We propose a new numerical method to reconstruct the isotropic electrical conductivity from
measured restricted Dirichlet-to-Neumann map data in electrical impedance tomography …

The general purpose of this document is to develop a lightweight, portable ultrasound
computer tomography (USCT) system that enables noninvasive imaging of the inside of the …

We provide a rigorous Bayesian formulation of the EIT problem in an infinite dimensional
setting, leading to well-posedness in the Hellinger metric with respect to the data. We focus …

Electrical resistance tomography (ERT) is a promising measurement technique in industrial
process imaging. However, image reconstruction in ERT is an ill-posed inverse problem …

This paper provides an analysis of the linearized inverse problem in multifrequency
electrical impedance tomography. We consider an isotropic conductivity distribution with a …

Electrical impedance tomography (EIT) is a noninvasive medical imaging modality utilizing
the current-density/voltage data measured on the surface of the subject. Calderón's method …

Electrical Impedance Tomography (EIT) is a powerful imaging technique with diverse
applications, eg, medical diagnosis, industrial monitoring, and environmental studies. The …

The Inverse Electrical Impedance Tomography (EIT) problem on recovering electrical
conductivity tensor and potential in the body based on the measurement of the boundary …

The total variation (TV) regularization method has been used to solve the ill-posed inverse
problem of electrical resistance tomography (ERT), owing to its good ability to preserve …

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