Abstract

The measurement of optical contrasts within thick biological tissues can be performed with the hybrid technique of acousto-optic imaging, but it has been shown that an acquisition rate in the 1 - 10kHz range is required for a good efficiency. This comes from the interferometric nature of the signal, blurred by speckle decorrelation in a time τc, due to a decrease of the speckle pattern contrast at the exit of the sample. An holographic setup that associates a fast and large area single photodetector and a photorefractive crystal, can measure in real-time the acousto-optic signal: this is the so-called self-adaptive wavefront holography technique. Nevertheless, it is essential to size the photorefractive response time (τPR) of the crystal with τc in order to optimize the signal-to-noise ratio of the measurement. This time mainly depends on the overall light intensity within the crystal. We have developed an original in situ method to determine τPR with the combination of acoustic pulses and a frequency de-tuning of the reference beam. We can measure precisely this time but also monitor it according to a theoretical model that we have previously described. We are able to adapt the response time of the setup to the decorrelation time of the medium under study.

© 2007 Optical Society of America

1. Introduction

Optical imaging through many centimeters of biological tissues still remains a challenge, since the media are highly scattering. No conventional images can be performed. Diffuse Optical Tomography (DOT) is a pure optical methods which provides images following a reverse treatment of the local diffusion equation [1]. Since a flux is measured, it is not sensitive to in vivo motion, compared to interferometric techniques. But this numerical approach can be time consuming according to the enormous quantity of data that are involved, and up to now, accurate resolution approaches 1cm 3.

Acousto-optic imaging (AOI) is an hybrid technique that uses the perturbation brought by ultrasound (US) inside a medium. This alternative tool provides direct in-vivo tomographies of objects (e.g tumors) embedded through thick biological tissues (some cm) [2–5]. In this approach, the acousto-optic signal gives an optical contrast located at the position of the ultrasound, with a resolution close to ultrasound imaging, e.g. 1mm 3. In many experiments, one performs measurements on the so-called tagged-photons, which are the one shifted from the US frequency through their path within the ultrasonic volume. The quantity of these useful photons represents no more than 1% of the total amount of light detected through the sample, which still remains weak.

Since acousto-optic effect is a coherent process, it requires the use of a laser with a large coherence length, but, because of the multiple scattering of photons through the sample, the field detected at the output of the sample has a speckle nature. The signal is thus coherent in time, but not in space. In order to detect selectively the pertinent tagged-photons an adequate coherent detection has to be performed.

Another difficulty arises on living tissues. The different motions within tissues, like the blood circulation and/or the brownian motion, reduce the coherence time of the electric field E. Nevertheless, E(t) and E(t́) remains correlated if |t - t́| < τc (where τc ~ 0.1ms is the field decor-relation time [6,7]). Since the field E is detected by a coherent technique, the contrast of the signal thus depends on the measurement time, and goes down for longer time. There is thus no benefit to work with an acquisition time larger than τc. Although speckle decorrelation is usually considered as a source of noise in many situations, the variations of its contrast can be used to measure some velocities distributions, as it has been done at low depth penetrations on a rat brain [8,9].

Many configurations have been explored in order to extract the signal blurred from this speckle pattern, whether using a set of optical fibers coupled to a single photo-detector [6,10,11], or an interferometric setup coupled to CCD cameras [12–14]. In the first case, one has to image onto the detector one (or a few) grains of speckle (to avoid to wash out the signal by averaging speckles with different phases). The detection can be very fast, thus not sensitive to decorrelation, but the amount of flux is weak, because the detector etendue (product of the area by solid angle) is low. In the second approach, the coherent detection is done on a multi pixel detector like a CCD camera [15]. The etendue is much larger (~ 106 pixels), and it is possible, by using heterodyne holography detection, to perform selective shot noise limited detection of the tagged-photons [12]. Nevertheless, the detection is slower. The CCD detection cycling ratio is thus low, because the CCD exposure time (which must be about τc to keep a good contrast) is much shorter than the image grabbing time i. e. the time to transfer the image data to the computer (100ms for 106 pixels and a grabbing frequency of 107 Hz).

More recently has appeared a new technique with a high etendue and a high velocity response [16,17]. The setup consists in a Mach-Zehnder interferometer where the recombination plate is a photorefractive (PR) crystal. Its great advantage is to obtain from the reference beam onto the crystal a diffracted component in the same direction as the signal beam, and with the same speckle characteristics. Since those beams are wavefront-adapted, they interfere coherently and thus the CCD camera can be replaced with a large area single photodetector (1cm 2), much more rapid and with a reduced post-treatment, that gives the possibility to observe the signal in real-time. To our knowledge, two groups have recently published results on this new techniques [16–21]. Sui et al. [20], who uses a BSO single crystal in the green region, has demonstrated the possibility to measure the variation of the acousto-optic response along the US axis with application of pulsed ultrasound, while Gross et al. [21] and Ramaz et al. [16] have presented and modelized various configurations in a cw regime for the US, presenting results obtained with a single crystal of GaAs at a working wavelength of 1064nm.

The PR detection of the tagged-photons is expected to be fast and potentially able to yield a good contrast for in vivo images. In practical situation, the PR velocity is not limited by the photodetector (photodiode + electronic), but by the PR crystal response time τPR. To get an optimum detection in terms of Signal to Noise ratio (e.g SNR), τPR has to be adjusted to the experimental in situ conditions. From a practical point of view, a compromise requires τPRτc. This is explained as follows : in our case, the temporal variations encountered (ultrasound, in vivo motion) act on the phase of the speckle pattern. If τPR is large (τPR > τc), speckle decor-relates faster than the build-up of the photorefractive effect (phase hologram), the hologram washes out and the contrast of the signal goes down (phase averaging close to zero).

If τPR is short (τPR < τc), the speckle contrast is good because the phase hologram established within the PR crystal “follows” speckle decorrelation. But it also means that detection will have to detect signals over a larger bandwidth : this will bring additional noise, and thus will reduce SNR. Another difficulty arises with rapid τPR that are generally obtained with a high power of the reference beam. Since the DC component of the signal is mainly due to the scattering of the reference towards detection, it produces a dominant contribution within the noise spectrum. Finally, the frequency modulation of the ultrasound (e.g amplitude or phase) must be larger than 1/τPR. If not, the phase of the diffracted beam and the speckle output pattern are very close-related and thus the temporal contrast of the interference term between the signal and the reference beam is weak. As a conclusion, the performances of the tagged-photon PR detection setup are strongly dependent on the photorefractive crystal, thus it is necessary to measure τPR in situ, and compare it with τc. The response time τPR is founded to be 150ms for the BSO setup [20], and 5ms for GaAs one [21]. This quantity depends on the crystal, but also on the optical configuration of the setup (i.e. power and area of the PR pump beam).

The experimental evaluation of τPR can be performed through temporal or frequency measurements. In the first case, the build-up of the photorefractive grating is evaluated through time resolved measurements of the variation of the detected signal when one or several beams that create the grating are put onto the crystal. These methods are convenient for crystals with a slow response time. When fast response time has to be determined, the experimental set-up becomes generally more complex with the necessity to use high-speed optical shutters with a high optical contrast or to use pulsed lasers. Despite being very simple in its principle, temporal measurements can be difficult to implement experimentally. This problem is canceled in the frequency domain, where we measure the frequency response of the grating to a perturbation. This method to which belongs the experiments we present here, is the best suited for rapid crystals. Two standards configurations are generally used to implement the experiment. Either we use a phase (or less often an intensity) modulated beam in a two wave mixing set-up [22,23] and we measure the amplitude of the detected signal as a function of the frequency (at one or several harmonics of the modulation), the cut-off frequency being related to the build-up time of the grating. The second alternative consists in using a moving grating [24] obtained by the interference between two beams with slightly different frequencies (or obtained through linearly phase modulating one of the beam). At high speed, the grating is erased and the measurement of the photorefractive gain as a function of this speed (or of the frequency difference) gives access to the response time of the photorefractive crystal. The technique we propose is related to the frequency measurement case. We use our experimental set-up for acousto-optical imaging to obtain a direct access to the response time of the photorefractive crystal in the exact condition of the measurement (grating spacing, pump beam power, nature of the crystal,…), without the use of an external experimental setup for additional measurements. The frequency de-tuning method that we will depict is not sensitive to the photodetection response, since the measurement is performed at a single frequency. We have made measurements of τPR as a function of the reference beam intensity for two types of GaAs crystals. The shortest τPR we have obtained (0.25ms) is compatible with the decorrelation time encountered in thick biological tissues (τc ~ 0.1ms [7]).

2. Presentation of the method

The analysis of the speckle pattern at the exit of the scattering medium under an ultrasonic excitation has been described in a previous paper [21]. When necessary, we will refer to the results and notations used in this reference. The application of a cw ultrasonic excitation (frequency ωUS) modulates the optical path along the volume of the US via the acousto-optic effect, thus the optical phase of light crossing the US volume is modulated at the ultrasonic frequency. This phase modulation effect classically generates sidebands on the laser spectrum (frequency ω 0). These additional frequencies ωn are written generically as

ωn=ω0±US

The different components are spatially uncorrelated because of their speckle character [21]. Their weight depends mainly on the acoustic pressure delivered by piezo-transducer via a Bessel’s function Jn, which is integrated over the path length of light within the ultrasonic volume, as mentioned in Eq. (12) of reference [21]. The field at frequency ω 0 corresponds to the so-called diffused photons through the sample, while fields at frequency ω ±1 corresponds to the tagged photons, which are in minority compared to the diffused photons (typically 1%). The addition of a slow phase or amplitude modulation (frequency ωmod) on the US is quite heavy to develop analytically, but once again, it will generate sidebands. As a consequence, the speckle field contains many harmonics of generic expression:

ωn,p=ω0±US±mod

The hologram built within the photorefractive crystal by the interference between the speckle field and the reference beam (plane wave, frequency ω that can be different from the laser frequency ω 0) contains a priori many frequencies of the form (ωn,p - ω), but only the slow varying components (i.e. |ωn,p - ω|τPR < 1) can contribute to the establishment of this hologram.

In the case of semiconductor crystals, where deep traps are responsible for the photorefractive effect, this time can be smaller than 100μs for a flux density of some Watts/cm 2 [25, 26]. In any case, it cannot follow an ultrasonic modulation ωUS at 2MHz, as it is our case. As a consequence, the frequency difference between the reference beam and the signal beam must be reasonably close to an harmonic of the ultrasonic frequency ωUS. When no frequency difference exists, e.g for n = 0, the hologram corresponds to the speckle associated to the diffused photons. The hologram linked to the tagged-photons is obtained when the difference is ωUS, e.g for n = 1. Whatever the selected photons, the time evolution f(t) of the interference illumination pattern is smoothed by the convolution of the photorefractive response of the crystal, and thus becomes the response of the hologram. The photorefractive response of the crystal can be in many cases approximated by a single exponential growth [27]:

G(z,t)=γzetτPRτPR

where z represents the main axis propagation inside the crystal while γ stands for the photorefractive gain. The build-up of the photorefractive effect has a characteristic rate (e.g 1/τPR) which depends on the intrinsic properties of the crystal, but also on the total flux density (W/cm 2) of the beams overlapping within the volume [28]. This means that the crystal plays the role of a low-pass filter in the frequency domain, with a cut-off frequency ωc = 1/τPR. When the flux of the reference beam is weak, the response of the crystal is very slow compared to the modulation ωmod : the hologram is mainly static, and thus proportional to the mean value of f(t), e.g < f(t) >. This is the reason why under a low frequency phase modulation of the US (1kHz), we initially applied a rectangular shape [0,π] with a non zero mean value (a cyclic ratio x ≃ 0.25 has been chosen to optimize a lock-in detection) [16]. The situation is slightly different if one deals with in vivo imaging, because ωc and ωmod will have the same magnitude: though filtered, the hologram can now follow this frequency. We will see now how to use this property to measure τPR in situ in the case of n = 0.

3. Frequency shift dependence of the acousto-optic response

Let us consider for a sake of clarity a single path i within the medium traveled by the nth component of the acousto-optic field (main frequency ωn = ω 0 + US). Since the fields associated to the different pathes are random in phase, the contribution on the surface of the detector of their interference with the diffracted reference will add incoherently. Thus, conclusions drawn on the time evolution of the signal related to a single path will remain the same for the entire signal.

Let us consider the field diffused along the path i as a scalar quantity ES,i(r,t) since we will use in the following a linearly polarized beam E R(r,t) as reference. The former can be developed into harmonic components n as following :

ES,i(r,t)=nES,iωn(r,t)

If we decompose the travel path length si into a static broad distribution (s i0 >> λ) and a time varying contribution δsi(t), we can write the field component E ωn S,i according to Eq. (12) of [21]:

ES,iωn(r,t)=ai(r)ei(r)Jn(βi(t))e0tejnωUStejn(ϕi(t)+π2)

where βi(t) = 2π/λsi(t)| and ϕi(t) = argsi(t)) depend on the acoustic pressure in case of an ultrasonic excitation, while ai(r) characterizes the optical contrast, and θi(r) = 2π/λs i0(r) is random and evenly distributed over [0..2π]. To detect EωnS,i , the frequency of the plane wave reference beam (or PR pump beam) must be close to ωn. In presence of a frequency shift Δω the pump beam can be written as:

ER(r,t)=E0ej(ω0+US)tejΔωt

The time varying photorefractive index Δn(r,t) (hologram) inside the PR crystal is proportional to the modulation depth of the interference pattern convoluted by the temporal response of the crystal. We have thus:

Δn(r,t)=(ES,iωn(r,t)ER*(r,t)ES,iωn(r,t)ES,i*ωn(r,t)+ER(r,t)ER*(r,t))*G(z,t)

where ”*” denotes a convolution product with respect to time t. When the reference is much larger than the signal beam, the previous expression can be simplified into :

Δn(r,t)ηai(r)ejθi(r)E0(Jn(βi(t))ejn(ϕi(t)+π2)ejΔωt)*(etτPRτPR)
 

Fig. 1. Spatio-temporal principle for a self-adaptive wavefront holography using a photore-fractive crystal with time constant τPR. As mentionned in section 3, the interference pattern between the signal ES(r,t) and the reference ER(r,t) beam is recorded within the crystal via its refractive index Δn(r,t): the reference beam diffracts a spatial replica of the signal ED(r,t), smoothed in time by the finite photorefractive time establishment.

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where η = γz stands for the diffraction efficiency of the photorefractive effect. As seen above, the photorefractive response of the crystal is characteristic of a low-pass frequency filter: the response of the system to a monochromatic excitation is linear, but it can be damped and phase-shifted if the frequency is close or superior to the cut-off frequency of the filter. In the particular case here of Eq. (8), the refractive index exhibits a shift in frequency of -Δω. The pump beam (frequency ωn + Δω) diffracted by the PR hologram yields a diffracted beam ED,i(r,t) = Δn(r,t)ER(r,t) ; its main frequency is consequently the same as the signal beam e.g ωn and thus independent of Δω since we can write :

ED,i,Δωωn(r,t)=ηai(r)ei(r)[(Jn(βi(t))ejn(ϕi(t)+π2)ejΔωt)*(etτPRτPR)]ej(ω0+US)tejΔωt

Though out of the scope the paper, the development of Eq. (9) in the general case shows that Eωn D, iω evolves at ωn and that its magnitude and phase depend on Δω. This last remark is important and shows that it is possible to measure the acousto-optic signal as a function of Δω in using for example a detection at a single frequency (e.g with a lock-in detection). Moreover, the Δω spectrum that can be obtained is not sensitive to the finite frequency response of the detection chain.

This last expression also demonstrates the major topic of the technique : the spatial variations (amplitude and phase) of components Eωn D,iΔω(r,t) and EωnS,i (r,t) are coherent. As a generalization, the speckle field at the output of the sample (e.g summation over i) builds a wavefront adapted reference that can interfere coherently onto a single detector [21], thus providing a simple solution to measure in real time the acousto-optic signal.

We will consider now that the ultrasonic excitation is periodically modulated at frequency ωmod. This modulation is either a pure phase modulation (PM) or pure amplitude modulation (AM) with a modulation factor H(t). According to Eq. (35) of [21], βi(t) and ϕi(t) become :

βi(t)=HAM(t)βi

or

ϕi(t)=ϕi+HPM(t)

To develop in a generic way EωnS,i (r,t), let us introduce the Fourier’s expansion of Jn(βi) e-jnϕi (i.e. the expansion of HAM(t) or HPM(t)) as follows:

ejnϕi(t)Jn(βi(t))=pci,n,pejpωmodt
 

Fig. 2. Simulation of the response S Δω ωmod for different τPR, with a rectangular [0,π] phase modulation of the US excitation and a cyclic ratio of 25%

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One get then from Eq. (5):

ES,iωn,p(r,t)=ai(r)ei(r)ejn(ϕi+π2)e0tejnωUStpci,n,pejnωmodt

where i, n and p are, as mentioned above, the travel pass index, the US frequency (ωUS) harmonic index and the modulation frequency (ωmod) harmonic index respectively. Taking into account the convolution product within Eq. (8), we can write the diffracted signal (Eq.(9)) as follows:

ED,i,Δωωn,p(r,t)=ηai(r)ejθi(r)ejn(θi+π2)e0tejnωUStpci,n,p(r)1+j(pωmodΔω)τPRejpωmodt

This last expression exhibits more specifically how each frequency component of Δn(r,t), e.g (modω) is smoothed and phase shifted by the low-pass filter associated to the photore-fractive effect inside the crystal (see Eq. (3)). The AO signal S Δω i,n (t) measured by the photo-detector results from the interferences between the ES and ED fields. We get:

Si,nΔω(t)=Re[2ES,i*ωn(r,t)ED,i,Δωωn(r,t)]=2ηai2(r)Re[k,pci,n,k*ci,n,pej(pk)ωmodt1+j(modΔω)τPR]

where Re is the real part operator. This last expression shows a dependency of the signal with τPR but also with the frequency de-tuning Δω of the reference. In addition, resonances will occur when the de-tuning matches an harmonic of the modulation, e.g Δωmod.

As an example, we have considered a pure rectangular phase modulation of the US with a 25% cyclic ratio and a lock-in detection at ωmod, what fixes the coefficient ci,n,k. In Eq. (15), the k - p = ±1 terms are thus only considered. We have calculated the signal for the US harmonic component n=1 for different values of τPR as a function of Δω. The Δω spectra are shown on Fig. 2. As seen, the shapes of the spectra are quite complicated and the extraction of tPR from the measurement of S Δω i,n (t) is a priori not straightforward.

4. Lock-in detection of the signal with an amplitude modulated ultrasonic excitation

Let us consider at present a rectangular (AM) ultrasonic excitation the US at frequency ωmod with a cyclic ratio x:

HAM(t)=Rect(txT)*mδ(tmT)

where Rect and δ are the rectangle and Dirac functions and T = 2π/ωmod the modulation period. We will consider the field associated to the diffused photons, e.g n = 0. Eq. (12) becomes:

J0(βiHAM(t))pci,0,pejpωmodt=1+(J0(βi)1)pxsinc(pπx)ejpπxejpωmodt

so we get the expansion coefficients c i,0,p that are needed to calculate S Δω i,0 (t) with Eq. (15):

ci,0,0=(1x)+xJ0(βi)
ci,0,p0=x(J0(βi)1)sinc(pπx)ejpπx

We will consider a lock-in detection operating at ωmod so that k - p = ±1, and a symmetric rectangular shape modulation HAM(t), e.g for x = 1/2. The coefficients c i, 0, k vanish for k = ±2, ±4… (because sinc(/2) is zero). In Eq. (15), the only terms that contribute to the signal are thus k = 0,p = ±1 and p = 0,k = ±1 as all other harmonics are even and thus verifies k - p ≥ 2. The lock-in detection used with a symmetric [0,1] rectangular-shape reference measures the P and Q quadrature components of the signal as follows :

P(Δω)=si,0Δω(t)cos(ωmodtπ2)dt
Q(Δω)=Si,0Δω(t)sin(ωmodtπ2)dt

The development of Pω) component exhibits three contributions Pω) = P 0 + P + + P - while Qω) contains two terms Qω) = Q + + Q -, as defined below :

P0(Δω)=2Ai,0(1+ΔωτPR)2
P±(Δω)=Ai,01+(ωmodΔω)2τPR2
Q±(Δω)=Ai,01+(ωmodΔω)2τPR2(ωmodΔω)τPR

where

Ai,0=1πηai2(r)[1+12(J0(βi)1)][J0(βi)1]

The lock-in signals can also been expressed by a magnitude R and a phase φ (with PR sin φ and QRcos φ) that is written in our case :

R(Δω)=P2(Δω)+Q2(Δω)
tanφ(Δω)=P(Δω)Q(Δω)
 

Fig. 3. Experimental setup : (L) 1W Nd:YAG laser, (OA) 5W Yb-doped optical amplifier, (OI) optical Faraday isolator, (HW) half-wave plate, (AMO1,2) acousto-optic modualtor, (W) water tank, (PBS) polarizing beam-splitter, (T) acoustic-transducer, (PR) photorefractive GaAs crystal, (LP) linear polarizer, (L1,2) wide aperture collection lenses, (D) ϕ= 5mm InGaAs photodiode.

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If the modulation frequency ωmod is high enough compared with 1/τPR, Rω) exhibits three well separated resonances (Δω) = 0, ± ωmod) that allow an easy measurement of τPR. The central line (Δω) ≃ 0) is related to P 0ω). It has a lorentzian shape with a FWHM = 2/τPR. The sidebands (Δω ≃ ±ωmod) are related to P2(Δω)+Q2(Δω). They are square root lorentzian, with FWHM = 2√3/ τPR.

The slope measurement of tanφ(Δω) near a sideband is also a possible way to determine τPR since we have according to Eq. (23) and Eq. (24):

tanφ±(Δω±ωmod)P±(Δω)Q±(Δω)(ωmodΔω)τPR

5. Experimental and results

The experimental configuration of the setup has been described in details elsewhere [16, 21] but let us recall the main features. We have built a Mach-Zehnder interferometer, where the recombination plate is a massive GaAs photorefractive crystal. The source (L) is a single mode frequency 1Watt Nd:YAG laser working at 1064nm (CrystaLaser corp.). Part of this laser (150mW) can be injected into an ytterbium-doped fiber (OA) amplifier (Keopsys corp.) to produce a 5Watt source, still working at a single mode frequency. The addition of this element gives the opportunity to enlarge the power on the reference beam in order to reduce τPR. This will allow an ultrasonic modulation at higher frequency and thus use ultrasound in a pulsed regime.

We have chosen a 10cm thick solution of 20% intralipid to produce a scattering medium with no decorrelation. Two types of crystals have been considered, both oriented for a specific energy transfer configuration. Theses crystals come from the same ingot and we have measured an absorption coefficient α= 1.5cm -1@1064nm. The first type has (110), (1-10) and (001) faces. The signal and the reference beams enter the (110) face (size 1.4 × 2cm 2) and propagate along the < 001 > direction (thickness 1.4cm). In the second type crystal, the signal and the reference beams enter onto orthogonal faces, respectively (11√2) and (11 - √2) (size 1.4 × 1.6cm 2), in order to have a grating vector along the < 001 > direction. Both signal and reference beam propagate through a thickness of 1.6cm within the crystal. In both crystal, the associated effective electro-optic coefficient is |reff| = r 41 and from a practical point of view, they exhibit approximately the same energy transfer efficiency (e.g η = 25 – 35%). However, for semiconductors crystals, the response time τPR is known to be shorter for small angles between the beams (i.e for a small grating vector K g) and thus a co-directional configuration should respond faster that an orthogonal one [28]. Nevertheless, with a high enough reference intensity, the second type configuration could still be attractive because the reference inputs on a face orthogonal to the signal propagation, and thus it should produce less scattered light onto the InGaAs photo-detector (D) (ϕ = 5mm). A linear infrared gelatin polarizer (LP) has been positioned in front of the photo-detector, its axis being aligned along the reference beam polarization, which is vertical in our case. Since light at the output of the sample is completely depolarized by the scattering medium, it will suppress the field of orthogonal polarization (diffused and tagged), that do not participate to the interference signal, and thus enhance the signal-to-noise ratio (SNR). The excitation of the acoustic source is at a frequency of 2MHz, and we add a phase or an amplitude modulation at ωmod ≃ 2.5kHz in order to have a reasonable separation between the three resonances of Rω). Finally, measurement of the signal is performed with a lockin detection using an EG&G 7260 model. We have put on each arm of the interferometer an acousto-optic modulator, that typically shifts the laser frequency of 78MHz, and we add a low frequency shift Δω on the reference in order to perform our measurements. When diffused photons are selected, each beam is shifted from 78MHz, but if tagged-photons are selected, the reference beam is shifted from 80MHz, while the signal is shifted from 78MHz.

Figure 4 shows for R(4.a,4.b), φ(4.c,4.d), P(4.e,4.f), Q(4.g,4.h), the acousto-optical response with a lock-in detection at 2.5kHz as a function of Δω taken with the static scattering medium of 10cm thick and comparable flux (e.g 300mW/cm 2). As it is shown on the figures, fits can easily be performed on these spectra using the expression of P, Q, R depicted above, meaning that the simplified model of a single exponential growth remains valid here, even though we use a thick, and thus, absorbing sample [27]. The data (P,Q) shown on Fig. 4 represent each an acquisition time close to an hour; this explains the weak deviation between theory and experiment encountered for R(4.b), P(4.f), and Q(4.h), due to a plausible drift of the various experimental parameters (laser source). This long acquisition time has been chosen here to collect a great number of data in order to validate the method and the analytical development. This time can significantly be reduced from a practical point of view, firstly because it is not necessary to performe these measurements for each position of the US. Secondly, a scan close to the resonance peaks, with a reduced time constant of the detection is still possible, since there is no need to measure τPR with a high accuracy. The fit of φ deviates significantly from theory outside resonances : this comes from the ratio nature of φ, that diverges when quantities become close to zero. We deduce from fit τPR = 0.5ms for the co-directional case, while we find τPR = 2.2ms in the orthogonal configuration. As expected, the first configuration is faster, but we have not already checked which solution could provide the best SNR in order to perform in vivo measurements. We have observed in some situations that the resonance shapes could deviate from theory, in the way that peaks can become sharper than expected. Such a point has already been reported by Brost et al [24] and occurs when the intensity profile of the beams (in particular the reference beam) is not uniform : in this case, one has to deal with a local intensity within the crystal, that induces a local τPR. Experimental shapes can still be fitted in considering τPR as a distribution within the crystal instead of a single value. But still, when the beam section is close to the input face of the crystal, this deviation is not significative, as shown in Fig. 4. The plots in Fig. 5 show the linear evolution of 1/τPR as a function of the flux density of the reference beam, consistent with the standard Kukhtarev’s model for photorefractivity [28]. The smallest value of τPR = 0.25ms has been obtained in the co-directional configuration with a pump beam of 560mW/cm 2. According to Fig. 5, an extrapolation of the orthogonal-pumping measurements to this value should give a τPR of about 1 ms.

 

Fig. 4. Example of a lock-in measurement at 2.5kHz of the acousto-optic normalized response for a diluted scattering liquid as a function of a frequency shift Δω/2π of the reference beam. The left column represents spectra (a,c,e,g) that have been obtained for an orthogonal pumping configuration with an incident flux of 240mW/cm 2, while the right column (b,d, f ,h) corresponds to a co-directional pumping with an incident flux of 300mW/cm 2. From top to bottom, each line corresponds respectively to Rω), φ(Δω), Pω), Qω) quantities, as defined in section 4. The width of the resonance peaks is connected to 1/τPR. Experimental data are black and theoretical fit prediction with a single parameter τPR is red (see text for details).

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Fig. 5. Plot of the photorefractive response time τPR as a function of the incident intensity for a co-directional (type I crystal) or an orthogonal pumping configuration (type II crystal).

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6. Conclusion

The speckle decorrelation time in living tissues affects the contrast when coherent optical measurements are performed. We have built an holographic setup that adapts the reference beam to the speckle output of the sample using a GaAs photorefractive crystal working in an energy transfer configuration with co-directional or orthogonal pumping. We have developed an original method that measures in situ the photorefractive response time of the crystal, that depends on the total flux density within the crystal volume. It is based on a lock-in detection with a symmetric amplitude excitation of the ultrasound plus a frequency detuning of the reference beam performed with acousto-optic modulators. This method is not sensitive to the frequency response of the detection. We are able at present to have a response time as short as 0.25ms with an intensity of the reference of 560mW/cm 2, which will be compatible with fluctuations encountered during future in vivo imaging. A systematic study of the SNR as a function of the different parameters of the experiment (e.g τPR, τc, ωmod) needs to be performed in order to optimize the quality of future acousto-optic tomographies.

Acknowledgments

This work is currently supported by a grant from the project Cancéropôle Ile-de-France.

References and links

1. A.P. Gibson, J.C. Hebden, and S.R. Arridge, “Recent advances in diffuse optical imaging,” Phys. Med. Biol 50,1–43 (2005). [CrossRef]  

2. L.H. Wang, S.L. Jacques, and X. Zhao, “Continuous wave ultrasonic modulation of scattered light to image objcets in turbid media,” Opt. Lett. 20,629 (1995). [CrossRef]   [PubMed]  

3. W. Leutz and G. Maret, “Ultrasonic modulation of multiply scattered light,” Physica B 204,14 (1995). [CrossRef]  

4. L. Wang, “Mechanisms of ultrasonic modulation of multiply scattered coherent light: a analytic model,” Phys. Rev. Lett. 87,1 (2001). [CrossRef]  

5. M. Kempe, M. Larionov, D. Zaslavsky, and A. Z. Genack, “Acousto-optic tomography with multiple scattered light,” J. Opt. Soc. Am. B 14,1151–1158 (1997). [CrossRef]  

6. A. Lev and B. Sfez, “In vivo demonstration of ultrasound-modulated light technique,” J. Opt. Soc. Am. A 20,2347–2354 (2003). [CrossRef]  

7. M. Gross, P. Goy, B. C. Forget, M. Atlan, F. Ramaz, A. C. Boccara, and A. K. Dunn, “Heterodyne detection of multiply scattered monochromatic light with a multipixel detector,” Opt. Lett. 30,1357 (2005). [CrossRef]   [PubMed]  

8. C. Ayata, A.K. Dunn, Y. Gursoy-Ozdemir, Z. Huang, D.A. Boas, and M.A. Moskowitz, “Laser Speckle Flowmetry for the Study of Cerebrovascular Physiology in Normal and Ischemic Mouse Cortex,” J. Cereb. Blood Flow Metab. 24,744–755 (2004). [CrossRef]   [PubMed]  

9. M. Atlan, M. Gross, T. Vitalis, A. Rancillac, B. C. Forget, and A. K. Dunn, “Frequency-domain, wide-field laser doppler in vivo imaging,” Opt. Lett. submitted 3/21/2006, accepted for publication (2006).

10. A. Lev, Z. Kotler, and B. Sfez, “Ultrasound tagged light imaging in turbid media in a reflectance geometry,” Opt. Lett. 25,378 (2000). [CrossRef]  

11. A. L. an and B. G. Sfez, “Direct, noninvasive detection of photon density in turbid media,” Opt. Lett. 27,473 (2002). [CrossRef]  

12. M. Gross, P. Goy, and M. Al-Koussa, “Shot-noise detection of ultrasound-tagged photons in ultrasound-modulated optical imaging,” Opt. Lett. 28,2482–2484 (2003). [CrossRef]   [PubMed]  

13. M. Atlan, B.C. Forget, F. Ramaz, A.C. Boccara, and M. Gross, “Pulsed acousto-optic imaging in dynamic scattering media with heterodyne parallel speckle detection,” Opt. Lett. 30,1360–1362 (2005). [CrossRef]   [PubMed]  

14. G. Yao and L.V. Wang, “theoretical and experimental studies of ultrasound modulated optical tomography in biological tissues,” Appl. Opt. 39,659 (2000). [CrossRef]  

15. S. Lévêque, A. C. Boccara, M. Lebec, and H. Saint-Jalmes, “Ultrasonic tagging of photon paths in scattering media: parallel speckle modulation processing,” Opt. Lett. 24,181 (1999). [CrossRef]  

16. F. Ramaz, B. C. Forget, M. Atlan, A. C. Boccara, M. Gross, P. Delaye, and G. Roosen, “Photorefractive detection of tagged photons in ultrasound modulated optical tomography of thick biological tissues,” Opt. Express 12,5469–5474 (2004). [CrossRef]   [PubMed]  

17. T. W. Murray, L. Sui, G. Maguluri, R. A. Roy, A. Nieva, F. Blonigen, and C. A. DiMarzio, “Detection of ultrasound-modulated photons in diffuse media using the photorefractive effect,” Opt. Lett. 29,2509 (2004). [CrossRef]   [PubMed]  

18. E. Bossy, L. Sui, T. W. Murray, and R. A. Roy, “Fusion of conventional ultrasound imaging and acousto-optic sensing by use of a standard pulsed-ultrasound scanner,” Opt. Lett. 30,744 (2005). [CrossRef]   [PubMed]  

19. F. J. Blonigen, A. Nieva, C. DiMarzio, S. Manneville, L. Sui, G. Maguluri, T. W. Murray, and R. A. Roy, “Computations of the acoustically induced phase shifts of optical paths in acoustophotonic imaging with photorefractive-based detection,” Appl. Opt. 44,3735 (2005). [CrossRef]   [PubMed]  

20. L. Sui, R. A. Roy, C. DiMarzio, and T. W. Murray, “Imaging in diffuse media with pulsed-ultrasound-modulated light and the photorefractive effect,” Appl. Opt. 44,4041 (2005). [CrossRef]   [PubMed]  

21. M. Gross, F. Ramaz, B. C. Forget, M. Atlan, A. C. Boccara, P. Delaye, and G. Roosen, “Theoretical description of the photorefractive detection of the ultrasound modulated photons in scattering media,” Opt. Express 13,7097–7112 (2005). [CrossRef]   [PubMed]  

22. S. Bian and J. Frejlich, “Photorefractive response time measurement in GaAs crystals by phase modulation in two wave mixing,” Opt. Lett. 19,1702–1704 (1994) [CrossRef]   [PubMed]  

23. B. Sugg, K.V. Shcherbin, and J. Frejlich, enquoteDetermination of the time constant of fast photorefarctive materials using the phase modulation technique, Appl. Phys. Lett. 66,3257–3259 (1995). [CrossRef]  

24. G. Brost, J. Norman, S. Odoulov, K. Shcherbin, A. Shumelyuk, and V. Tarano, “Gain Spectra of beam coupling in photorefractive semiconductors,” J. Opt. Soc. Am. B ,15,2083–2091 (1998). [CrossRef]  

25. P. Delaye, S. de Rossi, and G. Roosen, “High amplitude vibrations detection on rough surfaces using a photorefractive velocimeter,” Opt. and Las. in Eng. 33335–347 (2000). [CrossRef]  

26. B. Campagne, A. Blouin, L. Pujol, and J.P. Monchalin, “Compact and fast response ultrasonic detection device based on two-wave mixing in a gallium arsenide photorefractive crystal,” Rev. Sc. Inst. 72 5,2478–2482 (2001). [CrossRef]  

27. P. Delaye, L. A. de Montmorillon, and G. Roosen, “Transmission of time modulated optical signals through an absorbing photorefractive crystal,” Opt. Commun. 118,154 (1995). [CrossRef]  

28. P. Yeh, “Introduction to Photorefractive Nonlinear Optics” Wiley eds, ISBN: 0-471-58692-7.

References

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  • |

  1. A.P. Gibson, J.C. Hebden, and S.R. Arridge, “Recent advances in diffuse optical imaging,” Phys. Med. Biol 50,1–43 (2005).
    [Crossref]
  2. L.H. Wang, S.L. Jacques, and X. Zhao, “Continuous wave ultrasonic modulation of scattered light to image objcets in turbid media,” Opt. Lett. 20,629 (1995).
    [Crossref] [PubMed]
  3. W. Leutz and G. Maret, “Ultrasonic modulation of multiply scattered light,” Physica B 204,14 (1995).
    [Crossref]
  4. L. Wang, “Mechanisms of ultrasonic modulation of multiply scattered coherent light: a analytic model,” Phys. Rev. Lett. 87,1 (2001).
    [Crossref]
  5. M. Kempe, M. Larionov, D. Zaslavsky, and A. Z. Genack, “Acousto-optic tomography with multiple scattered light,” J. Opt. Soc. Am. B 14,1151–1158 (1997).
    [Crossref]
  6. A. Lev and B. Sfez, “In vivo demonstration of ultrasound-modulated light technique,” J. Opt. Soc. Am. A 20,2347–2354 (2003).
    [Crossref]
  7. M. Gross, P. Goy, B. C. Forget, M. Atlan, F. Ramaz, A. C. Boccara, and A. K. Dunn, “Heterodyne detection of multiply scattered monochromatic light with a multipixel detector,” Opt. Lett. 30,1357 (2005).
    [Crossref] [PubMed]
  8. C. Ayata, A.K. Dunn, Y. Gursoy-Ozdemir, Z. Huang, D.A. Boas, and M.A. Moskowitz, “Laser Speckle Flowmetry for the Study of Cerebrovascular Physiology in Normal and Ischemic Mouse Cortex,” J. Cereb. Blood Flow Metab. 24,744–755 (2004).
    [Crossref] [PubMed]
  9. M. Atlan, M. Gross, T. Vitalis, A. Rancillac, B. C. Forget, and A. K. Dunn, “Frequency-domain, wide-field laser doppler in vivo imaging,” Opt. Lett. submitted 3/21/2006, accepted for publication (2006).
  10. A. Lev, Z. Kotler, and B. Sfez, “Ultrasound tagged light imaging in turbid media in a reflectance geometry,” Opt. Lett. 25,378 (2000).
    [Crossref]
  11. A. L. an and B. G. Sfez, “Direct, noninvasive detection of photon density in turbid media,” Opt. Lett. 27,473 (2002).
    [Crossref]
  12. M. Gross, P. Goy, and M. Al-Koussa, “Shot-noise detection of ultrasound-tagged photons in ultrasound-modulated optical imaging,” Opt. Lett. 28,2482–2484 (2003).
    [Crossref] [PubMed]
  13. M. Atlan, B.C. Forget, F. Ramaz, A.C. Boccara, and M. Gross, “Pulsed acousto-optic imaging in dynamic scattering media with heterodyne parallel speckle detection,” Opt. Lett. 30,1360–1362 (2005).
    [Crossref] [PubMed]
  14. G. Yao and L.V. Wang, “theoretical and experimental studies of ultrasound modulated optical tomography in biological tissues,” Appl. Opt. 39,659 (2000).
    [Crossref]
  15. S. Lévêque, A. C. Boccara, M. Lebec, and H. Saint-Jalmes, “Ultrasonic tagging of photon paths in scattering media: parallel speckle modulation processing,” Opt. Lett. 24,181 (1999).
    [Crossref]
  16. F. Ramaz, B. C. Forget, M. Atlan, A. C. Boccara, M. Gross, P. Delaye, and G. Roosen, “Photorefractive detection of tagged photons in ultrasound modulated optical tomography of thick biological tissues,” Opt. Express 12,5469–5474 (2004).
    [Crossref] [PubMed]
  17. T. W. Murray, L. Sui, G. Maguluri, R. A. Roy, A. Nieva, F. Blonigen, and C. A. DiMarzio, “Detection of ultrasound-modulated photons in diffuse media using the photorefractive effect,” Opt. Lett. 29,2509 (2004).
    [Crossref] [PubMed]
  18. E. Bossy, L. Sui, T. W. Murray, and R. A. Roy, “Fusion of conventional ultrasound imaging and acousto-optic sensing by use of a standard pulsed-ultrasound scanner,” Opt. Lett. 30,744 (2005).
    [Crossref] [PubMed]
  19. F. J. Blonigen, A. Nieva, C. DiMarzio, S. Manneville, L. Sui, G. Maguluri, T. W. Murray, and R. A. Roy, “Computations of the acoustically induced phase shifts of optical paths in acoustophotonic imaging with photorefractive-based detection,” Appl. Opt. 44,3735 (2005).
    [Crossref] [PubMed]
  20. L. Sui, R. A. Roy, C. DiMarzio, and T. W. Murray, “Imaging in diffuse media with pulsed-ultrasound-modulated light and the photorefractive effect,” Appl. Opt. 44,4041 (2005).
    [Crossref] [PubMed]
  21. M. Gross, F. Ramaz, B. C. Forget, M. Atlan, A. C. Boccara, P. Delaye, and G. Roosen, “Theoretical description of the photorefractive detection of the ultrasound modulated photons in scattering media,” Opt. Express 13,7097–7112 (2005).
    [Crossref] [PubMed]
  22. S. Bian and J. Frejlich, “Photorefractive response time measurement in GaAs crystals by phase modulation in two wave mixing,” Opt. Lett. 19,1702–1704 (1994)
    [Crossref] [PubMed]
  23. B. Sugg, K.V. Shcherbin, and J. Frejlich, enquoteDetermination of the time constant of fast photorefarctive materials using the phase modulation technique, Appl. Phys. Lett. 66,3257–3259 (1995).
    [Crossref]
  24. G. Brost, J. Norman, S. Odoulov, K. Shcherbin, A. Shumelyuk, and V. Tarano, “Gain Spectra of beam coupling in photorefractive semiconductors,” J. Opt. Soc. Am. B, 15,2083–2091 (1998).
    [Crossref]
  25. P. Delaye, S. de Rossi, and G. Roosen, “High amplitude vibrations detection on rough surfaces using a photorefractive velocimeter,” Opt. and Las. in Eng. 33335–347 (2000).
    [Crossref]
  26. B. Campagne, A. Blouin, L. Pujol, and J.P. Monchalin, “Compact and fast response ultrasonic detection device based on two-wave mixing in a gallium arsenide photorefractive crystal,” Rev. Sc. Inst. 72 5,2478–2482 (2001).
    [Crossref]
  27. P. Delaye, L. A. de Montmorillon, and G. Roosen, “Transmission of time modulated optical signals through an absorbing photorefractive crystal,” Opt. Commun. 118,154 (1995).
    [Crossref]
  28. P. Yeh, “Introduction to Photorefractive Nonlinear Optics” Wiley eds, ISBN: 0-471-58692-7.

2005 (7)

A.P. Gibson, J.C. Hebden, and S.R. Arridge, “Recent advances in diffuse optical imaging,” Phys. Med. Biol 50,1–43 (2005).
[Crossref]

M. Gross, P. Goy, B. C. Forget, M. Atlan, F. Ramaz, A. C. Boccara, and A. K. Dunn, “Heterodyne detection of multiply scattered monochromatic light with a multipixel detector,” Opt. Lett. 30,1357 (2005).
[Crossref] [PubMed]

M. Atlan, B.C. Forget, F. Ramaz, A.C. Boccara, and M. Gross, “Pulsed acousto-optic imaging in dynamic scattering media with heterodyne parallel speckle detection,” Opt. Lett. 30,1360–1362 (2005).
[Crossref] [PubMed]

E. Bossy, L. Sui, T. W. Murray, and R. A. Roy, “Fusion of conventional ultrasound imaging and acousto-optic sensing by use of a standard pulsed-ultrasound scanner,” Opt. Lett. 30,744 (2005).
[Crossref] [PubMed]

F. J. Blonigen, A. Nieva, C. DiMarzio, S. Manneville, L. Sui, G. Maguluri, T. W. Murray, and R. A. Roy, “Computations of the acoustically induced phase shifts of optical paths in acoustophotonic imaging with photorefractive-based detection,” Appl. Opt. 44,3735 (2005).
[Crossref] [PubMed]

L. Sui, R. A. Roy, C. DiMarzio, and T. W. Murray, “Imaging in diffuse media with pulsed-ultrasound-modulated light and the photorefractive effect,” Appl. Opt. 44,4041 (2005).
[Crossref] [PubMed]

M. Gross, F. Ramaz, B. C. Forget, M. Atlan, A. C. Boccara, P. Delaye, and G. Roosen, “Theoretical description of the photorefractive detection of the ultrasound modulated photons in scattering media,” Opt. Express 13,7097–7112 (2005).
[Crossref] [PubMed]

2004 (3)

2003 (2)

2002 (1)

2001 (2)

L. Wang, “Mechanisms of ultrasonic modulation of multiply scattered coherent light: a analytic model,” Phys. Rev. Lett. 87,1 (2001).
[Crossref]

B. Campagne, A. Blouin, L. Pujol, and J.P. Monchalin, “Compact and fast response ultrasonic detection device based on two-wave mixing in a gallium arsenide photorefractive crystal,” Rev. Sc. Inst. 72 5,2478–2482 (2001).
[Crossref]

2000 (3)

1999 (1)

1998 (1)

1997 (1)

M. Kempe, M. Larionov, D. Zaslavsky, and A. Z. Genack, “Acousto-optic tomography with multiple scattered light,” J. Opt. Soc. Am. B 14,1151–1158 (1997).
[Crossref]

1995 (4)

L.H. Wang, S.L. Jacques, and X. Zhao, “Continuous wave ultrasonic modulation of scattered light to image objcets in turbid media,” Opt. Lett. 20,629 (1995).
[Crossref] [PubMed]

W. Leutz and G. Maret, “Ultrasonic modulation of multiply scattered light,” Physica B 204,14 (1995).
[Crossref]

B. Sugg, K.V. Shcherbin, and J. Frejlich, enquoteDetermination of the time constant of fast photorefarctive materials using the phase modulation technique, Appl. Phys. Lett. 66,3257–3259 (1995).
[Crossref]

P. Delaye, L. A. de Montmorillon, and G. Roosen, “Transmission of time modulated optical signals through an absorbing photorefractive crystal,” Opt. Commun. 118,154 (1995).
[Crossref]

1994 (1)

Al-Koussa, M.

an, A. L.

Arridge, S.R.

A.P. Gibson, J.C. Hebden, and S.R. Arridge, “Recent advances in diffuse optical imaging,” Phys. Med. Biol 50,1–43 (2005).
[Crossref]

Atlan, M.

Ayata, C.

C. Ayata, A.K. Dunn, Y. Gursoy-Ozdemir, Z. Huang, D.A. Boas, and M.A. Moskowitz, “Laser Speckle Flowmetry for the Study of Cerebrovascular Physiology in Normal and Ischemic Mouse Cortex,” J. Cereb. Blood Flow Metab. 24,744–755 (2004).
[Crossref] [PubMed]

Bian, S.

Blonigen, F.

Blonigen, F. J.

Blouin, A.

B. Campagne, A. Blouin, L. Pujol, and J.P. Monchalin, “Compact and fast response ultrasonic detection device based on two-wave mixing in a gallium arsenide photorefractive crystal,” Rev. Sc. Inst. 72 5,2478–2482 (2001).
[Crossref]

Boas, D.A.

C. Ayata, A.K. Dunn, Y. Gursoy-Ozdemir, Z. Huang, D.A. Boas, and M.A. Moskowitz, “Laser Speckle Flowmetry for the Study of Cerebrovascular Physiology in Normal and Ischemic Mouse Cortex,” J. Cereb. Blood Flow Metab. 24,744–755 (2004).
[Crossref] [PubMed]

Boccara, A. C.

Boccara, A.C.

Bossy, E.

Brost, G.

Campagne, B.

B. Campagne, A. Blouin, L. Pujol, and J.P. Monchalin, “Compact and fast response ultrasonic detection device based on two-wave mixing in a gallium arsenide photorefractive crystal,” Rev. Sc. Inst. 72 5,2478–2482 (2001).
[Crossref]

de Montmorillon, L. A.

P. Delaye, L. A. de Montmorillon, and G. Roosen, “Transmission of time modulated optical signals through an absorbing photorefractive crystal,” Opt. Commun. 118,154 (1995).
[Crossref]

de Rossi, S.

P. Delaye, S. de Rossi, and G. Roosen, “High amplitude vibrations detection on rough surfaces using a photorefractive velocimeter,” Opt. and Las. in Eng. 33335–347 (2000).
[Crossref]

Delaye, P.

DiMarzio, C.

DiMarzio, C. A.

Dunn, A. K.

M. Gross, P. Goy, B. C. Forget, M. Atlan, F. Ramaz, A. C. Boccara, and A. K. Dunn, “Heterodyne detection of multiply scattered monochromatic light with a multipixel detector,” Opt. Lett. 30,1357 (2005).
[Crossref] [PubMed]

M. Atlan, M. Gross, T. Vitalis, A. Rancillac, B. C. Forget, and A. K. Dunn, “Frequency-domain, wide-field laser doppler in vivo imaging,” Opt. Lett. submitted 3/21/2006, accepted for publication (2006).

Dunn, A.K.

C. Ayata, A.K. Dunn, Y. Gursoy-Ozdemir, Z. Huang, D.A. Boas, and M.A. Moskowitz, “Laser Speckle Flowmetry for the Study of Cerebrovascular Physiology in Normal and Ischemic Mouse Cortex,” J. Cereb. Blood Flow Metab. 24,744–755 (2004).
[Crossref] [PubMed]

Forget, B. C.

Forget, B.C.

Frejlich, J.

B. Sugg, K.V. Shcherbin, and J. Frejlich, enquoteDetermination of the time constant of fast photorefarctive materials using the phase modulation technique, Appl. Phys. Lett. 66,3257–3259 (1995).
[Crossref]

S. Bian and J. Frejlich, “Photorefractive response time measurement in GaAs crystals by phase modulation in two wave mixing,” Opt. Lett. 19,1702–1704 (1994)
[Crossref] [PubMed]

Genack, A. Z.

M. Kempe, M. Larionov, D. Zaslavsky, and A. Z. Genack, “Acousto-optic tomography with multiple scattered light,” J. Opt. Soc. Am. B 14,1151–1158 (1997).
[Crossref]

Gibson, A.P.

A.P. Gibson, J.C. Hebden, and S.R. Arridge, “Recent advances in diffuse optical imaging,” Phys. Med. Biol 50,1–43 (2005).
[Crossref]

Goy, P.

Gross, M.

Gursoy-Ozdemir, Y.

C. Ayata, A.K. Dunn, Y. Gursoy-Ozdemir, Z. Huang, D.A. Boas, and M.A. Moskowitz, “Laser Speckle Flowmetry for the Study of Cerebrovascular Physiology in Normal and Ischemic Mouse Cortex,” J. Cereb. Blood Flow Metab. 24,744–755 (2004).
[Crossref] [PubMed]

Hebden, J.C.

A.P. Gibson, J.C. Hebden, and S.R. Arridge, “Recent advances in diffuse optical imaging,” Phys. Med. Biol 50,1–43 (2005).
[Crossref]

Huang, Z.

C. Ayata, A.K. Dunn, Y. Gursoy-Ozdemir, Z. Huang, D.A. Boas, and M.A. Moskowitz, “Laser Speckle Flowmetry for the Study of Cerebrovascular Physiology in Normal and Ischemic Mouse Cortex,” J. Cereb. Blood Flow Metab. 24,744–755 (2004).
[Crossref] [PubMed]

Jacques, S.L.

Kempe, M.

M. Kempe, M. Larionov, D. Zaslavsky, and A. Z. Genack, “Acousto-optic tomography with multiple scattered light,” J. Opt. Soc. Am. B 14,1151–1158 (1997).
[Crossref]

Kotler, Z.

Larionov, M.

M. Kempe, M. Larionov, D. Zaslavsky, and A. Z. Genack, “Acousto-optic tomography with multiple scattered light,” J. Opt. Soc. Am. B 14,1151–1158 (1997).
[Crossref]

Lebec, M.

Leutz, W.

W. Leutz and G. Maret, “Ultrasonic modulation of multiply scattered light,” Physica B 204,14 (1995).
[Crossref]

Lev, A.

Lévêque, S.

Maguluri, G.

Manneville, S.

Maret, G.

W. Leutz and G. Maret, “Ultrasonic modulation of multiply scattered light,” Physica B 204,14 (1995).
[Crossref]

Monchalin, J.P.

B. Campagne, A. Blouin, L. Pujol, and J.P. Monchalin, “Compact and fast response ultrasonic detection device based on two-wave mixing in a gallium arsenide photorefractive crystal,” Rev. Sc. Inst. 72 5,2478–2482 (2001).
[Crossref]

Moskowitz, M.A.

C. Ayata, A.K. Dunn, Y. Gursoy-Ozdemir, Z. Huang, D.A. Boas, and M.A. Moskowitz, “Laser Speckle Flowmetry for the Study of Cerebrovascular Physiology in Normal and Ischemic Mouse Cortex,” J. Cereb. Blood Flow Metab. 24,744–755 (2004).
[Crossref] [PubMed]

Murray, T. W.

Nieva, A.

Norman, J.

Odoulov, S.

Pujol, L.

B. Campagne, A. Blouin, L. Pujol, and J.P. Monchalin, “Compact and fast response ultrasonic detection device based on two-wave mixing in a gallium arsenide photorefractive crystal,” Rev. Sc. Inst. 72 5,2478–2482 (2001).
[Crossref]

Ramaz, F.

Rancillac, A.

M. Atlan, M. Gross, T. Vitalis, A. Rancillac, B. C. Forget, and A. K. Dunn, “Frequency-domain, wide-field laser doppler in vivo imaging,” Opt. Lett. submitted 3/21/2006, accepted for publication (2006).

Roosen, G.

Roy, R. A.

Saint-Jalmes, H.

Sfez, B.

Sfez, B. G.

Shcherbin, K.

Shcherbin, K.V.

B. Sugg, K.V. Shcherbin, and J. Frejlich, enquoteDetermination of the time constant of fast photorefarctive materials using the phase modulation technique, Appl. Phys. Lett. 66,3257–3259 (1995).
[Crossref]

Shumelyuk, A.

Sugg, B.

B. Sugg, K.V. Shcherbin, and J. Frejlich, enquoteDetermination of the time constant of fast photorefarctive materials using the phase modulation technique, Appl. Phys. Lett. 66,3257–3259 (1995).
[Crossref]

Sui, L.

Tarano, V.

Vitalis, T.

M. Atlan, M. Gross, T. Vitalis, A. Rancillac, B. C. Forget, and A. K. Dunn, “Frequency-domain, wide-field laser doppler in vivo imaging,” Opt. Lett. submitted 3/21/2006, accepted for publication (2006).

Wang, L.

L. Wang, “Mechanisms of ultrasonic modulation of multiply scattered coherent light: a analytic model,” Phys. Rev. Lett. 87,1 (2001).
[Crossref]

Wang, L.H.

Wang, L.V.

Yao, G.

Yeh, P.

P. Yeh, “Introduction to Photorefractive Nonlinear Optics” Wiley eds, ISBN: 0-471-58692-7.

Zaslavsky, D.

M. Kempe, M. Larionov, D. Zaslavsky, and A. Z. Genack, “Acousto-optic tomography with multiple scattered light,” J. Opt. Soc. Am. B 14,1151–1158 (1997).
[Crossref]

Zhao, X.

Appl. Opt. (3)

Appl. Phys. Lett. (1)

B. Sugg, K.V. Shcherbin, and J. Frejlich, enquoteDetermination of the time constant of fast photorefarctive materials using the phase modulation technique, Appl. Phys. Lett. 66,3257–3259 (1995).
[Crossref]

J. Cereb. Blood Flow Metab. (1)

C. Ayata, A.K. Dunn, Y. Gursoy-Ozdemir, Z. Huang, D.A. Boas, and M.A. Moskowitz, “Laser Speckle Flowmetry for the Study of Cerebrovascular Physiology in Normal and Ischemic Mouse Cortex,” J. Cereb. Blood Flow Metab. 24,744–755 (2004).
[Crossref] [PubMed]

J. Opt. Soc. Am. A (1)

J. Opt. Soc. Am. B (2)

G. Brost, J. Norman, S. Odoulov, K. Shcherbin, A. Shumelyuk, and V. Tarano, “Gain Spectra of beam coupling in photorefractive semiconductors,” J. Opt. Soc. Am. B, 15,2083–2091 (1998).
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Figures (5)

Fig. 1.
Fig. 1.

Spatio-temporal principle for a self-adaptive wavefront holography using a photore-fractive crystal with time constant τPR . As mentionned in section 3, the interference pattern between the signal ES (r,t) and the reference ER (r,t) beam is recorded within the crystal via its refractive index Δn(r,t): the reference beam diffracts a spatial replica of the signal ED (r,t), smoothed in time by the finite photorefractive time establishment.

Fig. 2.
Fig. 2.

Simulation of the response S Δω ωmod for different τPR , with a rectangular [0,π] phase modulation of the US excitation and a cyclic ratio of 25%

Fig. 3.
Fig. 3.

Experimental setup : (L) 1W Nd:YAG laser, (OA) 5W Yb-doped optical amplifier, (OI) optical Faraday isolator, (HW) half-wave plate, (AMO1,2) acousto-optic modualtor, (W) water tank, (PBS) polarizing beam-splitter, (T) acoustic-transducer, (PR) photorefractive GaAs crystal, (LP) linear polarizer, (L1,2) wide aperture collection lenses, (D) ϕ= 5mm InGaAs photodiode.

Fig. 4.
Fig. 4.

Example of a lock-in measurement at 2.5kHz of the acousto-optic normalized response for a diluted scattering liquid as a function of a frequency shift Δω/2π of the reference beam. The left column represents spectra (a,c,e,g) that have been obtained for an orthogonal pumping configuration with an incident flux of 240mW/cm 2, while the right column (b,d, f ,h) corresponds to a co-directional pumping with an incident flux of 300mW/cm 2. From top to bottom, each line corresponds respectively to Rω), φ(Δω), Pω), Qω) quantities, as defined in section 4. The width of the resonance peaks is connected to 1/τPR . Experimental data are black and theoretical fit prediction with a single parameter τPR is red (see text for details).

Fig. 5.
Fig. 5.

Plot of the photorefractive response time τPR as a function of the incident intensity for a co-directional (type I crystal) or an orthogonal pumping configuration (type II crystal).

Equations (28)

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ω n = ω 0 ± US
ω n , p = ω 0 ± US ± mod
G ( z , t ) = γz e t τ PR τ PR
E S , i ( r , t ) = n E S , i ω n ( r , t )
E S , i ω n ( r , t ) = a i ( r ) e i ( r ) J n ( β i ( t ) ) e 0 t e jnω US t e jn ( ϕ i ( t ) + π 2 )
E R ( r , t ) = E 0 e j ( ω 0 + US ) t e j Δ ωt
Δ n ( r , t ) = ( E S , i ω n ( r , t ) E R * ( r , t ) E S , i ω n ( r , t ) E S , i * ω n ( r , t ) + E R ( r , t ) E R * ( r , t ) ) * G ( z , t )
Δ n ( r , t ) η a i ( r ) e j θ i ( r ) E 0 ( J n ( β i ( t ) ) e jn ( ϕ i ( t ) + π 2 ) e j Δ ωt ) * ( e t τ PR τ PR )
E D , i , Δ ω ω n ( r , t ) = η a i ( r ) e i ( r ) [ ( J n ( β i ( t ) ) e jn ( ϕ i ( t ) + π 2 ) e j Δ ωt ) * ( e t τ PR τ PR ) ] e j ( ω 0 + US ) t e j Δ ωt
β i ( t ) = H AM ( t ) β i
ϕ i ( t ) = ϕ i + H PM ( t )
e jnϕ i ( t ) J n ( β i ( t ) ) = p c i , n , p e jpω mod t
E S , i ω n , p ( r , t ) = a i ( r ) e i ( r ) e jn ( ϕ i + π 2 ) e 0 t e jnω US t p c i , n , p e jnω mod t
E D , i , Δ ω ω n , p ( r , t ) = η a i ( r ) e j θ i ( r ) e jn ( θ i + π 2 ) e 0 t e jnω US t p c i , n , p ( r ) 1 + j ( p ω mod Δ ω ) τ PR e jpω mod t
S i , n Δ ω ( t ) = Re [ 2 E S , i * ω n ( r , t ) E D , i , Δ ω ω n ( r , t ) ] = 2 ηa i 2 ( r ) Re [ k , p c i , n , k * c i , n , p e j ( p k ) ω mod t 1 + j ( mod Δ ω ) τ PR ]
H AM ( t ) = Rect ( t xT ) * m δ ( t mT )
J 0 ( β i H AM ( t ) ) p c i , 0 , p e jpω mod t = 1 + ( J 0 ( β i ) 1 ) p x sin c ( pπx ) e jpπx e jpω mod t
c i , 0,0 = ( 1 x ) + x J 0 ( β i )
c i , 0 , p 0 = x ( J 0 ( β i ) 1 ) sin c ( pπx ) e jpπx
P ( Δ ω ) = s i , 0 Δ ω ( t ) cos ( ω mod t π 2 ) dt
Q ( Δ ω ) = S i , 0 Δ ω ( t ) sin ( ω mod t π 2 ) dt
P 0 ( Δ ω ) = 2 A i , 0 ( 1 + Δ ω τ PR ) 2
P ± ( Δ ω ) = A i , 0 1 + ( ω mod Δ ω ) 2 τ PR 2
Q ± ( Δ ω ) = A i , 0 1 + ( ω mod Δ ω ) 2 τ PR 2 ( ω mod Δ ω ) τ PR
A i , 0 = 1 π η a i 2 ( r ) [ 1 + 1 2 ( J 0 ( β i ) 1 ) ] [ J 0 ( β i ) 1 ]
R ( Δ ω ) = P 2 ( Δ ω ) + Q 2 ( Δ ω )
tan φ ( Δ ω ) = P ( Δ ω ) Q ( Δ ω )
tan φ ± ( Δ ω ± ω mod ) P ± ( Δ ω ) Q ± ( Δ ω ) ( ω mod Δ ω ) τ PR

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