the next step, a layer of silicon nitride (0.35 μm thick) is deposited on top of the oxide layer via low-pressure chemical vapor deposition (LPCVD). A resist layer is then spin-coated. Electron beam lithography is subsequently per­formed, followed by plasma nitride and wet oxide etch. A second silicon nitride layer of 0.25 μm thickness is deposited on the released membranes. As the nal step, a chrome and gold layer of 0.05 μm thickness is evapo­rated onto the nitride layer. A 3 MHz 128-element linear array was fabri­cated with cMUT (Oralkan et al., 2002). Each element of the array had a dimension of 200 × 600 μm consisting of 750 circular cMUT cells of 36 μm radius. Each had a silicon nitride membrane thickness of 0.9 μm and gap
P-type silicon wafer
Nitride and ox
Figure 9.10 The MEMS process for cMUT fabrication.
Oxide growth
Nitride deposition
Mask
Lithography
Nitride deposition, metalization, and electrode patterning
225Chapter nine: Multidimensional imaging and recent developments
(a)
MEMS structure on the surface; each cell has the width of a human hair
(b)
Figure 9.11 (a) Photo showing several cMUT cells. (b) Atomic force microscopic image of one cMUT cell. (Courtesy of Sensant Corp.)
width of 0.11 μm. The silicon substrate thickness was 500 μm. The device was found to have a bandwidth of 80% and a penetration depth of 21 cm in water. The level of cross talk was observed to be higher than that of comparable conventional linear arrays.
Figure9.11(a) and (b) shows, respectively, a photo of several cMUT cells in which the lighter-colored structures are the cell membrane and conduc­tive paths and an atomic force microscopic image of one cell. A 192-element
226 Diagnostic ultrasound: imaging and blood ow measurements
cMUT Linear Array
ct
(a) (b)
Interconne
Array
Figure 9.12 A photo of a cMUT 192-element linear array. (Courtesy of Sensant Corp.)
linear array fabricated from this technology is shown in Figure 9.12, and a corresponding image acquired by this array is shown in Figure 9.13, along with an image obtained by a conventional PZT array. An improved axial resolution is clearly seen due to the large bandwidth of cMUT. An additional advantage of cMUT is that the need for matching the acoustic impedance between the transducer and the loading medium is no longer necessary. There are, however, a few shortcomings with this technology: a slight decrease in sensitivity, much higher input electrical impedance, and the need for a bias voltage in the order of 100 V.
In another development, piezoelectric micromachined ultrasonic trans­ducers (pMUTs) that use the bending mode of a piezoelectric layer spin-coated onto a silicon membrane have been studied for medical imaging as well (Dausch et al., 2008). This type of device makes use of the electromechanical
Figure 9.13 Image comparison of breast broadenoma at 9 MHz acquired by (a) a 192-element cMUT array and (b) a conventional PZT array. (Courtesy of Sensant Corp.)
227Chapter nine: Multidimensional imaging and recent developments
λλ
ed
coupling coefcient k31 of a piezoelectric material, i.e., displacement produced in the 1 direction upon the application of an electric eld in the 3 polarization direction. It possesses the same advantage of cMUT in ease of fabrication and integration, with imaging electronics allowing the manufacturing of high-den­sity arrays. An additional advantage is its larger capacitance than cMUT. The shortcoming is that k31 of a piezoelectric material is typically lower than k33. A prototype 7.1 MHz 2D fabricated showed a –6 dB bandwidth of 57%. It should be noted that for pMUT, each pMUT cell represents an array element, unlike cMUT, where each array element is populated by many cMUT cells.
9.2.2 Sparse arrays
To reduce the number of elements and channel count, sparse arrays may be used. On a predetermined aperture, piezoelectric elements are ran­domly placed as shown in Figure 9.14, where all the elements may be used to transmit and receive, or some of the elements for transmission and some for reception. The advantage of a sparse array is countered by the decrease in sensitivity due to the reduction in aperture size and an increase in the side lobe pedestal or the noise oor outside of the main lobe. It has been shown to be proportional to 1/(number of elements) (Lockwood et al., 1996). To overcome this problem, a periodic sparse array has been suggested by Lockwood et al. (1996). The grating lobes caused by the large pitch in a sparse periodic array may be alleviated by select­ing different pitches for the transmit and receive arrays. At a direction of φx shown in Figure3.47 at a distance r >> La, where La is the width of the array, the transmitted radiation pattern, as previously shown in Chapter 3, normalized with respect to the wavelength λ is given by
x
δ
jk
δ=
()Ha
TT
x
x
λ
(9.2)
Figure 9.14 A random sparse array where the solid squares represent piezoelec­tric elements.
228 Diagnostic ultrasound: imaging and blood ow measurements
λλ
ed
==() () () [][] [*]HHHFTa FT aFTa a
TR
x
a
T
b
u
0
g
Figure 9.15 Transmit aperture function for a linear array of pitch g and element width b.
where δ = sin φx, λ is wavelength, k is the wave number, and aT is the transmit aperture function. Again, this equation basically states that the radiation pattern of an aperture is the Fourier transform of the aperture function (Steinberg, 1976). For a linear array the aperture function can be represented by Figure9.15, where b is the element width. If the acoustic independent variable chosen is medium velocity, at(x/λ) is represented by a series of pulses with a medium velocity amplitude u0. Here the distance x is normalized with respect to λ. If the receive radia­tion pattern is given by
x
δ
jk
δ=
()Ha
RR
x
x
λ
(9.3)
where aR is the receive aperture function, the two-way pulse-echo radia­tion pattern would be
δ= δδ
TR TR TT
where * denotes convolution and E(x/λ) = aT(x/λ)
aR(x/λ) is frequently
*
(9.4)
called the effective aperture function or co-array function (Steinberg,
1976). In the far eld of the array, i.e., r >> L, the rectangular pulses may be represented by impulses, as shown in Figure9.16. Assuming that there are NT and NR elements in the transmit and receive apertures, respec­tively, following the convolution, the number of elements in the effective aperture should be NTR = NT + NR – 1 with a width of 2L and a pitch of ½λ. There are a variety of ways to reconstruct the effective aperture from the transmit and receive aperture functions. Figure9.17 illustrates two of
229Chapter nine: Multidimensional imaging and recent developments
x
λ/2
x
x 2Lx
λ/2
*
x
NT = 8 NR = 8
xLL
2L
N
= 15
TR
x
Figure 9.16 Desirable effective aperture function can be achieved by convoluting a transmit aperture function with a receive aperture function.
them (Lockwood et al., 1996). This approach is only valid for the far eld of a nonfocused array and at the focus of a phased array. In addition, a combination of apodization and addition of extra elements is necessary to make it work successfully.
9.3 3D imaging
Three-dimensional ultrasound is an important new area of development. It exploits the tomographical capability of ultrasound by acquiring mul­tiple slices of the images. 3D reconstruction can be accomplished ofine or in real time using 2D arrays and parallel processing (Nelson, 2000). If a scanner is capable of displaying the volumetric images in real time, it is often called a 4D scanner. Ofine 3D imaging is achieved by freehand scanning with electromagnetic position sensing or by mounting the probe on a mechanical translator whose position is encoded. The data acquired are displayed following image processing by optimized algorithms on a high-resolution monitor. Currently 3D ultrasound images are displayed
λ/2
λ
*
x
λ/2
*
Figure 9.17 Two approaches that may be used to obtain a desired effective aper­ture function.
=
x 2L
λ/2
=