Abstract
The identification of the space-dependent perfusion coefficient in the one-dimensional transient bio-heat conduction equation is investigated. While Dirichlet boundary conditions are assumed, the additional measurement necessary to render a unique solution is either a heat-flux measurement or a time-average temperature measurement inside the space region of interest. A numerical approach based on the Crank–Nicolson finite-difference scheme combined with the first-order Tikhonov’s regularization method is developed. Numerical results are presented and discussed.
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References
Pennes HH (1948) Analysis of tissue and arterial blood temperature in the resting human forearm. J Appl Physiol 1: 93–122
Cardinali AV, Diller TE, Lanz O, Scott EP (2002) Validation of a noninvasive thermal perfusion system using a canine medial saphenous fasciocutaneous free tissue flap model. In: Proceedings of IMECE’02, ASME International Mechanical Engineering Congress & Exposition, November 17–22, 2002, New Orleans, Louisiana, Paper No. IMECE2002-32354
Scott EP, Robinson P, Diller TE (1997) Estimation of blood perfusion using a minimally invasive perfusion probe. Adv Heat Mass Transf Biotechnol (ASME) HTD-vol 355/BED-vol 37: 205–212
Chan CL (1992) Boundary element method analysis for the bio-heat transfer equation. Trans ASME J Biomech Eng 114: 358–365
Ren ZP, Liu J, Wang CC (1995) Boundary element method (BEM) for solving normal and inverse bio-heat transfer problem of biological bodies with complex shapes. J Therm Sci 4: 117–124
Deng Z-S, Liu J (2000) Parametric studies on the phase shift method to measure the blood perfusion of biological bodies. Med Eng Phys 22: 693–702
Loulou T, Scott EP (2006) An inverse heat conduction problem with heat flux measurements. Int J Numer Meth Eng 67: 1587–1616
Robinson PS, Scott EP, Diller TE (1998) Validation of methodologies for the estimation of blood perfusion using a minimally invasive probe. Adv Heat Mass Transf Biotechnol (ASME) HTD-vol 362/BED-vol 40: 109–115
Scott EP, Robinson P, Diller TE (1998) Development of methodologies for the estimation of blood perfusion using a minimally invasive thermal probe. Meas Sci Technol 9: 888–897
Klibanov MV, Lucas TR, Frank RM (1997) Fast and accurate imaging algorithm in optical/diffusion tomography. Inverse Probl 13: 1341–1361
Trucu D, Ingham DB, Lesnic D (2009) An inverse coefficient identification problem for the bio-heat equation. Inverse Probl Sci Eng 17: 65–83
Trucu D, Ingham DB, Lesnic D (2008) Inverse time-dependent perfusion coefficient identification. J Phys: Conf Ser 124(012050): 28
Trucu D, Ingham DB, Lesnic D (2008) Inverse space-dependent perfusion coefficient identification. J Phys: Conf Ser 135(012098): 8
Denisov AM (1999) Elements of the theory of inverse problems. VSP, Utrecht
Rodrigues FA, Orlande HRB, Dulikravich GS (2004) Simultaneous estimation of spatially dependent diffusion coefficient and source term in a nonlinear 1D diffusion problem. Math Comput Simul 66: 409–424
Tadi M, Klibanov MV, Cai W (2002) An inverse method for parabolic equations based on quasireversibility. Comput Math Appl 43: 927–941
Choulli M (1994) An inverse problem for a semilinear parabolic equation. Inverse Probl 10: 1123–1132
Choulli M, Yamamoto M (1996) Generic well-posedness of an inverse parabolic problem - the Holder-space approach. Inverse Probl 12: 195–205
Choulli M, Yamamoto M (1997) An inverse parabolic problem with non-zero initial condition. Inverse Probl 13: 19–27
Isakov V (1991) Inverse parabolic problems with the final overdetermination Commun. Pure Appl Math 54: 185–209
Isakov V (1999) Some inverse problems for the diffusion equation. Inverse Probl 15: 3–10
Prilepko AI, Kostin AB (1993) On certain inverse problems for parabolic equations with final and integral observations. Russ Acad Sci Sb Math 75(2): 473–490
Prilepko AI, Solov’ev (1987) Solvability of the inverse boundary-value problem of finding a coefficient of a lower-order derivative in a parabolic equation. Differ Equ 23: 101–107
Rundell W (1987) The determination of a parabolic equation from initial and final data. Proc Am Math Soc 99: 637–642
Yu W (1991) On the existence of an inverse problem. J Math Anal Appl 157: 63–74
Chen Q, Liu J (2006) Solving an inverse parabolic problem by optimization from final measurement data. J Comput Appl Math 193: 183–203
Deng Z-C, Yang L, Yu J-N (2009) Identifying the radiative coefficient of heat conduction equations from discrete measurement data. Appl Math Lett 22: 495–500
Yang L, Yu J-N, Deng Z-C (2008) An inverse problem of identifying the coefficient of parabolic equation. Appl Math Modell 32: 1984–1995
Ramm AG (2000) Property C for ODE and applications to inverse problems. Fields Inst Commun 25: 15–75
Ramm AG (2001) An inverse problem for the heat equation. J Math Anal Appl 264: 691–697
Isakov V (2006) Inverse problems for partial differential equations, 2nd edn. Springer, Berlin
Ladyzhenskaya OA, Solonnikov VA, Ural’tseva NN (1968) Linear and quasilinear equations of parabolic type. American Mathematical Society, Providence
Dahlquist G, Bjorck A (1974) Numerical methods. Prentice-Hall, New Jersey
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Trucu, D., Ingham, D.B. & Lesnic, D. Space-dependent perfusion coefficient identification in the transient bio-heat equation. J Eng Math 67, 307–315 (2010). https://doi.org/10.1007/s10665-009-9319-6
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DOI: https://doi.org/10.1007/s10665-009-9319-6