4 March 2013 Evaluation of tissue microstructure with a narrowband and low frequency photoacoustic tomography system
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The characteristic microstructures in biological tissues could be used to differentiate tissue types, such as tumor vs. normal tissue. The spatial resolution of classical photoacoustic tomography (PAT) mainly depends on the wavelengths of the detected ultrasonic signals. In order to present the very detailed microstructures in a biological sample, the receiving bandwidth of the PAT system needs to be extremely wide. Another challenge in detecting the high frequency signals associated with microstructures is the strong acoustic attenuation which increases quadratically with ultrasound frequency. In this study, we propose a novel photoacoustic spectral analysis (PSA) technique which evaluates the microstructures in tissues by analyzing the spectral parameters of detected photoacoustic signals. Experimental result verified that, using a limited 1-5 MHz working bandwidth, PSA could effectively differentiate two melanoma-mimicking phantoms containing different microstructures (49 μm and 199 μm absorber sizes respectively). In comparison, since the physical scales of the microstructures are too small and beyond the spatial resolution of the PAT system, classical tomographic imaging could not differentiate the two phantoms. The findings from this study suggest that the proposed PSA technique could help distinguish different tissue types, by evaluating the characteristic microstructures in tissues, without relying on the detection of high frequency signals which is extremely challenging when the target object is deep.
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Yiqun Yang, Yiqun Yang, Shaohua Wang, Shaohua Wang, Chao Tao, Chao Tao, Xueding Wang, Xueding Wang, Xiaojun Liu, Xiaojun Liu, } "Evaluation of tissue microstructure with a narrowband and low frequency photoacoustic tomography system", Proc. SPIE 8581, Photons Plus Ultrasound: Imaging and Sensing 2013, 85812T (4 March 2013); doi: 10.1117/12.2003036; https://doi.org/10.1117/12.2003036

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