<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJA</journal-id><journal-title-group><journal-title>Open Journal of Acoustics</journal-title></journal-title-group><issn pub-type="epub">2162-5786</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oja.2013.32A002</article-id><article-id pub-id-type="publisher-id">OJA-33429</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Photoacoustic Imaging with a Line-Focus Laser Beam for Rapid Inspection and Tomographic Characterization of Simulated Surface and Undersurface Defects
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>sutomu</surname><given-names>Hoshimiya</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mika</surname><given-names>Hatake-Yama</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Graduate School of Engineering, Tohoku Gakuin University, Tagajo, Japan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>tpth@tjcc.tohoku-gakuin.ac.jp(SH)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>14</day><month>06</month><year>2013</year></pub-date><volume>03</volume><issue>02</issue><fpage>8</fpage><lpage>15</lpage><history><date date-type="received"><day>April</day>	<month>17,</month>	<year>2013</year></date><date date-type="rev-recd"><day>May</day>	<month>17,</month>	<year>2013</year>	</date><date date-type="accepted"><day>May</day>	<month>24,</month>	<year>2013</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  A photoacoustic (PA) imaging apparatus using a laser line-focus beam (LFB) was designed to perform rapid inspection and photoacoustic tomographic (PAT) imaging of surface and undersurface defects. 2D-PAT imaging of surface and undersurface defects was demonstrated based on a formulation similar to the X-ray tomography. The obtained PAT images represented forward-projected PA signals collected along the LFB. The reconstructed images were in close agreement with those obtained from laser point-focus beam (PFB) PA imaging. We achieved rapid non-destructive in
  spection of a surface-simulated defect using a LFB. The reconstructed PA image of the undersurface defect was consis
  tent with that obtained by a plane-thermal wave diffraction model.
   
   <b></b> 
 
</p></abstract><kwd-group><kwd>Imaging; Photoacoustic; Tomography; Line-Focus Beam</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The photoacoustic microscope (PAM) is a useful tool for non-destructive imaging [1-3] and quantitative measurements [<xref ref-type="bibr" rid="scirp.33429-ref4">4</xref>] of surface defects in solid specimens. Previously, the use of a line-focus laser beam for inspecting welded metal plates by photoacoustic (PA) imaging was proposed [<xref ref-type="bibr" rid="scirp.33429-ref5">5</xref>]. The advantages of quick inspection by a line focus beam (LFB) were previously demonstrated in photothermal reflection [<xref ref-type="bibr" rid="scirp.33429-ref6">6</xref>].</p><p>The invention of X-ray computed tomography (CT) [<xref ref-type="bibr" rid="scirp.33429-ref7">7</xref>] introduced the inverse problem [<xref ref-type="bibr" rid="scirp.33429-ref8">8</xref>] to imaging. It has been applied in photoacoustic imaging as thermal-wave or photoacoustic tomography (PAT) through the 1990s and early 2000s using a point-focus laser beam by several groups [9-14]. The PAT technique was developed primarily for time-domain 3D imaging in liquids [15-17], such as in medicine [<xref ref-type="bibr" rid="scirp.33429-ref18">18</xref>]. A general theory for PAT [<xref ref-type="bibr" rid="scirp.33429-ref19">19</xref>] and a review paper on the PAT inverse problem [<xref ref-type="bibr" rid="scirp.33429-ref20">20</xref>] have been published. However, tomographic algorithms for surfaces perpendicular to the direction of laser beam propagation have not been investigated until now.</p><p>Recently, we found an equivalence between X-ray CT and 2D-PAT using a LFB [21,22]. Here we formulate the PAT theory for surface and undersurface defects simulated on a plane metal specimen from a fundamental viewpoint [<xref ref-type="bibr" rid="scirp.33429-ref23">23</xref>]. Measurements using a LFB can shorten the inspection time while keeping the resolution similar to that of a point-focus beam. In addition, pattern matching can be performed to compare with a known image of the defect. We studied PAT imaging of surface and under surface defects with LFB laser irradiation theoretically, performed it experimentally, and then created a reconstruction. Finally, we compared the reconstructed image of an undersurface defect with that obtained in a conventional PA imaging system using a point-focus laser beam.</p></sec><sec id="s2"><title>2. Basic Principles</title><sec id="s2_1"><title>2.1. Surface Defect Imaging with LFB and Its Equivalence to X-Ray Computed Tomography (CT)</title><p>For both light and X-rays, Lambert-Beer’s law</p><disp-formula id="scirp.33429-formula52473"><label>(1)</label><graphic position="anchor" xlink:href="2-1610062\282d8bc5-278c-4460-a511-8229d781d8af.jpg"  xlink:type="simple"/></disp-formula><p>holds, where L, α, <img src="2-1610062\c51cdd08-2342-48ce-bd65-346af3ce4357.jpg" />and I are the specimen length and absorption coefficient, and radiation incident and transmitted intensities, respectively. If we divide the absorption distribution along the path into small cells, the total absorption along the line is the sum of the absorption coefficients. This is the basic principle of X-ray CT.</p><p>In X-ray CT [<xref ref-type="bibr" rid="scirp.33429-ref7">7</xref>], the distribution of the X-ray absorption coefficient <img src="2-1610062\c2bbfdfd-b85e-4e3b-b10c-eee68aa1e19d.jpg" /> is related to a measured quantity, called the “forward projection” (also called the “Radon transform” [7,13]). This is defined as the sum of absorption coefficients along the propagation line. It is a function of the inclination angle θ and scanning step X along an axis inclined from the X-axis, as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p><disp-formula id="scirp.33429-formula52474"><label>(2)</label><graphic position="anchor" xlink:href="2-1610062\b10ebfd7-dee2-469a-b124-d863ad136454.jpg"  xlink:type="simple"/></disp-formula><p>The 1D Fourier transform of the forward projection is defined as</p><disp-formula id="scirp.33429-formula52475"><label>(3)</label><graphic position="anchor" xlink:href="2-1610062\8a538fa5-4537-4e5f-80df-a1243e0f414f.jpg"  xlink:type="simple"/></disp-formula><p>where the parameter w is the 1D Fourier transform of the forward scanned step X. The distribution of the X-ray absorption coefficient <img src="2-1610062\a02ed1f8-c334-480c-b0da-9b5f44674ec8.jpg" /> is reconstructed from</p><disp-formula id="scirp.33429-formula52476"><label>(4)</label><graphic position="anchor" xlink:href="2-1610062\940d6df3-7a2b-46c5-817a-ad03dd4dddf1.jpg"  xlink:type="simple"/></disp-formula><p>This process, which recovers the original distribution, is called the “inverse Radon transform” [7,24].</p><p>In photoacoustic spectroscopy, the PA signal in opaque solids (including metals) is generally proportional to the product of the absorption coefficient α of the specimen (assuming that the surface defect is an equivalent surface absorber) and laser intensity I0, and inversely proportional to the modulation frequency f. Then, the obtained signal for the PAT, in which the laser LFB is focused on the specimen surface and the PA signal is forward-projected over the specimen surface along a LFB, is</p><disp-formula id="scirp.33429-formula52477"><label>(5)</label><graphic position="anchor" xlink:href="2-1610062\31bc99f9-e736-4e5b-a56e-878aca528ca8.jpg"  xlink:type="simple"/></disp-formula><p>where summation is along the LFB.</p><p>In photoacoustic imaging, it is known that the obtained PA amplitude and phase images <img src="2-1610062\c03372a5-6abb-4368-827f-e531135a4443.jpg" /> and <img src="2-1610062\30684b0b-d7f3-4cd7-ae4c-2b6047ab2274.jpg" /> are coupled together as a form of (6) [1,25], therefore the PA amplitude and phase images <img src="2-1610062\7e4364ca-a772-4ad7-97a4-e347b5163288.jpg" /> and <img src="2-1610062\5b395165-bb25-4570-9eff-2fbaf4645fe5.jpg" /> obtained from the PAT measurement are related to the forward projection (2) as</p><disp-formula id="scirp.33429-formula52478"><label>(6)</label><graphic position="anchor" xlink:href="2-1610062\cf417302-8a11-426f-a9f0-841b63805a8d.jpg"  xlink:type="simple"/></disp-formula><p>There is no need to take the logarithm of the output X-ray intensity as in X-ray CT. The obtained set of PA amplitude and phase signals itself is a forward projection. The equivalence between 2D-PAT and X-ray CT is shown schematically in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p></sec><sec id="s2_2"><title>2.2. Undersurface PAT Imaging</title><p>In photoacoustic (PA) imaging of undersurface defects, periodic thermal diffusion in a solid should be considered. It is governed by the Green’s function Equation [<xref ref-type="bibr" rid="scirp.33429-ref1">1</xref>]</p><disp-formula id="scirp.33429-formula52479"><label>(7)</label><graphic position="anchor" xlink:href="2-1610062\fea905b8-7ff9-48aa-9aa9-a83f7e0dda5b.jpg"  xlink:type="simple"/></disp-formula><p>where the complex parameter σ is defined in terms of the thermal conductivity σ, density ρ, heat capacity c, and modulation frequency f as</p><disp-formula id="scirp.33429-formula52480"><label>(8)</label><graphic position="anchor" xlink:href="2-1610062\b71bc58a-ef33-4407-bf26-872b7b4f065c.jpg"  xlink:type="simple"/></disp-formula><p>where μ is the thermal diffusion length. The Green’s function in free space is the spherical wave with complex wave number σ</p><disp-formula id="scirp.33429-formula52481"><label>(9)</label><graphic position="anchor" xlink:href="2-1610062\9782a21b-7944-451a-9f5b-be6b278f7b34.jpg"  xlink:type="simple"/></disp-formula><p>When a condenser microphone is used as the detector in undersurface imaging, it will collect all sounds generated over the whole specimen surface by the thermal wave diffracted at the undersurface defect. By the reciprocal property of the Green’s function</p><p><img src="2-1610062\cdd7db7f-872e-4b05-9899-fa603d2218b0.jpg" /></p><p>In photoacoustic (PA) imaging with a condenser microphone by a point-source laser beam is equivalent to single-point detection of the plane thermal wave generated from the whole surface that is diffracted from the undersurface defect [<xref ref-type="bibr" rid="scirp.33429-ref2">2</xref>].</p><p>Hence PA imaging with LFB excitation and condenser microphone detection is equivalent to collecting the PA signal along a laser beam line, which is generated by a diffracted plane thermal wave at the undersurface defect located at a depth δ. As a result, the detected PA signal generated by LFB laser irradiation is described by (see Equation (10) below):</p><disp-formula id="scirp.33429-formula52482"><label>(10)</label><graphic position="anchor" xlink:href="2-1610062\3bbcfd27-1ebc-4493-aa5c-af9733126c89.jpg"  xlink:type="simple"/></disp-formula><p>where X and θ are the step position and inclination angle, respectively. In Equation (10), integration is performed along all <img src="2-1610062\f8c38c3f-9c4d-4ea6-8a69-c5b1dfb3b6ce.jpg" /> points on the LFB. A plane wave diffraction formula [<xref ref-type="bibr" rid="scirp.33429-ref26">26</xref>] along all <img src="2-1610062\9b95b239-5eac-4776-b1d1-f808cbb942b7.jpg" /> points on the LFB. A plane wave diffraction formula [<xref ref-type="bibr" rid="scirp.33429-ref26">26</xref>] is assumed in the derivation of (10).</p><p>We rewrite (10) as</p><disp-formula id="scirp.33429-formula52483"><label>(11)</label><graphic position="anchor" xlink:href="2-1610062\8961780e-7a0b-4c20-836d-d8192537713a.jpg"  xlink:type="simple"/></disp-formula><p>The function <img src="2-1610062\2c3faa5a-36ec-4278-a53e-2b10d8ffca40.jpg" /> is defined as the second term integral in the bracket in (10)</p><disp-formula id="scirp.33429-formula52484"><label>(12)</label><graphic position="anchor" xlink:href="2-1610062\754bc718-ad6b-450d-8eaa-04424bc6e310.jpg"  xlink:type="simple"/></disp-formula><p>It represents the complex PA image, obtained using a point-focus laser beam. Its summation along a LFB is the PAT image.</p><p>Comparison of (11) with (5) for surface defects shows that the PAT image of the undersurface defect with a LFB is back-projected and reconstructed as a PA image corresponding to that obtained with a point focus beam using the same inverse-Radon transform algorithm [<xref ref-type="bibr" rid="scirp.33429-ref7">7</xref>].</p></sec></sec><sec id="s3"><title>3. Experimental Setup</title><p>The basic experimental set up is shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>. The hardware and software for the photo acoustic microscope (PAM) is similar to that described elsewhere [<xref ref-type="bibr" rid="scirp.33429-ref27">27</xref>]. A second harmonic green laser beam (532 nm) of a LD-pumped YAG laser was expanded and focused on a specimen by concave-convex and cylindrical lenses, respectively. Mechanical rotating and stepping stages, controlled by a computer, were used to rotate and translate the laser beam on the specimen surface for rapid inspection and CT scanning.</p><p>The control software for the laser was written using LabVIEW<sup>TM</sup> (National Instruments). The laser angle was set to 90˚ for inspection in the vertical and horizontal (2 scans) or 45˚ for inspection in the vertical, horizontal and extra two diagonal directions (4 scans).</p><p>The specimen was prepared using an aluminum plate with a thickness of 2 mm. A commercial paint with a radiative coefficient of 0.94 was sprayed on the alumi num plate in the shape of a cross as the blackbody absorber. The lengths and widths of each arm of the cross were 4 mm, to modulate the absorption coefficient on the specimen surface. A 32.5 &#215; 32.5 mm<sup>2</sup> aluminum plate of thickness 2.0 mm was used as the metal specimen. At the center of its lower surface, a slit-shaped, 1.7 mm deep groove of area 18 &#215; 2 mm<sup>2</sup> was added, to make a small-depth shallow undersurface defect with a thickness of 0.3 mm depth. The surface and undersurface specimens are shown in Figures 4(a) and (b), respectively.</p><p>Because the blackbody paint absorbed the laser beam at the surface, the simulated surface defect became a near-ideal surface line heat source. As shown in la-sergenerated ultrasound studies [28,29], a fundamental frequency doubled YAG laser is reflected more than 90% at the aluminum metal surface, with the remaining 10% absorbed by the surface. We therefore also assumed that a line heat source was generated in the undersurface defect case. Thus, a surface line heat source existed for both surface and undersurface defects, and CT algorithms along the specimen surface were valid.</p></sec><sec id="s4"><title>4. Experimental Results and Discussions</title><sec id="s4_1"><title>4.1. Rapid Inspection Using LFB</title><p>In the non-destructive evaluation (NDE) of undersurface defects or specimens such as welded plates, PA measure ment by a laser LFB can provide macroscopic information on the&#160; internal status of the specimen quicker than that by a PFB [<xref ref-type="bibr" rid="scirp.33429-ref10">10</xref>]. During rapid pattern-matching inspection by a LFB that scans in the horizontal and vertical only, the measurement time for 65 steps was 1 min, 22 s (82 s). In comparison, the time needed to acquire a PAT forward-projected image with 65 steps along 65 directions was 4 min, 37 s (277 s). Thus, about a three-fold more rapid inspection was achieved compared with the PAT inspection.</p><p>For comparison, the time required for the PAM measurement using a 65 &#215; 65-step scan is 1 h, 16 min, 39 s (4599 s). The measurement time was thus about 56 times that needed for the PA LFB. Even with diagonal scans added, the time needed for 4 (vertical, horizontal and two diagonal) scans with 65 steps was 2 min, 49 s (169 s). The times needed for PAT and PAM measurements at different resolutions are summarized in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s4_2"><title>4.2. PAT Operation</title><p>In the PAT measurements for the simulated surface and undersurface specimens, the power and size of the laser beam on the specimen was 30 mW and 25 mm at 650 &#181;m, respectively. The modulation frequencies for surface and undersurface defect measurements were 390 and 30 Hz, respectively. The measured area was 27 &#215; 27, while the reconstructed area was 18 &#215; 18 mm<sup>2</sup>. The rotation and translation steps were 1.8˚ (π/100) and 270 &#181;m (27 mm/100), respectively. The measurement time was 87 min. The laser beam was uniform to within 5%.</p><p>To compare the image resolution, a point-focus laser beam with a power and spot size of 80 mW and 30 &#181;m, respectively, was used. The modulation frequencies for the surface and undersurface defect measurements were the same as for the PAT measurements. The resolution was 100 &#215; 100 pixels, which was set equal to that of the PAT measurement.</p><p>The translation steps were 270 &#181;m (27 mm/100) in both the x and y directions. The measurement time in this case was 135 min.</p><sec id="s4_2_1"><title>4.2.1. Surface Defect Imaging Using PAT</title><p>PAT measurements were performed and the obtained PA amplitude image obtained as a function of step X (ordinate) and inclination angle (abscissa), as shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>. When the inclination angle was zero (at 90 and 180˚), signals were maximum at the center (X = 0), as expected. However, when θ = 45˚, the PA signal had two peaks. This occurred because the LFB overlap was maximal when it coincided on the diagonals of two adjacent cross arms.</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Times needed for PAT measurements for resolution combination (translation steps versus angle steps) and those of PAM measurements for corresponding resolution. (a) PAT; (b) PAM</title></caption></table-wrap-group><p>We reconstructed the absorption distribution by calculating the 1D Fourier transform of the forward projection and step X with respect to the variable X, using (7) and (8), and then calculating the inverse Fourier transform (9) using the MATLAB software. Previously, the backward projection procedure (table lookup, interpolation and summation over the angle θ) had been performed manually using the standard inverse-Radon transform.15) We used the inverse-Radon transform software included in the “Image Processing Toolbox” of MATLAB for image reconstruction, and the utility software “Origin” to plot the calculated data. The reconstructed image is shown in <xref ref-type="fig" rid="fig6">Figure 6</xref>. For comparison, we also performed PAM measurements with a point-focus laser beam. The result is shown in <xref ref-type="fig" rid="fig7">Figure 7</xref>.</p><p>The shape of the reconstructed image is similar to the original absorption distribution (cross). However, the resolution of the reconstructed image is lower than that of the PAM image. Making the laser beam distribution uniform and improving the reconstruction software are problems for future research.</p></sec><sec id="s4_2_2"><title>4.2.2. Undersurface Defect Imaging with PAT</title><p>Amplitude and phase images obtained by PAT of simulated undersurface defects measured at 30 Hz are shown in Figures 8(a) and (b), respectively. The reconstructed or backward-projected amplitude and phase images are shown in Figures 9(a) and (b), respectively.</p><p>In the undersurface defect experiment, changing the thermal diffusion length (see Equation (8)) and modu-</p><p>lation frequency for a fixed distance between the surface and top of undersurface defect corresponded to changing the optical wavelength, but not the slit size or distance from the diffraction slit to the observation point.</p><p>The simulation was performed by dividing the slitshaped undersurface defect into 73 &#215; 9 points. It was assumed that spherical waves were emitted towards the detection surface from each point. Simulated amplitude and phase images are shown in Figures 10(a) and (b), respectively. The reconstructed images agreed with the simulated images calculated by the method described above.</p><p>For comparison, we performed conventional PAM imaging of the undersurface defect using a point-focus laser beam at a modulation frequency of 30 Hz. The PAM amplitude and phase images of the specimen were taken. They are shown in Figures 11(a) and (b), respecttively.</p></sec></sec></sec><sec id="s5"><title>5. Conclusion</title><p>In conclusion, we have designed and constructed an PA apparatus with a LFB which can work both PAT imaging apparatus and a rapid inspection tool with a limited number of scanning for the surface and undersurface defects. We present a unified theoretical formulation of</p><p>PAT with LFB for both simulated surface and undersurface defects. Performing PAT experiments for the defects, it was found that the reconstructed images had high fidelity in terms of the apparatus and a rapid inspection tool with a limited number of scanning for the surface and undersurface defects. We present a unified theoretical formulation of PAT with LFB for both simulated surface and undersurface defects. Performing PAT experiments for the defects, it was found that the reconstructed images had high fidelity in terms of the absorption distribution and defect shape. They also agreed closely with measurements performed using a pointfocus PAM and images calculated using an optical model for thermal wave diffraction.</p></sec><sec id="s6"><title>6. Acknowledgements</title><p>We are grateful to Prof. H. Endoh of Tohoku Gakuin University (TGU) for his help and discussion of the experiment. We also thank graduate students N. Ohtaki and T. Takatsu for their help with the experiments. TH also thanks Prof. A. Harata of Kyusyu University for sharing Dr. M. Kasai’s unpublished work on PAT, which was part of his Ph.D. thesis [<xref ref-type="bibr" rid="scirp.33429-ref30">30</xref>]. MH is grateful to Prof. T. Hoshimiya for guiding her research throughout the graduate course, and to T. Kanno for his help with the experiments.</p></sec><sec id="s7"><title>REFERENCES</title></sec><sec id="s8"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.33429-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">R. L. Thomas, J. J. Pouch, Y. H. Wong, L. D. Favro, P. K. Kuo and A. Rosencwaig, “Subsurface Flaw Detection in metals by Photoacoustic Microscopy,” Journal of Applied Physics, Vol. 51, No. 2, 1980, pp. 1152-1156.  
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