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HAL Id: jpa-00245348

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Submitted on 1 Jan 1985

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Resolution of scanning ultrasonic imaging systems with arbitrary transducer excitation

M. Nikoonahad, E.A. Ash

To cite this version:

M. Nikoonahad, E.A. Ash. Resolution of scanning ultrasonic imaging systems with arbitrary trans-

ducer excitation. Revue de Physique Appliquée, Société française de physique / EDP, 1985, 20 (6),

pp.383-389. �10.1051/rphysap:01985002006038300�. �jpa-00245348�

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Resolution of scanning ultrasonic imaging systems with arbitrary

transducer excitation

M. Nikoonahad and E. A. Ash

Department of Electronic and Electrical Engineering, University College London, Torrington Place, London WC1E 7JE, U.K.

(Reçu le 7 septembre 1984, révisé le 6 mars 1985, accepté le 12 mars 1985)

Résumé.

2014

On propose une formulation analytique permettant de prévoir les performances de systèmes imageurs

ultrasonores large bande.

L’effet de la dépendance en fréquence de l’atténuation sur la résolution de l’image est analysé. Des exemples

concernant le cas d’une impulsion radiofréquence étroite et d’une excitation large bande balayée linéairement

en fréquence sont présentés.

On montre que dans la mesure où seule la résolution de l’image est considérée, il est possible de faire une très

bonne estimation intuitive de la « fréquence continue équivalente ».

Abstract.

2014

An analytical formulation is presented which predicts the imaging performance of broadband ultra-

sonic imaging systems. The effect of frequency dependent attenuation on image resolution is analysed. Examples

of the case of a narrow RF pulse and a wideband FM chirp pulse excitation are presented. It is shown that as

far as the imaging resolution is concerned it is possible to make a very good intuitive estimate of the « equivalent

cw » frequency.

Classification

Physics Abstracts

43.35

1. Introduction.

The resolving power of imaging systems as a function of the wavelength, À, was established by Abbé over a century ago. The modification of the result for spa-

tially cohérent, incoherent or partially coherent radia- tion is also well known [1]. The extension to the case when the incoherent illumination covers a broadband

of wavelengths

-

as for example the case of an optical microscope illuminated by a tungsten source is quite simple. One can then define a separate point spread

function for each, narrow band of radiation. The resultant point spread function is obtained by the

addition of the corresponding intensities.

In acoustic imaging one can however encounter a

situation where the illuminating signal is broadband,

but where there is still complete temporal coherence,

in the sense that the waveform is fully defined, as is the corresponding complex frequency spectrum (1). In

this situation the intensity point spread function is obtained by the complex addition of the amplitude

(1) It is possible that with the emergence of femto- second optical pulses, the same considerations might be

needed in analysing optical focussing systems.

point spread functions for each component in the

frequency spectrum. In medical ultrasonics and in systems for nondestructive examination it is not uncommon to encounter bandwidths which exceeds

one octave. Indeed, since in many situations the aim is to achieve the greatest possible range resolution,

there is always an incentive to use shorter pulses and

hence wider bandwidths. In acoustic microscopy [2-4]

there is also a tendency to work with ever shorter pulses, or alternatively [5, 6] with broadband, coded pulses. It is in such situations that a more rigorous

calculation of the effective resolution is needed, in

order to make rational choices in instrument design.

The issue is of particular importance in acoustic

imaging systems, where the attenuation of the signal

increases with frequency

-

often with the square of

frequency. In thermal wave imaging systems [7, 8]

where the real and imaginary part of the propagation

constant are equal, this problem is even more severe.

In such situations the judicious choice of an illumina-

tion frequency spectrum designed to optimise the performance of the imaging system, is by no means

obvious.

In this paper we will develop the theory needed

to calculate the effective resolution of an acoustic

Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/rphysap:01985002006038300

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384

imaging system

-

i.e. the effective point spread func-

tion

-

and then show how this affects the imaging performance of a system for short R.F. pulses and for

linear FM chirp pulses. We will show that the results

are in accord with a simple intuitive concept of an equivalent monochromatic illumination at a suitably averaged frequency.

2. Theory.

A scanning imaging system is illustrated in figure 1.

The aperture Tx produces a field onto the object

and the aperture Rx gathers the scattered and trans- mitted radiation. The parameters of the two aper- tures can in general be différent, though, they are of

course identical in a reflection version, where one aperture only is used. The analysis of two systems, however, proceed in the same manner. We assume

that a complex scalar phasor adequately describes

the two-dimensional field distribution between the transmitter and receiver pupils.

Fig. 1.

-

The general form of a transmission scanning imaging system.

Our aim is to derive the amplitude of the output signal from the instrument U (xs; ys, f ) when the system is illuminated at a frequency f. Here (xs, ys)

are the object scan coordinates. The output will depend on the point spread functions, at the object plane, due to transmitting and to receiving pupils, T(xo, yo, f ) and R(xo, yo, f ) and on the object

function 0(xo, yo). We will for the moment assume

that the object function is independent of frequency.

The function U(xs, ys, f ) is obtained using the well-

known convolution [9, 10], expression,

The transmitter point-spread function can be regarded

as based on the geometrical functions Tg(xo, yo, f),

which one would obtain in a lossless medium, when

the lenses are excited at a frequency f of unit ampli-

tude. It also depends on the complex excitation spec- trum E(f), and the frequency-dependent attenuation of the medium, Wt(f). In general the diffraction function Tg(xo, yo, f ) and attenuation function Wt(f)

can not be completely separated from each other.

However, we have previously shown [11] that the

effect of a finite attenuation on the field distribution

(and in particular on focal plane distribution of an

acoustic lens) at frequencies of interest is very small.

We therefore have :

The corresponding receiver point spread function, R(xo, yo, f ), is given by :

where Rg(xo, yo, f ) is the receiver geometrical point spread function and Wr(f) is the fluid weighting

function for the propagation from the object to the

receiver.

For a thin lens, Tg(xo, yo, f ) and Rg(xo, yo, f)

take the form of the two-dimensional Fourier trans- form of the pupil functions [9, 10]. The precise nature

of the Wt(f) and Wr(f) depend on the model [12]

one chooses to represent absorption mechanism in the fluid. Irrespective of the origin of such frequency- dependent losses, there exists an associated dispersion

characteristic which may be found by the application

of the Kramer-Kroning relationship.

Equation (1) is recognized as a two dimensional convolution of the product of transmitter and receiver

point spread functions and the object function. For

a wideband system we obtain a set of images, each

of which is the result of a convolution operation at

a given frequency. In view of the linearity in the

system, the broad-band, scanned image amplitude, U(xS, Ys) is the superposition of all the images in the frequency band, so that

where the excitation spectrum is contained within the limits fi to f2. Changing the order of integration, we obtain

(4)

so that

Equation (6) is a convolution integral which we can write more compactly as,

where

We recognize He(x0, yo) as the effective point spread

function of the complete system. This broadband

point spread function will lead to a certain image.

It is at once clear that the resolution in this image will

be better than that which would be associated with a

monochromatic system excited at the lowest frequency

in the spectrum and worse than that associated with the

highest frequency. For the case of a lossless coupling fluid, one might expect the single excitation frequency which, from the standpoint of resolution, gives a per- formance equivalent to E(f), to be some weighted

mean of all the frequencies present. It seems intui-

tively plausible that the effective frequency will be

somewhere near the centre of gravity of the energy spectrum. Coupling losses in the liquid, which rise rapidly with frequency will de-emphasize the higher frequencies in the spectrum, the effective spectrum in the presence of losses is,

The centre of gravity of the spectrum fc is then given by :

In the following we will find it useful to compare the actual point spread function, as computed from equation (8), with that arising from as assumed

monochromatic excitation at the frequency le

3. Specific excitation functions.

In this section the result of the above analysis is presented with particular reference to a confocal scanning acoustic microscope system, for two different excitation conditions

-

pulsed RF and linear FM

chirp pulses. We assume that the transmitter and

receiver lenses are identical and their point-spread

functions are adequately described by a J1(x)/x

type dependence. We have :

with

where D, r and 1 are the full lens aperture, radial distance, focal length respectively and v is the phase velocity in the medium. We further assume that the

frequency-dependent attenuation in the liquid can

be described by a square law function and ignore the

associated velocity dispersion which turns out to be very small at the frequencies of interest so that,

where c is a constant characterising the f 2 dependence

of attenuation.

The point spread function at the centre of gravity

of the spectrum is then simply given by :

with

In the following examples we concentrate on a specific

case, for which D = 150 gm, 1 = 100 ktm and v = 1 500 ms-1 and the bandwidth is 500 MHz centred

on 750 MHz.

3.1 RF PULSE EXCITATION.

-

An RF pulse e(t)

centred at the frequency fo is given by :

where T is the pulsewidth. The corresponding Fourier

spectrum, E(t) is given by :

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386

The effective point spread function, He calculated

form equation (8), is given by :

We have simulated the case where T = 20 ns for various loss conditions. Figure 2a shows how the function T R varies in the ( f, r) plane for the lossless

case (i.e. cl = 0.0). Figure 2b shows He calculated

from equation (17). This, within the approximations

we have made is the correct result It is interesting

to compare this with the point spread function cal- culated at the frequency fc

-

shown dotted in figure 2b.

In this, lossless case, spectral centre of gravity fre-

quency is identical to the band centre frequency

750 MHz. We see that using this intuitive approach

the main lobe is well predicted. The main departure

is in the « blurred » side lobe structure of the effective

point-spread function which is readily understood

to be due to a wideband signal.

Fig. 2.

-

Point-spread function due to a 20 ns RF pulse centred on 750 MHz excitation with cl = 0.0. (a) variation

of TR in the ( f, r) plane ; (b) variation of He and He with

radial distance.

Figure 3a shows the surface when cl = 2.5 GHz- 2, corresponding to a case where a 100 J.1m focal length

lens focuses in water at room temperature. Figure 3b

shows again the calculated He and Hc. As far as the

width of the main lobe is concerned we see that there is still good agreement between He and Hc. The effect of frequency averaging is again to smooth the sidelobe structure. Finally, figures 4a and b show the surface and He and Hc for the case where cl = 10.0 GHz- 2.

Although with such high losses the spectral centre

of gravity is now depressed to 534 MHz we still see

a remarkably good agreement between He and Hc.

Fig. 3.

-

As figure 2 but with cl = 2.5 GHz-2.

3.2 CHIRP PULSE EXCITATION.

-

A linear chirp pulse with bandwidth B and duration T can be written in the form,

where p = B/T is the dispersion factor. It has beçn

shown that for the case of large BT the Fourier trans-

form of e(t) is given by [13] :

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Fig. 4.

-

As figure 2 but with cl = 10.0 GHz- 2.

Which effectively means constant amplitude and quadratic phase variation over the passband The

schematic diagram of a pulse compression microscope using SAW filters and operating in reflection is shown in figure 5. We have previously shown [14] that in

such a system with both expander and compressor

present the phase terms cancel out leading to,

Fig. 5.

-

The basic elements of a pulse compression scan- ning acoustic microscope using surface acoustic wave

dispersive filters.

Figure 6a shows the TR surface for the lossless

case. Figure 6b shows He and He for this case. As

far as the main lobe is concemed a good agreement between He and He is observed Once again the He

sidelobe structure is much smoother than that asso-

ciated with monochromatic RF excitation. This is due to the fact that in this case all the frequencies

Fig. 6.

-

Point spread function due to a linear chirp pulse

centred on 750 MHz with 500 MHz bandwidth excitation with cl = 0.0. (a) variation of T R in the ( f, r) plane ; (b)

variation of He and He with radial distance.

contribute toward the effective point spread function equally. Figure 7a shows the case for cl = 2.5 GHz-2

and figure 7b shows the corresponding He and Hc.

Again a good agreement for the mainlobe is evident.

It is seen that the sidelobe structure is in better agree- ment with that of Hc(f). This is due to the fact that because of the large losses the effective spectrum is

narrower; we are closer to a monochromatic situation.

This effect is even more marked in figures 8a and b

where the TR surface and He and Hc have been plotted

for cl = 10.0 GHz-2.

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388

Fig. 7.

-

As figure 6 but with cl = 2.5 GHz- 2.

4. Conclusions.

We have presented an analytical theory for the ana- lysis of broadband imaging systems. The theory is général ; it can be applied to optical, acoustical and thermal imaging systems. We have illustrated our

results by reference to a specific case

-

that of scanning acoustic microscopy. We have shown that

the performance of a broadband imaging system

can be well characterised by an equivalent mono-

Fig. 8.

-

As figure 6 but with cl = 10.0 GHz- 2.

chromatic system operating at the frequency corres- ponding to the centre of gravity of the effective power spectrum.

Acknowledgments.

The authors would like to express their gratitude

to Mr. M. Vaez Iravani for a number of fruitful discussions. The work was supported by the Science and Engineering Research Council.

References

[1] BORN, M. and WOLF, E., Principles of Optics, Sixth

edition (Pergamon Press, Oxford) 1980.

[2] QUATE, C. F., ATALAR, A. and WICHRAMASINGHE, H. K.,

Acoustic Microscopy with Mechanical Scanning,

A Review, Proc. IEEE 67 (8) (1979) 1092-1113.

[3] SINCLAIR, D. A., SMITH, I. R., WICKRAMASINGHE, H. K.,

Recent Developments in Scanning Acoustic Micro- scopy, Proc. IREE 52 (10) (1982) 479-493.

[4] NIKOONAHAD, M., Recent Advances in High Resolution

Acoustic Microscopy, Contemp. Phys. 25 (2) (1984)

129-158.

[5] YUE, G. Q., NIKOONAHAD, M. and ASH, E. A., Sub- surface Acoustic Microscopy using Pulse compres- sion Techniques, Proc. of IEEE Ultrasonics Sym- posium (1982) 935-938.

[6] NIKOONAHAD, M., YUE, G. Q. and ASH, E. A., Pulse Compression Acoustic Microscopy at 750 MHz,

Elect. Letts. 19 (1983) 782-784.

[7] ROSENCWAIG, A., Thermal-wave Imaging and Micro-

scopy, in Scanned Image Microscopy (Academic

Press, London) 1980.

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[8] VAEZ IRAVANI, M. and WICKRAMASINGHE, H. K., Scattering Matrix Approach to Thermal Wave Propagation in Layered Structures, Submitted to J. Appl. Phys. (1984).

[9] LEMONS, R. A., Acoustic Microscopy by Mechanical Scanning, Report No 2456, Stanford University, Stanford, California (1975).

[10] SHEPPARD, C. J. R. and CHOUDHURY, A., Image

Formation In the Scanning Microscope, Optica

Acta 24 (10) (1977) 1051-1073.

[11] NIKOONAHAD, M. and ASH, E. A., Ultrasonic Focussing

in Absorptive Fluids, in Acoustical Imaging (Ple-

num Press) 12 (1982) 47-60.

[12] MARKHAM, J. J., BEYER, R. T. and LINDSAY, Absorp-

tion of Sound in Fluids, in Rev. Modern Phys. 23 (4) (1951).

[13] KLAUDER, J. R., PRICE, A. C., DARLINGTON, S. and ALBERSHEIM, W. J., Theory and Design of Chirp Radars, Bell Systems Tech. J. 39 (1960) 745-808.

[14] NIKOONAHAD, M., YUE, G. Q. and ASH, E. A., High Frequency Acoustic Microscopy using Pulse Com- pression, Proc. of IEEE Ultrasonics Symposium,

83 CH 1947-1, 2 (1983) 616-620.

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