Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics

• Published in: Interface focus Vol. 6; no. 2; p. 20150083
• Main Authors: Chabiniok, Radomir, Wang, Vicky Y., Hadjicharalambous, Myrianthi, Asner, Liya, Lee, Jack, Sermesant, Maxime, Kuhl, Ellen, Young, Alistair A., Moireau, Philippe, Nash, Martyn P., Chapelle, Dominique, Nordsletten, David A.
• Format: Journal Article
• Language: English
• Published: England The Royal Society 06.04.2016; Royal Society publishing
• Subjects: Cardiac Mechanics; Data–model Fusion; Heart Mechanics; Mathematics; Numerical Analysis; Part II: Methodology Needed for Establishing a Clinically Relevant Human Physiome; Patient-Specific Modelling; Review; Translational Cardiac Modelling; data–model fusion; heart mechanics; cardiac mechanics; translational cardiac modelling; patient-specific modelling; data-model fusion
• ISSN: 2042-8898; 2042-8901
• DOI: 10.1098/rsfs.2015.0083

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.