Influence of heart motion on cardiac output estimation by means of electrical impedance tomography: a case study.

Détails

ID Serval
serval:BIB_91F73D6EBE6A
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Etude de cas (case report): rapporte une observation et la commente brièvement.
Collection
Publications
Titre
Influence of heart motion on cardiac output estimation by means of electrical impedance tomography: a case study.
Périodique
Physiological Measurement
Auteur(s)
Proença M., Braun F., Rapin M., Solà J., Adler A., Grychtol B., Bohm S.H., Lemay M., Thiran J.P.
ISSN
1361-6579 (Electronic)
ISSN-L
0967-3334
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
36
Numéro
6
Pages
1075-1091
Langue
anglais
Notes
Publication types: Journal Article Publication Status: ppublish
Résumé
Electrical impedance tomography (EIT) is a non-invasive imaging technique that can measure cardiac-related intra-thoracic impedance changes. EIT-based cardiac output estimation relies on the assumption that the amplitude of the impedance change in the ventricular region is representative of stroke volume (SV). However, other factors such as heart motion can significantly affect this ventricular impedance change. In the present case study, a magnetic resonance imaging-based dynamic bio-impedance model fitting the morphology of a single male subject was built. Simulations were performed to evaluate the contribution of heart motion and its influence on EIT-based SV estimation. Myocardial deformation was found to be the main contributor to the ventricular impedance change (56%). However, motion-induced impedance changes showed a strong correlation (r = 0.978) with left ventricular volume. We explained this by the quasi-incompressibility of blood and myocardium. As a result, EIT achieved excellent accuracy in estimating a wide range of simulated SV values (error distribution of 0.57 ± 2.19 ml (1.02 ± 2.62%) and correlation of r = 0.996 after a two-point calibration was applied to convert impedance values to millilitres). As the model was based on one single subject, the strong correlation found between motion-induced changes and ventricular volume remains to be verified in larger datasets.
Pubmed
Web of science
Création de la notice
20/06/2015 9:11
Dernière modification de la notice
03/03/2018 19:30
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