Magnetic resonance electrical impedance tomography (MREIT) is a recently developed imaging technique that combines MRI and electrical impedance tomography (EIT). In MREIT, cross-sectional electrical conductivity images are reconstructed from the internal magnetic field density data produced inside an electrically conducting subject when an electrical current is injected into the subject. In thi...

Electrical impedance tomography (EIT) is an imaging technique which, on a large scale, has been used to visualize and monitor physiological functions. The focus here is make this technique viable for monitoring cellular processes. To this end, an EIT-based sensor system is currently being developed and characterized. Initial testing with the setup allows for detection and location information o...

Absolute images have important applications in medical Electrical Impedance Tomography (EIT) imaging, but the computations are very sensitive to modeling errors and noise. In this paper the effects of errors in domain shape and electrode placement on absolute images computed with 2-D D-bar reconstruction algorithms are studied. It is demonstrated with experimental tank data from several EIT sys...

Electrical Impedance Tomography (EIT) is mainly used to display information about the respiration of a patient. However, also cardiac-related signals are present, and, although they have small amplitude, can be distinguished by their frequencies. In this contribution, we report method based on harmonic analysis separate and perfusion. These described summation amplitude-modulated at different W...

The present status of electrical impedance tomography (EIT) is such that many successful laboratory based studies and pilot plant demonstrators are generating interest in developing the technology. However, while the EIT problem is inherently 3D, many studies make 2D assumptions in order to simplify the problem. Proportionately less work has been carried out on the true 3D EIT problem, outside ...

Preserving spontaneous breathing during mechanical ventilation prevents muscle atrophy of the diaphragm, but may lead to ventilator induced lung injury (VILI). We present a case in which monitoring of trans-pulmonary pressure and ventilation distribution using Electrical Impedance Tomography (EIT) provided essential information for preventing VILI.

In this paper, we present a new pipeline for the fast and accurate segmentation of impedance images of the lungs using electrical impedance tomography (EIT). EIT is an emerging, promising, non-invasive imaging modality that produces real-time, low spatial but high temporal resolution images of impedance inside a body. Recovering impedance itself constitutes a nonlinear ill-posed inverse problem...

We consider the electrostatic inverse boundary value problem also known as electrical impedance tomography (EIT) for the case where the conductivity is a piecewise linear function on a domain Ω ⊂ Rn and we show that a Lipschitz stability estimate for the conductivity in terms of the local Dirichlet-to-Neumann map holds true.

A level set based shape and topology optimization approach to electrical impedance tomography (EIT) problems with piecewise constant conductivities is introduced. The proposed solution algorithm is initialized by using topological sensitivity analysis. Then it relies on the notion of shape derivatives to update the shape of the domains where the conductivity takes its different values.