Virtual Heart Models: Multi-Physics Approaches to Computational Cardiology (VHEART)

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2015-8-31

Author

Göktepe, Serdar

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Heart disease is the number one cause of death in industrialized nations. Despite the broad class of treatment techniques such as medication, surgery and tissue-engineered therapies, heart disease remains to be one of the most frequent, disabling, and life-threatening diseases. In Europe it accounts for almost half of overall annual mortality rate. In the European Union (EU) alone, cardiovascular disease causes over 2 million deaths per year. The cost of cardiovascular disease to the EU economy is €192 billion per year. As opposed to the traditional trial-and-error based therapies, a systematic, personalized simulation-aided approach offers a great potential for understanding, diagnosing, and treating heart failure through the sound understanding of functional and structural changes in the infarcted tissue and the computational tools of multi-scale solid mechanics. The proposed research aims: (1) to develop multi-scale models of computational cardiac electrophysiology, (2) to model the fully coupled electromechanics of the heart through a novel micro-structurally based kinematic approach, (3) to couple the electromechanical computational tool with the ionic models of cardiac electrophysiology, (4) to employ the new multi-scale tools of computational cardiology to explore the underlying complex mechanisms of heart diseases and thereby guide personalized cardiac therapies. The anticipated outcomes are: (A) a multi-scale computational electrophysiological tool that incorporates multi-physics ionic models in the implicit bidomain framework, (B) a better understanding of underlying physiological reasons for electrophysiological cardiac disease such as arrhythmia, left and right bundle blocks, (C) a novel, micro-structurally based, computationally efficient, modular electromechanical computational tool, (D) a virtual test environment for the patient-specific optimization of cardiac therapies and surgical procedures.

Subject Keywords

Virtual heart model, Heart disease, Multiscale modelling, Cardiac muscl, Treatment regime

URI

https://cordis.europa.eu/project/id/294161
https://hdl.handle.net/11511/58253

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Department of Civil Engineering, Project and Design

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Citation Formats

S. Göktepe, “Virtual Heart Models: Multi-Physics Approaches to Computational Cardiology (VHEART),” 2015. Accessed: 00, 2020. [Online]. Available: https://cordis.europa.eu/project/id/294161.