Bridging the gap between measurements and modelling: a cardiovascular functional avatar

Abstract Lumped parameter models of the cardiovascular system have the potential to assist researchers and clinicians to better understand cardiovascular function. The value of such models increases when they are subject specific. However, most approaches to personalize lumped parameter models have...

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Autores principales:	Belén Casas, Jonas Lantz, Federica Viola, Gunnar Cedersund, Ann F. Bolger, Carl-Johan Carlhäll, Matts Karlsson, Tino Ebbers
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f316dc372f3847c4a87b3dffc5b5683d
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spelling	oai:doaj.org-article:f316dc372f3847c4a87b3dffc5b5683d2021-12-02T15:05:53ZBridging the gap between measurements and modelling: a cardiovascular functional avatar10.1038/s41598-017-06339-02045-2322https://doaj.org/article/f316dc372f3847c4a87b3dffc5b5683d2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06339-0https://doaj.org/toc/2045-2322Abstract Lumped parameter models of the cardiovascular system have the potential to assist researchers and clinicians to better understand cardiovascular function. The value of such models increases when they are subject specific. However, most approaches to personalize lumped parameter models have thus far required invasive measurements or fall short of being subject specific due to a lack of the necessary clinical data. Here, we propose an approach to personalize parameters in a model of the heart and the systemic circulation using exclusively non-invasive measurements. The personalized model is created using flow data from four-dimensional magnetic resonance imaging and cuff pressure measurements in the brachial artery. We term this personalized model the cardiovascular avatar. In our proof-of-concept study, we evaluated the capability of the avatar to reproduce pressures and flows in a group of eight healthy subjects. Both quantitatively and qualitatively, the model-based results agreed well with the pressure and flow measurements obtained in vivo for each subject. This non-invasive and personalized approach can synthesize medical data into clinically relevant indicators of cardiovascular function, and estimate hemodynamic variables that cannot be assessed directly from clinical measurements.Belén CasasJonas LantzFederica ViolaGunnar CedersundAnn F. BolgerCarl-Johan CarlhällMatts KarlssonTino EbbersNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Belén Casas Jonas Lantz Federica Viola Gunnar Cedersund Ann F. Bolger Carl-Johan Carlhäll Matts Karlsson Tino Ebbers Bridging the gap between measurements and modelling: a cardiovascular functional avatar
description	Abstract Lumped parameter models of the cardiovascular system have the potential to assist researchers and clinicians to better understand cardiovascular function. The value of such models increases when they are subject specific. However, most approaches to personalize lumped parameter models have thus far required invasive measurements or fall short of being subject specific due to a lack of the necessary clinical data. Here, we propose an approach to personalize parameters in a model of the heart and the systemic circulation using exclusively non-invasive measurements. The personalized model is created using flow data from four-dimensional magnetic resonance imaging and cuff pressure measurements in the brachial artery. We term this personalized model the cardiovascular avatar. In our proof-of-concept study, we evaluated the capability of the avatar to reproduce pressures and flows in a group of eight healthy subjects. Both quantitatively and qualitatively, the model-based results agreed well with the pressure and flow measurements obtained in vivo for each subject. This non-invasive and personalized approach can synthesize medical data into clinically relevant indicators of cardiovascular function, and estimate hemodynamic variables that cannot be assessed directly from clinical measurements.
format	article
author	Belén Casas Jonas Lantz Federica Viola Gunnar Cedersund Ann F. Bolger Carl-Johan Carlhäll Matts Karlsson Tino Ebbers
author_facet	Belén Casas Jonas Lantz Federica Viola Gunnar Cedersund Ann F. Bolger Carl-Johan Carlhäll Matts Karlsson Tino Ebbers
author_sort	Belén Casas
title	Bridging the gap between measurements and modelling: a cardiovascular functional avatar
title_short	Bridging the gap between measurements and modelling: a cardiovascular functional avatar
title_full	Bridging the gap between measurements and modelling: a cardiovascular functional avatar
title_fullStr	Bridging the gap between measurements and modelling: a cardiovascular functional avatar
title_full_unstemmed	Bridging the gap between measurements and modelling: a cardiovascular functional avatar
title_sort	bridging the gap between measurements and modelling: a cardiovascular functional avatar
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/f316dc372f3847c4a87b3dffc5b5683d
work_keys_str_mv	AT belencasas bridgingthegapbetweenmeasurementsandmodellingacardiovascularfunctionalavatar AT jonaslantz bridgingthegapbetweenmeasurementsandmodellingacardiovascularfunctionalavatar AT federicaviola bridgingthegapbetweenmeasurementsandmodellingacardiovascularfunctionalavatar AT gunnarcedersund bridgingthegapbetweenmeasurementsandmodellingacardiovascularfunctionalavatar AT annfbolger bridgingthegapbetweenmeasurementsandmodellingacardiovascularfunctionalavatar AT carljohancarlhall bridgingthegapbetweenmeasurementsandmodellingacardiovascularfunctionalavatar AT mattskarlsson bridgingthegapbetweenmeasurementsandmodellingacardiovascularfunctionalavatar AT tinoebbers bridgingthegapbetweenmeasurementsandmodellingacardiovascularfunctionalavatar
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Bridging the gap between measurements and modelling: a cardiovascular functional avatar

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