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Automatic mapping of atrial fiber orientations for patient‐specific modeling of cardiac electromechanics using image registration

Knowledge of appropriate local fiber architecture is necessary to simulate patient‐specific electromechanics in the human heart. However, it is not yet possible to reliably measure in vivo fiber directions especially in human atria. Thus, we present a method that defines the fiber architecture in ar...

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Autores principales: Hoermann, Julia M., Pfaller, Martin R., Avena, Linda, Bertoglio, Cristóbal, Wall, Wolfgang A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619047/
https://www.ncbi.nlm.nih.gov/pubmed/30829001
http://dx.doi.org/10.1002/cnm.3190
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author Hoermann, Julia M.
Pfaller, Martin R.
Avena, Linda
Bertoglio, Cristóbal
Wall, Wolfgang A.
author_facet Hoermann, Julia M.
Pfaller, Martin R.
Avena, Linda
Bertoglio, Cristóbal
Wall, Wolfgang A.
author_sort Hoermann, Julia M.
collection PubMed
description Knowledge of appropriate local fiber architecture is necessary to simulate patient‐specific electromechanics in the human heart. However, it is not yet possible to reliably measure in vivo fiber directions especially in human atria. Thus, we present a method that defines the fiber architecture in arbitrarily shaped atria using image registration and reorientation methods based on atlas atria with fibers predefined from detailed histological observations. Thereby, it is possible to generate detailed fiber families in every new patient‐specific geometry in an automated, time‐efficient process. We demonstrate the good performance of the image registration and fiber definition on 10 differently shaped human atria. Additionally, we show that characteristics of the electrophysiological activation pattern that appear in the atlas atria also appear in the patients' atria. We arrive to analogous conclusions for coupled electro‐mechano‐hemodynamical computations.
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spelling pubmed-66190472019-07-22 Automatic mapping of atrial fiber orientations for patient‐specific modeling of cardiac electromechanics using image registration Hoermann, Julia M. Pfaller, Martin R. Avena, Linda Bertoglio, Cristóbal Wall, Wolfgang A. Int J Numer Method Biomed Eng Research Article ‐ Fundamental Knowledge of appropriate local fiber architecture is necessary to simulate patient‐specific electromechanics in the human heart. However, it is not yet possible to reliably measure in vivo fiber directions especially in human atria. Thus, we present a method that defines the fiber architecture in arbitrarily shaped atria using image registration and reorientation methods based on atlas atria with fibers predefined from detailed histological observations. Thereby, it is possible to generate detailed fiber families in every new patient‐specific geometry in an automated, time‐efficient process. We demonstrate the good performance of the image registration and fiber definition on 10 differently shaped human atria. Additionally, we show that characteristics of the electrophysiological activation pattern that appear in the atlas atria also appear in the patients' atria. We arrive to analogous conclusions for coupled electro‐mechano‐hemodynamical computations. John Wiley and Sons Inc. 2019-03-14 2019-06 /pmc/articles/PMC6619047/ /pubmed/30829001 http://dx.doi.org/10.1002/cnm.3190 Text en © 2019 The Authors International Journal for Numerical Methods in Biomedical Engineering Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article ‐ Fundamental
Hoermann, Julia M.
Pfaller, Martin R.
Avena, Linda
Bertoglio, Cristóbal
Wall, Wolfgang A.
Automatic mapping of atrial fiber orientations for patient‐specific modeling of cardiac electromechanics using image registration
title Automatic mapping of atrial fiber orientations for patient‐specific modeling of cardiac electromechanics using image registration
title_full Automatic mapping of atrial fiber orientations for patient‐specific modeling of cardiac electromechanics using image registration
title_fullStr Automatic mapping of atrial fiber orientations for patient‐specific modeling of cardiac electromechanics using image registration
title_full_unstemmed Automatic mapping of atrial fiber orientations for patient‐specific modeling of cardiac electromechanics using image registration
title_short Automatic mapping of atrial fiber orientations for patient‐specific modeling of cardiac electromechanics using image registration
title_sort automatic mapping of atrial fiber orientations for patient‐specific modeling of cardiac electromechanics using image registration
topic Research Article ‐ Fundamental
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619047/
https://www.ncbi.nlm.nih.gov/pubmed/30829001
http://dx.doi.org/10.1002/cnm.3190
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