Literature DB >> 8626190

Impedance imaging of lung ventilation: do we need to account for chest expansion?

A Adler1, R Guardo, Y Berthiaume.   

Abstract

Electrical impedance tomography (EIT) uses surface electrical measurements to image changes in the conductivity distribution within a medium. When used to measure lung ventilation, however, measurements depend both on conductivity changes in the thorax and on rib cage movement. Given that currently available reconstruction techniques assume that only conductivity changes are present, certain errors are introduced. A finite element model (FEM) is used to calculate the effect of chest expansion on the reconstructed conductivity images. Results indicate that thorax expansion accounts for up to 20% of the reconstructed image amplitude and introduces an artifact in the center of the image tending to "move" the reconstructed lungs closer together. Although this contribution varies depending on anatomical factors, it is relatively independent of inspiration depth. For certain applications in which one is only interested in changes in the level of physiological activity, the effect of the expansion can be neglected because it varies linearly with impedance changes. We conclude that chest expansion can contribute significantly to the conductivity images of lung ventilation and should be taken into account in the interpretation of these images.

Mesh:

Year:  1996        PMID: 8626190     DOI: 10.1109/10.486261

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  14 in total

1.  Impact of model shape mismatch on reconstruction quality in electrical impedance tomography.

Authors:  Bartłomiej Grychtol; William R B Lionheart; Marc Bodenstein; Gerhard K Wolf; Andy Adler
Journal:  IEEE Trans Med Imaging       Date:  2012-05-22       Impact factor: 10.048

2.  Imaging cardiac activity by the D-bar method for electrical impedance tomography.

Authors:  D Isaacson; J L Mueller; J C Newell; S Siltanen
Journal:  Physiol Meas       Date:  2006-04-18       Impact factor: 2.833

3.  Reconstructions of conductive and insulating targets using the D-bar method on an elliptical domain.

Authors:  E K Murphy; J L Mueller; J C Newell
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

4.  EIT image reconstruction with four dimensional regularization.

Authors:  Tao Dai; Manuchehr Soleimani; Andy Adler
Journal:  Med Biol Eng Comput       Date:  2008-07-17       Impact factor: 2.602

5.  Electrical Impedance Tomography: a new study method for neonatal Respiratory Distress Syndrome?

Authors:  I Chatziioannidis; T Samaras; N Nikolaidis
Journal:  Hippokratia       Date:  2011-07       Impact factor: 0.471

6.  Optical breast shape capture and finite-element mesh generation for electrical impedance tomography.

Authors:  J Forsyth; A Borsic; R J Halter; A Hartov; K D Paulsen
Journal:  Physiol Meas       Date:  2011-06-07       Impact factor: 2.833

7.  Ventilation inhomogeneity in obstructive lung diseases measured by electrical impedance tomography: a simulation study.

Authors:  B Schullcke; S Krueger-Ziolek; B Gong; R A Jörres; U Mueller-Lisse; K Moeller
Journal:  J Clin Monit Comput       Date:  2017-10-10       Impact factor: 2.502

8.  Mutual information as a measure of image quality for 3D dynamic lung imaging with EIT.

Authors:  M G Crabb; J L Davidson; R Little; P Wright; A R Morgan; C A Miller; J H Naish; G J M Parker; R Kikinis; H McCann; W R B Lionheart
Journal:  Physiol Meas       Date:  2014-04-08       Impact factor: 2.833

9.  Human CT Measurements of Structure/Electrode Position Changes During Respiration with Electrical Impedance Tomography.

Authors:  Jie Zhang; Lihong Qin; Tadashi Allen; Robert P Patterson
Journal:  Open Biomed Eng J       Date:  2013-11-15

10.  Functional validation and comparison framework for EIT lung imaging.

Authors:  Bartłomiej Grychtol; Gunnar Elke; Patrick Meybohm; Norbert Weiler; Inéz Frerichs; Andy Adler
Journal:  PLoS One       Date:  2014-08-11       Impact factor: 3.240

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