Authors:
M. Proença
1
;
F. Braun
1
;
M. Lemay
1
;
B. Grychtol
2
;
M. Bührer
3
;
M. Rapin
1
;
P. Krammer
4
;
S. Böhm
4
;
J. Solà
1
and
J.-Ph. Thiran
5
Affiliations:
1
Systems Division and Swiss Center for Electronics and Microtechnology (CSEM), Switzerland
;
2
German Cancer Research Center (DKFZ), Germany
;
3
University and ETH Zurich, Switzerland
;
4
Swisstom AG, Switzerland
;
5
Swiss Federal Institute of Technology (EPFL) and University Hospital Center (CHUV) and University of Lausanne (UNIL), Switzerland
Keyword(s):
Electrical Impedance Tomography, EIT, Cardiac, Pulsatility, Perfusion, Origin, Genesis, Source.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Cardiovascular Signals
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
Electrical impedance tomography (EIT) is a safe and low-cost imaging technology allowing the monitoring of ventilation. While most EIT studies have investigated respiration-related events, EIT-based cardiovascular applications have received increasing attention over the last years only. Variations in intra-thoracic blood volume induce impedance changes that can be monitored with EIT and used for the estimation of hemodynamic parameters. There is, however, increasing evidence that variations in blood volume are not the only factors contributing to cardiac impedance changes within the heart. The mechanical action of the myocardium and movement of the heart-lung interface are suspected to generate impedance changes of non-negligible amplitude. To test this hypothesis we designed a dynamic 2D bio-impedance model from segmented human magnetic resonance data. EIT simulations were performed and showed that EIT signals in the heart area might be dominated up to 70% by motion-induced impedanc
e changes.
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