Quantitative Reconstruction of Sound Speed and Attenuation Tissue Image by Modified Linearization Inverse Scattering Analysis

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A technique was developed for reconstructing sound speed and attenuation quantitative computerized tomographic images of biological tissues based on the modified linearization inverse scattering analysis. So far, there was a problem that large sound speed contrast (less than 10 %) of the biological tissues violates the weak scattering linearization approximation conditions and causes crosstalk errors in the reconstructed attenuation image. In addition, attenuation scattering wave components were very small compared to that of sound speed, hence the measurement noise contamination was inevitable in the attenuation image. In this paper, following methodologies were introduced to resolve the problems. (1)Modified linearization method based on the backward propagation Rytov approximation was examined based on the combination of the inverse and forward scattering, analysis to compensate the errors in the attenuation image. (2)The circular arc data observation was made in place of the conventional straight line observation. It was demonstrated that optimal selection of the circular observation distance and angular observation aperture made it possible to avoid the spurious edge wave interference and improve the robustness against the measurement noise. Through simulation and/experiment test examinations, it was verified that attenuation image with good quantitative precision was successfully reconstructed.