Personalized Multi-Physics Modelling of Human Cardiac Function


Hao Gao, School of Mathematics and Statistics, University of Glasgow  


2018.12.10 15:00-16:00


520, Pao Yue-Kong Library


Heart disease is the leading killer worldwide, responsible for about 30% of all deaths each year. The incidence of heart failure post-myocardial infarction has remained persistently high. The mathematical modelling of heart function and the management of myocardial infarction have substantial potential for providing effective, reliable and consistent risk-stratification to clinicians, which is quietly revolutionising clinical practice.  In this talk, I will present our recent efforts in mathematical modelling human left ventricular function based on routine clinical cardiac magnetic resonance imaging, including immersed boundary method combined with finite element for multi-physics modelling, hyper-elastic anisotropic constitutive law for soft biological tissue, viso-hyperelastic porous medium modelling, personalization from limited non-invasive measured data, with application to myocardial infarction and amyloid patients. I will also talk about employing machine learning approaches in accelerating bio-mechanical model deployment in clinical setting. We strongly believe that personalized multi-scale/-physics mathematical modelling will provide cardiologists with more detailed information on myocardial injury and function, deeper and greater understanding of individual patients’ risk of heart failure and response to treatment.   Funding: EPSRC Centre for Multiscale Soft Tissue Mechanics (EP/N014642/1)