Robust Computation in 2D Absolute EIT (A-EIT) Using D-Bar Methods with the “EXP” Approximation

Authors

Sarah J. Hamilton, Marquette UniversityFollow
J. L. Mueller, Colorado State University - Fort Collins
T. R. Santos, University of Sao Paulo, BrazilFollow

Document Type

Article

Language

eng

Publication Date

6-26-2018

Publisher

Institute of Physics and Engineering in Medicine

Source Publication

Physiological Measurement

Source ISSN

0967-3334

Abstract

Objective

Absolute images have important applications in medical Electrical Impedance Tomography (EIT) imaging, but the traditional minimization and statistical based computations are very sensitive to modeling errors and noise. In this paper, it is demonstrated that D-bar reconstruction methods for absolute EIT are robust to such errors.

Approach

The effects of errors in domain shape and electrode placement on absolute images computed with 2-D D-bar reconstruction algorithms are studied on experimental data.

Main Results

It is demonstrated with tank data from several EIT systems that these methods are quite robust to such modeling errors, and furthermore the artefacts arising from such modeling errors are similar to those occurring in classic time-difference EIT imaging.

Significance

This study is promising for clinical applications where absolute EIT images are desirable, but previously thought impossible.

Comments

Accepted version. Physiological Measurement, Vol. 39, No. 6 (June 26, 2018): 064005. DOI. © 2018 Institute of Physics and Engineering in Medicine. Used with permission.

Recommended Citation

Hamilton, Sarah J.; Mueller, J. L.; and Santos, T. R., "Robust Computation in 2D Absolute EIT (A-EIT) Using D-Bar Methods with the “EXP” Approximation" (2018). Mathematical and Statistical Science Faculty Research and Publications. 33.
https://epublications.marquette.edu/math_fac/33