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Reconstruction of the deep temperature by the acoustothermometric method and with consideration for the heat conduction equation

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Abstract

An acoustothermometric algorithm for reconstruction of the time-varying spatial temperature distribution is proposed and studied. The algorithm is based on the following a priory information: temperature variations is described by the heat conduction equation. Two distribution parameters are determined: the source and the temperature conductivity coefficient. Reconstruction is carried out on the basis of experimental data obtained when the model object (beef liver) is heated up. Obtaining these data requires 10 seconds (for a measurement error of about 0.1 K). In the reconstruction process, an error of about 0.5 K, which completely meets the medical requirements, is attained.

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Correspondence to A. A. Anosov.

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Original Russian Text © A.A. Anosov, R.V. Belyaev, V.A. Vilkov, A.V. Zakaryan, A.S. Kazanskii, A.D. Mansfel’d, P.V. Subochev, 2015, published in Radiotekhnika i Elektronika, 2015, Vol. 60, No. 8, pp. 855–864.

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Anosov, A.A., Belyaev, R.V., Vilkov, V.A. et al. Reconstruction of the deep temperature by the acoustothermometric method and with consideration for the heat conduction equation. J. Commun. Technol. Electron. 60, 919–927 (2015). https://doi.org/10.1134/S106422691508001X

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  • DOI: https://doi.org/10.1134/S106422691508001X

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