Electrical impedance tomography (EIT) uses electrical stimulation and measurement at the
body surface to image the electrical properties of internal tissues. It has the advantage of …

The impedance flow sensors have usually been considered as the competitive components
in the multi-flow measurement, primarily due to their advantages of fast response, high …

A statistical shape-constrained reconstruction (SSCR) framework is presented to incorporate
the statistical prior information of human lung shapes for lung electrical impedance …

Electrical Impedance tomography Adler, Andy and Gaburro, Romina and Lionheart, William
2015 MIMS EPrint: 2020.23 Manchester Ins Page 1 Electrical Impedance tomography Adler …

A feature-based inversion method is presented to incorporate structural prior information of
the human thorax for absolute imaging in electrical impedance tomography (EIT). A set of …

A method for including a priori information in the 2-dimensional D-bar algorithm is
presented. It is shown that this method also constitutes a nonlinear regularization strategy for …

Bedside imaging of ventilation and perfusion is a leading application of 2-D medical
electrical impedance tomography (EIT), in which dynamic cross-sectional images of the …

A shape-based statistical inversion method is proposed for Electrical Impedance
Tomography (EIT) and Ultrasound Reflection Tomography (URT) dual-modality imaging. It is …

Electrical Impedance Tomography (EIT) aims to recover the internal conductivity and
permittivity distributions of a body from electrical measurements taken on electrodes on the …

The aim of this paper is to demonstrate the feasibility of using spatial a priori information in
the 2-D D-bar method to improve the spatial resolution of EIT reconstructions of …