Much recent work has been devoted to utilizing changes in either the inherent or imparted
electrical conductivity of self-sensing materials as an indicator of damage, deformation or …

Objective: The inverse problem of computing conductivity distributions in 2D and 3D objects
interrogated by low-frequency electrical signals, which is called Electrical Impedance …

To solve an applied inverse problem, a numerical forward model for the problem's physics is
required. Commonly, the finite element method is employed with discretizations consisting of …

This study proposes a versatile criterion for estimating quality of images in electrical
impedance tomography. The point spread function (PSF) is calculated throughout the …

Featured Application This work can improve the computational resources employed to
achieve a given accuracy in electromagnetic simulation. Abstract The adaptive mesh …

A convergence study of the forward problem of electrical impedance tomography is
performed using triangular high-order piecewise polynomial finite-element methods (p-FEM) …

In this work, we develop an efficient high order discontinuous Galerkin (DG) method for
solving the Electrical Impedance Tomography (EIT). EIT is a highly nonlinear ill-posed …

The design of a new magnetic resonance imaging (MRI) scanner requires multiple
numerical simulations of the same magneto‐mechanical problem for varying model …

In this work, we extend our previous work (Li and Wang, 2023) of the discontinuous Galerkin
(DG) method for Electrical Impedance Tomography (EIT) with full data to partial data where …

Employing the conventional quadratic norm to regularize the inverse problem in electrical
impedance tomography often stabilizes the solution at the expense of imposing some …