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Photoacoustic spectrum analysis for microstructure characterization in biological tissue: A feasibility study
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View: Figures


Image of FIG. 1.
FIG. 1.

An example of the PA signals and the signal power spectra in simulations and from a phantom containing optical absorbing microspheres with radius of 300 μm and concentration of 120 per 1.53/cm3. (a) Simulated PA signal profile from a single microsphere. The magnitude is normalized to that generated by a 100-μm spherical PA source. The spikes in the insertion demonstrate the locations, on time axis, of the microspheres in the phantom. (b) Simulated signal sequence from the phantom. The insertion on the top shows the receiving directivity function of the transducer, and the insertion on the bottom shows the acoustic attenuation as a function of frequency. (c) The power spectrum of the signal in (b) and the corresponding linear fit in the frequency range of [0.5 MHz, 13 MHz]. (d) Signal profile from a single microsphere measured in experiment. (e) Signal sequence measured in experiment. (f) Power spectrum of the signal from the phantom calibrated by the frequency response of the hydrophone (shown in the insertion) and the corresponding linear fit.

Image of FIG. 2.
FIG. 2.

Schematic of the experimental setup. The signal acquisition by oscilloscope is synchronized to the laser firing with Q-switch trigger. The light beam is spitted and bilaterally illuminates the phantom.

Image of FIG. 3.
FIG. 3.

Plots of linear regression parameters, including the slope, intercept and midband fit, with respect to the diameters and concentrations of the microspheres in the phantom. Left column: simulation results. Right column: experimental results.


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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Photoacoustic spectrum analysis for microstructure characterization in biological tissue: A feasibility study