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dc.contributor.authorNordbø, Øyvind
dc.contributor.authorLamata, P.
dc.contributor.authorLand, Sander
dc.contributor.authorNiederer, Steven A.
dc.contributor.authorAronsen, Jan Magnus
dc.contributor.authorLouch, William Edward
dc.contributor.authorSjaastad, Ivar
dc.contributor.authorMartens, Harald
dc.contributor.authorGjuvsland, Arne Bjørke
dc.contributor.authorTøndel, Kristin
dc.contributor.authorTorp, Hans
dc.contributor.authorLohezic, M
dc.contributor.authorSchneider, Jürgen
dc.contributor.authorRemme, Espen W.
dc.contributor.authorSmith, Nicolas P
dc.contributor.authorOmholt, Stig W
dc.contributor.authorVik, Jon Olav
dc.identifier.citationComputers in Biology and Medicine. 2014, 53 65-75.nb_NO
dc.description.abstractThe mouse is an important model for theoretical–experimental cardiac research, and biophysically based whole organ models of the mouse heart are now within reach. However, the passive material properties of mouse myocardium have not been much studied. We present an experimental setup and associated computational pipeline to quantify these stiffness properties. A mouse heart was excised and the left ventricle experimentally inflated from 0 to 1.44 kPa in eleven steps, and the resulting deformation was estimated by echocardiography and speckle tracking. An in silico counterpart to this experiment was built using finite element methods and data on ventricular tissue microstructure from diffusion tensor MRI. This model assumed a hyperelastic, transversely isotropic material law to describe the force–deformation relationship, and was simulated for many parameter scenarios, covering the relevant range of parameter space. To identify well-fitting parameter scenarios, we compared experimental and simulated outcomes across the whole range of pressures, based partly on gross phenotypes (volume, elastic energy, and short- and long-axis diameter), and partly on node positions in the geometrical mesh. This identified a narrow region of experimentally compatible values of the material parameters. Estimation turned out to be more precise when based on changes in gross phenotypes, compared to the prevailing practice of using displacements of the material points. We conclude that the presented experimental setup and computational pipeline is a viable method that deserves wider application.nb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.titleA computational pipeline for quantification of mouse myocardial stiffness parametersnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalComputers in Biology and Medicinenb_NO
dc.relation.projectStiftelsen Kristian Gerhard Jebsen: SKGJ-MED-005nb_NO
dc.relation.projectNorges forskningsråd: 178901nb_NO
dc.relation.projectNotur/NorStore: NN4653Knb_NO
cristin.unitnameRealfag og teknologi
cristin.unitnameInstitutt for husdyr- og akvakulturvitenskap

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal