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The recorded radio-frequency signals in photoacoustic tomography (PAT) are greatly affected by the attenuation and dispersion of the acoustic waves (while propagating through the coupling medium). The frequency-dependent attenuation causes a significant reduction of high-frequency signals causing a blurring in the reconstructed images. Here, we present a simulation study involving a model-based approach that can reduce blurring significantly for such a propagating medium. The model matrix was constructed by utilizing Green’s function for acoustically lossy and dispersive medium. As far as we know, this approach has never been employed for the construction of the model matrix. A numerical phantom (containing five discs with different radii and optical absorption properties) embedded in an acoustically lossy and dispersive medium was considered in this study. The PA signals were captured by 80 detectors (uniformly placed around the sample over 0-2π). The image reconstruction was accomplished via the Tikhonov regularization (TH) method. The back-projection (BP) and interpolated time reversal (ITR) algorithms were also implemented for image creation. The numerical values of some standard image quality metrics were calculated. The BP technique fails to recover the initial pressure map of the phantom. The ITR images appear slightly blurry but it restores the nominal pressure distribution better than the BP method. The model-based method compensates for the effect of medium-dependent attenuation during the matrix-inversion operation. Its performance is comparable to the ITR method for large structures but it works better for small structures. Therefore, it may be useful for PAT imaging of blood vessels in the tissue.
Pankaj Warbal andRatan K. Saha
"System matrix approach for attenuation compensation in photoacoustic tomography", Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 1246332 (7 April 2023); https://doi.org/10.1117/12.2654123
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Pankaj Warbal, Ratan K. Saha, "System matrix approach for attenuation compensation in photoacoustic tomography," Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 1246332 (7 April 2023); https://doi.org/10.1117/12.2654123