Journal
INTERFACE FOCUS
Volume 6, Issue 2, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsfs.2015.0083
Keywords
cardiac mechanics; data-model fusion; heart mechanics; patient-specific modelling; translational cardiac modelling
Categories
Funding
- BHF New Horizons programme [NH/11/5/29058]
- EPSRC [EP/N011554/1]
- European Union [611823]
- New Zealand Government from Health Research Council of New Zealand
- Marsden Fund
- National Institute for Health Research (NIHR) Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust in partnership with King's College London
- NIHR Healthcare Technology Co-operative for Cardiovascular Disease at Guy's and St Thomas' NHS Foundation Trust
- British Heart Foundation [NH/11/5/29058] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/N011554/1] Funding Source: researchfish
- EPSRC [EP/N011554/1] Funding Source: UKRI
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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.
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