title: Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics.
abstract: With heart and cardiovascular diseases continually challenging healthcare systems worldwide, translating basic research on cardiac (patho)physiology into clinical care is essential. Exacerbating this already extensive challenge is the complexity of the heart, relying on its hierarchical structure and function to maintain cardiovascular flow. Computational modelling has been proposed and actively pursued as a tool for accelerating research and translation. Allowing exploration of the relationships between physics, multiscale mechanisms and function, computational modelling provides a platform for improving our understanding of the heart. Further integration of experimental and clinical data through data assimilation and parameter estimation techniques is bringing computational models closer to use in routine clinical practice. This article reviews developments in computational cardiac modelling and how their integration with medical imaging data is providing new pathways for translational cardiac modelling.
authors.affiliation: Division of Imaging Sciences and Biomedical Engineering, King's College London, St Thomas' Hospital, London SE1 7EH, UK; Inria and Paris-Saclay University, Bâtiment Alan Turing, 1 rue Honoré d'Estienne d'Orves, Campus de l'Ecole Polytechnique, Palaiseau 91120, France.
authors.forename: Radomir
authors.initials: R
authors.lastname: Chabiniok
authors.affiliation: Auckland Bioengineering Institute , University of Auckland , 70 Symonds Street, Auckland , New Zealand.
authors.forename: Vicky Y
authors.initials: VY
authors.lastname: Wang
authors.affiliation: Division of Imaging Sciences and Biomedical Engineering , King's College London , St Thomas' Hospital, London SE1 7EH , UK.
authors.forename: Myrianthi
authors.initials: M
authors.lastname: Hadjicharalambous
authors.affiliation: Division of Imaging Sciences and Biomedical Engineering , King's College London , St Thomas' Hospital, London SE1 7EH , UK.
authors.forename: Liya
authors.initials: L
authors.lastname: Asner
authors.affiliation: Division of Imaging Sciences and Biomedical Engineering , King's College London , St Thomas' Hospital, London SE1 7EH , UK.
authors.forename: Jack
authors.initials: J
authors.lastname: Lee
authors.affiliation: Inria, Asclepios team , 2004 route des Lucioles BP 93, Sophia Antipolis Cedex 06902 , France.
authors.forename: Maxime
authors.initials: M
authors.lastname: Sermesant
authors.affiliation: Departments of Mechanical Engineering, Bioengineering, and Cardiothoracic Surgery , Stanford University , 496 Lomita Mall, Durand 217, Stanford, CA 94306 , USA.
authors.forename: Ellen
authors.initials: E
authors.lastname: Kuhl
authors.affiliation: Auckland Bioengineering Institute , University of Auckland , 70 Symonds Street, Auckland , New Zealand.
authors.forename: Alistair A
authors.initials: AA
authors.lastname: Young
authors.affiliation: Inria and Paris-Saclay University, Bâtiment Alan Turing , 1 rue Honoré d'Estienne d'Orves, Campus de l'Ecole Polytechnique, Palaiseau 91120 , France.
authors.forename: Philippe
authors.initials: P
authors.lastname: Moireau
authors.affiliation: Auckland Bioengineering Institute, University of Auckland, 70 Symonds Street, Auckland, New Zealand; Department of Engineering Science, University of Auckland, 70 Symonds Street, Auckland, New Zealand.
authors.forename: Martyn P
authors.initials: MP
authors.lastname: Nash
authors.affiliation: Inria and Paris-Saclay University, Bâtiment Alan Turing , 1 rue Honoré d'Estienne d'Orves, Campus de l'Ecole Polytechnique, Palaiseau 91120 , France.
authors.forename: Dominique
authors.initials: D
authors.lastname: Chapelle
authors.affiliation: Division of Imaging Sciences and Biomedical Engineering , King's College London , St Thomas' Hospital, London SE1 7EH , UK.
authors.forename: David A
authors.identifier: 0000-0002-5363-4715
authors.initials: DA
authors.lastname: Nordsletten
keywords: cardiac mechanics; data–model fusion; heart mechanics; patient-specific modelling; translational cardiac modelling