Abstract
We propose a numerical method to solve an inverse source problem of computing the initial condition of hyperbolic equations from the measurements of Cauchy data. This problem arises in thermo- and photo-acoustic tomography in a bounded cavity, in which the reflection of the wave makes the widely-used approaches, such as the time reversal method, not applicable. In order to solve this inverse source problem, we approximate the solution to the hyperbolic equation by its Fourier series with respect to a special orthonormal basis of \(L^2\). Then, we derive a coupled system of elliptic equations for the corresponding Fourier coefficients. We solve it by the quasi-reversibility method. The desired initial condition follows. We rigorously prove the convergence of the quasi-reversibility method as the noise level tends to 0. Some numerical examples are provided. In addition, we numerically prove that the use of the special basic above is significant.
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Kruger, R.A., Liu, P., Fang, Y.R., Appledorn, C.R.: Photoacoustic ultrasound (PAUS)-reconstruction tomography. Med. Phys. 22, 1605 (1995)
Oraevsky, A., Jacques, S., Esenaliev, R., Tittel, F.: Laser-based optoacoustic imaging in biological tissues. Proc. SPIE 2134A, 122 (1994)
Kruger, R.A., Reinecke, D.R., Kruger, G.A.: Thermoacoustic computed tomography: technical considerations. Med. Phys. 26, 1832 (1999)
Do, N., Kunyansky, L.: Theoretically exact photoacoustic reconstruction from spatially and temporally reduced data. Inverse Probl. 34(9), 094004 (2018)
Haltmeier, M.: Inversion of circular means and the wave equation on convex planar domains. Comput. Math. Appl. 65, 1025–1036 (2013)
Natterer, F.: Photo-acoustic inversion in convex domains. Inverse Probl. Imaging 6, 315–320 (2012)
Nguyen, L.V.: A family of inversion formulas in thermoacoustic tomography. Inverse Probl. Imaging 3, 649–675 (2009)
Katsnelson, V., Nguyen, L.V.: On the convergence of time reversal method for thermoacoustic tomography in elastic media. Appl. Math. Lett. 77, 79–86 (2018)
Hristova, Y.: Time reversal in thermoacoustic tomography-an error estimate. Inverse Probl. 25, 055008 (2009)
Hristova, Y., Kuchment, P., Nguyen, L.V.: Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media. Inverse Probl. 24, 055006 (2008)
Stefanov, P., Uhlmann, G.: Thermoacoustic tomography with variable sound speed. Inverse Probl. 25, 075011 (2009)
Stefanov, P., Uhlmann, G.: Thermoacoustic tomography arising in brain imaging. Inverse Probl. 27, 045004 (2011)
Clason, C., Klibanov, M.V.: The quasi-reversibility method for thermoacoustic tomography in a heterogeneous medium. SIAM J. Sci. Comput. 30, 1–23 (2007)
Huang, C., Wang, K., Nie, L., Wang, L.V., Anastasio, M.A.: Full-wave iterative image reconstruction in photoacoustic tomography with acoustically inhomogeneous media. IEEE Trans. Med. Imaging 32, 1097–1110 (2013)
Paltauf, G., Nuster, R., Haltmeier, M., Burgholzer, P.: Experimental evaluation of reconstruction algorithms for limited view photoacoustic tomography with line detectors. Inverse Probl. 23, S81–S94 (2007)
Paltauf, G., Viator, J.A., Prahl, S.A., Jacques, S.L.: Iterative reconstruction algorithm for optoacoustic imaging. J. Opt. Soc. Am. 112, 1536–1544 (2002)
Ammari, H., Bretin, E., Jugnon, E., Wahab, V.: Photoacoustic imaging for attenuating acoustic media. In: Ammari, H. (ed.) Mathematical Modeling in Biomedical Imaging II, pp. 57–84. Springer, Berlin (2012)
Ammari, H., Bretin, E., Garnier, J., Wahab, V.: Time reversal in attenuating acoustic media. Contemp. Math. 548, 151–163 (2011)
Haltmeier, M., Nguyen, L.V.: Reconstruction algorithms for photoacoustic tomography in heterogeneous damping media. J. Math. Imaging Vis. 61, 1007–1021 (2019)
Acosta, S., Palacios, B.: Thermoacoustic tomography for an integro-differential wave equation modeling attenuation. J. Differ. Equ. 5, 1984–2010 (2018)
Burgholzer, P., Grün, H., Haltmeier, M., Nuster, R., Paltauf, G.: Compensation of acoustic attenuation for high-resolution photoa-coustic imaging with line detectors. Proc. SPIE 6437, 643724 (2007)
Homan, A.: Multi-wave imaging in attenuating media. Inverse Probl. Imaging 7, 1235–1250 (2013)
Kowar, R.: On time reversal in photoacoustic tomography for tissue similar to water. SIAM J. Imaging Sci. 7, 509–527 (2014)
Kowar, R., Scherzer, O.: Photoacoustic imaging taking into account attenuation. In: Ammari, H. (ed.) Mathematics and Algorithms in Tomography II. Lecture Notes in Mathematics, pp. 85–130. Springer, Berlin (2012)
Nachman, A.I., Smith, J.F., III., Waag, R.C.: An equation for acoustic propagation in inhomogeneous media with relaxation losses. J. Acoust. Soc. Am. 88, 1584–1595 (1990)
Cox, B., Arridge, S., Beard, P.: Photoacoustic tomography with a limited-aperture planar sensor and a reverberant cavity. Inverse Probl. 23, S95 (2007)
Cox, B., Beard, P.: Photoacoustic tomography with a single detector in a reverberant cavity. J. Acoust. Soc. Am. 123, 3371–3371 (2008)
Kunyansky, L., Holman, B., Cox, B.: Photoacoustic tomography in a rectangular reflecting cavity. Inverse Probl. 29, 125010 (2013)
Nguyen, L.V., Kunyansky, L.: A dissipative time reversal technique for photo-acoustic tomography in a cavity. SIAM J. Imaging Sci. 9, 748–769 (2016)
Lattès, R., Lions, J.L.: The Method of Quasireversibility: Applications to Partial Differential Equations. Elsevier, New York (1969)
Bécache, E., Bourgeois, L., Franceschini, L., Dardé, J.: Application of mixed formulations of quasi-reversibility to solve ill-posed problems for heat and wave equations: the 1d case. Inverse Probl. Imaging 9(4), 971–1002 (2015)
Bourgeois, L.: A mixed formulation of quasi-reversibility to solve the Cauchy problem for Laplace’s equation. Inverse Probl. 21, 1087–1104 (2005)
Bourgeois, L.: Convergence rates for the quasi-reversibility method to solve the Cauchy problem for Laplace’s equation. Inverse Probl, 22, 413–430 (2006)
Bourgeois, L., Dardé, J.: A duality-based method of quasi-reversibility to solve the Cauchy problem in the presence of noisy data. Inverse Probl. 26, 095016 (2010)
Dardé, J.: Iterated quasi-reversibility method applied to elliptic and parabolic data completion problems. Inverse Probl. Imaging 10, 379–407 (2016)
Klibanov, M.V., Kuzhuget, A.V., Kabanikhin, S.I., Nechaev, D.: A new version of the quasi-reversibility method for the thermoacoustic tomography and a coefficient inverse problem. Appl. Anal. 87, 1227–1254 (2008)
Klibanov, M.V.: Carleman estimates for global uniqueness, stability and numerical methods for coefficient inverse problems. J. Inverse Ill-Posed Probl. 21, 477–560 (2013)
Klibanov, M.V., Santosa, F.: A computational quasi-reversibility method for Cauchy problems for Laplace’s equation. SIAM J. Appl. Math. 51, 1653–1675 (1991)
Klibanov, M.V., Malinsky, J.: Newton-Kantorovich method for 3-dimensional potential inverse scattering problem and stability for the hyperbolic Cauchy problem with time dependent data. Inverse Probl. 7, 577–596 (1991)
Klibanov, M.V.: Carleman estimates for the regularization of ill-posed Cauchy problems. Appl. Numer. Math. 94, 46–74 (2015)
Klibanov, M.V.: Convexification of restricted Dirichlet to Neumann map. J. Inverse Ill-Posed Probl. 25(5), 669–685 (2017)
Nguyen, L.H., Li, Q., Klibanov, M.V.: A convergent numerical method for a multi-frequency inverse source problem in inhomogenous media. Inverse Probl. Imaging 13, 1067–1094 (2019)
Li, Q., Nguyen, L.H.: Recovering the initial condition of parabolic equations from lateral Cauchy data via the quasi-reversibility method. Inverse Probl. Sci. Eng. 28, 580–598 (2020)
Klibanov, M.V., Nguyen, L.H.: PDE-based numerical method for a limited angle X-ray tomography. Inverse Probl. 35, 045009 (2019)
Khoa, V.A., Klibanov, M.V., Nguyen, L.H.: Convexification for a 3D inverse scattering problem with the moving point source. SIAM J. Imaging Sci. 13(2), 871–904 (2020)
Klibanov, M.V., Le, T.T., Nguyen, L.H.: Convergent numerical method for a linearized travel time tomography problem with incomplete data. SIAM J. Sci. Comput. 42, B1173–B1192 (2020)
Evans, L.C.: Partial Differential Equations. Graduate Studies in Mathematics, American Mathematical Society, Providence (2010)
Klibanov, M.V., Nguyen, D.-L.: Convergence of a series associated with the convexification method for coefficient inverse problems. arXiv:2004.05660 (2020)
Lavrent’ev, M.M., Romanov, V.G., Shishatski, S.P.: Ill-Posed Problems of Mathematical Physics and Analysis. Translations of Mathematical Monographs, AMS, Providence (1986)
Khoa, V.A., Bidney, G.W., Klibanov, M.V., Nguyen, L.H., Nguyen, L., Sullivan, A., Astratov, V.N.: Convexification and experimental data for a 3D inverse scattering problem with the moving point source. Inverse Probl. 36, 085007 (2020)
Nguyen, L.H.: A new algorithm to determine the creation or depletion term of parabolic equations from boundary measurements. Comput. Math. Appl. 80, 2135–2149 (2020)
Khoa, V.A., Bidney, G.W., Klibanov, M.V., Nguyen, L.H., Nguyen, L., Sullivan, A., Astratov, V.N.: An inverse problem of a simultaneous reconstruction of the dielectric constant and conductivity from experimental backscattering data. Inverse Probl. Sci. Eng. (2020). https://doi.org/10.1080/17415977.2020.1802447
Smirnov, A.V., Klibanov, M.V., Nguyen, L.H.: On an inverse source problem for the full radiative transfer equation with incomplete data. SIAM J. Sci. Comput. 41, B929–B952 (2019)
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The authors would like to thank Dr. Michael V. Klibanov for many fruitful discussions.
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Thuy Le and Loc Nguyen are supported by US Army Research Laboratory and US Army Research Office Grant W911NF-19-1-0044.
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Le, T.T., Nguyen, L.H., Nguyen, TP. et al. The Quasi-reversibility Method to Numerically Solve an Inverse Source Problem for Hyperbolic Equations. J Sci Comput 87, 90 (2021). https://doi.org/10.1007/s10915-021-01501-3
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DOI: https://doi.org/10.1007/s10915-021-01501-3