Numerical modelling errors in electrical impedance tomography.

Advanced Electrode Models and Numerical Modelling for High Frequency Electrical Impedance Tomography Systems

Mathematical Framework for Abdominal Electrical Impedance Tomography to Assess Fatness

This paper presents a static electrical impedance tomography (EIT) technique that evaluates abdominal obesity by estimating the thickness of subcutaneous fat. EIT has a fundamental drawback for absolute admittivity imaging because of its lack of reference data for handling the forward modeling errors. To reduce the effect of boundary geometry errors in imaging abdominal fat, we develop a depth-...

Compensation of errors due to incorrect model geometry in electrical impedance tomography

Electrical impedance tomography (EIT) is a highly unstable problem with respect to measurement and modeling errors. This instability is especially severe when absolute imaging is considered. With clinical measurements, accurate knowledge about the body shape is usually not available, and therefore an approximate model domain has to be used in the computational model. It has earlier been shown t...

Detecting Inclusions in Electrical Impedance Tomography Without Reference Measurements

We develop a new variant of the factorization method that can be used to detect inclusions in electrical impedance tomography from either absolute current-to-voltage measurements at a single, nonzero frequency or from frequency-difference measurements. This eliminates the need for numerically simulated reference measurements at an inclusion-free body and thus greatly improves the method’s robus...

Electrode Misalignment Correction Algorithms In Magnetic Resonance Electrical Impedance Tomography

M. J. Hamamura, L. T. Muftuler, O. Birgul, O. Nalcioglu Tu & Yuen Center for Functional Onco-Imaging, University of California, Irvine, CA, United States Purpose In Magnetic Resonance Electrical Impedance Tomography (MREIT) electrical currents are injected into an object and the resulting magnetic flux density distribution measured using MRI. These MRI measurements are then used to reconstruct ...