Direct 2-D Reconstructions of Conductivity and Permittivity From EIT Data on a Human Chest

A novel direct D-bar reconstruction algorithm is presented for reconstructing a complex conductivity distribution from 2-D EIT data. The method is applied to simulated data and archival human chest data. Permittivity reconstructions with the aforementioned method and conductivity reconstructions wit...

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Bibliographic Details
Published in:IEEE transactions on medical imaging Vol. 34; no. 1; pp. 267 - 274
Main Authors: Herrera, Claudia N. L., Vallejo, Miguel F. M., Mueller, Jennifer L., Lima, Raul G.
Format: Journal Article
Language:English
Published: United States IEEE 01-01-2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:A novel direct D-bar reconstruction algorithm is presented for reconstructing a complex conductivity distribution from 2-D EIT data. The method is applied to simulated data and archival human chest data. Permittivity reconstructions with the aforementioned method and conductivity reconstructions with the previously existing nonlinear D-bar method for real-valued conductivities depicting ventilation and perfusion in the human chest are presented. This constitutes the first fully nonlinear D-bar reconstructions of human chest data and the first D-bar permittivity reconstructions of experimental data. The results of the human chest data reconstructions are compared on a circular domain versus a chest-shaped domain.
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ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2014.2354333