Impact of lung volume changes on perfusion estimates derived by Electrical Impedance Tomography

Electrical Impedance Tomography (EIT), an imaging technique which operates non-invasively and without radiation exposure, provides information about ventilation- and cardiac-synchronous (pulsatile) changes in the lung. It is well known, that perfusion within the thorax is influenced by lung volume o...

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Main Authors: Krueger-Ziolek Sabine, Gong Bo, Laufer Bernhard, Moeller Knut
Format: Article
Language:English
Published: De Gruyter 2019-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2019-0051
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spelling doaj-69adec47e6224b2d98173fc082b4b7c52021-09-06T19:19:27ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042019-09-015119920210.1515/cdbme-2019-0051cdbme-2019-0051Impact of lung volume changes on perfusion estimates derived by Electrical Impedance TomographyKrueger-Ziolek Sabine0Gong Bo1Laufer Bernhard2Moeller Knut3Institute of Technical Medicine, Furtwangen University, Jakob-Kienzle-Straße 17,Villingen-Schwenningen, GermanyInstitute of Technical Medicine, Furtwangen University,Villingen-Schwenningen, GermanyInstitute of Technical Medicine, Furtwangen University,Villingen-Schwenningen, GermanyInstitute of Technical Medicine, Furtwangen University,Villingen-Schwenningen, GermanyElectrical Impedance Tomography (EIT), an imaging technique which operates non-invasively and without radiation exposure, provides information about ventilation- and cardiac-synchronous (pulsatile) changes in the lung. It is well known, that perfusion within the thorax is influenced by lung volume or intrathoracic pressure. In this observational study, it shall be investigated if this phenomenon can be monitored by EIT. Therefore, the impact of the amount of air within the lung on the pulsatile EIT signal was evaluated by carrying out EIT measurements with a spontaneously breathing lung healthy subject holding the breath at three different inspiratory and three various expiratory volume levels during normal tidal breathing. For EIT data analysis, a region of interest was defined by including lung tissue and excluding the heart region. The EIT data revealed, that the shape and the amplitude of the pulsatile EIT signal (evaluated per heartbeat) during the phases of breath holding were dependent on the enclosed lung volume. For lung volumes > 4 L, the amplitude of the pulsatile EIT signal increased with rising inspiratory level and the shape remained almost unchanged. For lung volumes < 4 L, a change in shape was visible but the amplitude remained more or less the same with decreasing expiratory level. Since the results of this observational study show that the pulsatile EIT signal is influenced by the lung volume, it might be used in future to draw conclusions of cardiacpulmonary interactions or intrathoracic pressure states, benefitting the treatment of intensive care patients.https://doi.org/10.1515/cdbme-2019-0051electrical impedance tomographyperfusionventilationpulmonary pressurespontaneous breathing
collection DOAJ
language English
format Article
sources DOAJ
author Krueger-Ziolek Sabine
Gong Bo
Laufer Bernhard
Moeller Knut
spellingShingle Krueger-Ziolek Sabine
Gong Bo
Laufer Bernhard
Moeller Knut
Impact of lung volume changes on perfusion estimates derived by Electrical Impedance Tomography
Current Directions in Biomedical Engineering
electrical impedance tomography
perfusion
ventilation
pulmonary pressure
spontaneous breathing
author_facet Krueger-Ziolek Sabine
Gong Bo
Laufer Bernhard
Moeller Knut
author_sort Krueger-Ziolek Sabine
title Impact of lung volume changes on perfusion estimates derived by Electrical Impedance Tomography
title_short Impact of lung volume changes on perfusion estimates derived by Electrical Impedance Tomography
title_full Impact of lung volume changes on perfusion estimates derived by Electrical Impedance Tomography
title_fullStr Impact of lung volume changes on perfusion estimates derived by Electrical Impedance Tomography
title_full_unstemmed Impact of lung volume changes on perfusion estimates derived by Electrical Impedance Tomography
title_sort impact of lung volume changes on perfusion estimates derived by electrical impedance tomography
publisher De Gruyter
series Current Directions in Biomedical Engineering
issn 2364-5504
publishDate 2019-09-01
description Electrical Impedance Tomography (EIT), an imaging technique which operates non-invasively and without radiation exposure, provides information about ventilation- and cardiac-synchronous (pulsatile) changes in the lung. It is well known, that perfusion within the thorax is influenced by lung volume or intrathoracic pressure. In this observational study, it shall be investigated if this phenomenon can be monitored by EIT. Therefore, the impact of the amount of air within the lung on the pulsatile EIT signal was evaluated by carrying out EIT measurements with a spontaneously breathing lung healthy subject holding the breath at three different inspiratory and three various expiratory volume levels during normal tidal breathing. For EIT data analysis, a region of interest was defined by including lung tissue and excluding the heart region. The EIT data revealed, that the shape and the amplitude of the pulsatile EIT signal (evaluated per heartbeat) during the phases of breath holding were dependent on the enclosed lung volume. For lung volumes > 4 L, the amplitude of the pulsatile EIT signal increased with rising inspiratory level and the shape remained almost unchanged. For lung volumes < 4 L, a change in shape was visible but the amplitude remained more or less the same with decreasing expiratory level. Since the results of this observational study show that the pulsatile EIT signal is influenced by the lung volume, it might be used in future to draw conclusions of cardiacpulmonary interactions or intrathoracic pressure states, benefitting the treatment of intensive care patients.
topic electrical impedance tomography
perfusion
ventilation
pulmonary pressure
spontaneous breathing
url https://doi.org/10.1515/cdbme-2019-0051
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