Magneto-Acousto-Electric Tomography with Magnetic Field Measurements: Modeling, Inversion and Stability
Lingyun Qiu, Siqin Zheng
Abstract
Magneto-acousto-electric tomography (MAET) combines ultrasound with a static magnetic field to infer the electrical conductivity of an object. In this paper, we present a rigorous quasi-static mathematical model for MAET with magnetic field measurements and introduce an adjoint problem to decouple the resulting hybrid inverse problem. This yields a two-step inversion procedure: solving an acoustic inverse source problem and then recovering the conductivity from an internal current density. We prove that, under explicit smallness assumptions on the conductivity and coil geometry, the conductivity can be recovered with Lipschitz stability in both bounded and half-space geometries.
