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Computational models have become a fundamental tool in cardiac research. Models are evolving to cover multiple scales and physical mechanisms. They are moving towards mechanistic descriptions of personalised structure and function, including effects of natural variability. These developments are underpinned to a large extent by advances in imaging technologies. This article reviews how novel imaging technologies, or the innovative use and extension of established ones, integrate with computational models and drive novel insights into cardiac biophysics. In terms of structural characterization, we discuss how imaging is allowing a wide range of scales to be considered, from cellular levels to whole organs. We analyse how the evolution from structural to functional imaging is opening new avenues for computational models, and in this respect we review methods for measurement of electrical activity, mechanics and flow. Finally, we consider ways in which combined imaging and modelling research is likely to continue advancing cardiac research, and identify some of the main challenges that remain to be solved.

Original publication

DOI

10.1016/j.pbiomolbio.2014.08.005

Type

Journal article

Journal

Prog Biophys Mol Biol

Publication Date

08/2014

Volume

115

Pages

198 - 212

Keywords

Computational cardiac physiology, Medical imaging, Animals, Computer Simulation, Diagnostic Imaging, Excitation Contraction Coupling, Heart Conduction System, Humans, Models, Cardiovascular, Myocardial Contraction, Ventricular Function