Inverse diffusion from knowledge of power densities

Guillaume Bal (1) , Eric Bonnetier (2) , François Monard (1) , Faouzi Triki (2)

1 APAM - Department of Applied Physics and Applied Mathematics [New York]
2 EDP - Equations aux Dérivées Partielles

This paper concerns the reconstruction of a diffusion coefficient in an elliptic equation from knowledge of several power densities. The power density is the product of the diffusion coefficient with the square of the modulus of the gradient of the elliptic solution. The derivation of such internal functionals comes from perturbing the medium of interest by acoustic (plane) waves, which results in small changes in the diffusion coefficient. After appropriate asymptotic expansions and (Fourier) transformation, this allow us to construct the power density of the equation point-wise inside the domain. Such a setting finds applications in ultrasound modulated electrical impedance tomography and ultrasound modulated optical tomography. We show that the diffusion coefficient can be uniquely and stably reconstructed from knowledge of a sufficient large number of power densities. Explicit expressions for the reconstruction of the diffusion coefficient are also provided. Such results hold for a large class of boundary conditions for the elliptic equation in the two-dimensional setting. In three dimensions, the results are proved for a more restrictive class of boundary conditions constructed by means of complex geometrical optics solutions.

Mots clés: Inverse conductivity; inverse diffusion; Calderón's problem; hybrid methods; power density measurements; complex geometrical optics solutions; optical tomography

Domaines: Equations aux dérivées partielles [math.AP]

Guillaume Bal, Eric Bonnetier, François Monard, Faouzi Triki. Inverse diffusion from knowledge of power densities. Inverse Problems and Imaging , 2013, 7 (2), pp.353-375. ⟨10.3934/ipi.2013.7.353⟩. ⟨hal-00748054⟩