Nonlinear D-bar Reconstructions of 2D Human EIT Data with an Optimized Spatial PriorMS20

In recent years, advances in D-bar reconstruction methods for 2D EIT have resulted in a priori methods, wherein prior spatial information is included in the D-bar equations. These methods have been demonstrated to produce improved spatial resolution in reconstructions of computer-simulated EIT data. In this talk, we present the first human data reconstructions computed using a priori D-bar techniques, including still and moving images of human tidal breathing and a comparison with standard D-bar reconstructions.

This presentation is part of Minisymposium “MS20 - Advances in Reconstruction Methods for Electrical Impedance Tomography (3 parts)
organized by: Melody Alsaker (Gonzaga University) , Samuli Siltanen (University of Helsinki) .

Melody Alsaker (Gonzaga University)
Jennifer Mueller (Colorado State University)
Rashmi Murthy (Colorado State University)
d-bar, eit, image reconstruction, inverse problems