title: Image-Based Predictive Modeling of Heart Mechanics.
abstract: Personalized biophysical modeling of the heart is a useful approach for noninvasively analyzing and predicting in vivo cardiac mechanics. Three main developments support this style of analysis: state-of-the-art cardiac imaging technologies, modern computational infrastructure, and advanced mathematical modeling techniques. In vivo measurements of cardiac structure and function can be integrated using sophisticated computational methods to investigate mechanisms of myocardial function and dysfunction, and can aid in clinical diagnosis and developing personalized treatment. In this article, we review the state-of-the-art in cardiac imaging modalities, model-based interpretation of 3D images of cardiac structure and function, and recent advances in modeling that allow personalized predictions of heart mechanics. We discuss how using such image-based modeling frameworks can increase the understanding of the fundamental biophysics behind cardiac mechanics, and assist with diagnosis, surgical guidance, and treatment planning. Addressing the challenges in this field will require a coordinated effort from both the clinical-imaging and modeling communities. We also discuss future directions that can be taken to bridge the gap between basic science and clinical translation.
authors.affiliation: Auckland Bioengineering Institute and.
authors.forename: V Y
authors.initials: VY
authors.lastname: Wang
authors.affiliation: Auckland Bioengineering Institute and.|Department of Engineering Science, Faculty of Engineering, University of Auckland, Auckland 1010, New Zealand; email: vicky.wang@auckland.ac.nz , p.nielsen@auckland.ac.nz , martyn.nash@auckland.ac.nz.
authors.forename: P M F
authors.initials: PM
authors.lastname: Nielsen
authors.affiliation: Auckland Bioengineering Institute and.|Department of Engineering Science, Faculty of Engineering, University of Auckland, Auckland 1010, New Zealand; email: vicky.wang@auckland.ac.nz , p.nielsen@auckland.ac.nz , martyn.nash@auckland.ac.nz.
authors.forename: M P
authors.initials: MP
authors.lastname: Nash
mesh_terms: D000818:Animals; D001696:Biomechanical Phenomena; D001698:Biomedical Engineering; D055592:Biophysical Phenomena; D056324:Diffusion Tensor Imaging; D006321:Heart / Q000033:anatomy & histology* / Q000502:physiology*; D006439:Hemodynamics; D006801:Humans; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D008955:Models, Cardiovascular; D009200:Myocardial Contraction; D009206:Myocardium / Q000648:ultrastructure; D014057:Tomography, X-Ray Computed
keywords: cardiac imaging; in vivo cardiac mechanics; in vivo myocardial constitutive properties.; personalized biophysical modeling