This webinar organised by the VPHi Young Scientists Committee took place on Thursday 18 April 2024 at 11am CET: Dr Ing Marc Hirschvogel from Politecnico di Milano focused on "Distributed and reduced computational models and software for cardiac fluid-solid interaction" under the moderation of Benjamin Matheson, member of the VPHi Young Scientists Committee.
Recordings available at this link!
Abstract:
The ongoing prevalence of cardiovascular disease entities as the number one cause of mortality in the industrialized world drives the development of novel in-silico tools for assessment of cardiac function and disease characterization. Given the complexity and multiscale nature of biophysical processes involved, efficient physics-based simulations of the cardiovascular system remain challenging. This promotes the need for intelligent model designs blending between reduced and distributed representations, along with accessible software packages that propel research activities in this direction.
Concepts of modeling multi-physics phenomena in cardiac mechanics are presented, encompassing the fusion of distributed (3D) and reduced (0D) models of the heart and the circulatory system along with efficient model personalization. These allow to quantify ventricular growth & remodeling as well as function of novel cardiac assist devices for heart failure patients.
Further, blood flow-centered reduced models for cardiac fluid-solid interaction (FSI) are presented, where an efficient physics- and projection-based reduced-order model approach allows realistic hemodynamics assessment of patient-specific left ventricular FSI without the need for a structural representation of the myocardium.
To serve aforementioned purposes, the open-source cardiovascular physics solver Ambit is introduced, which encompasses efficient monolithic solution strategies of distributed and reduced models of patient-specific blood flow dynamics and beyond.
Biosketch:
Marc Hirschvogel is currently working as a Research Fellow at Politecnico di Milano (Italy), where he is researching scientific machine learning approaches for cardiac electro-mechanics in variable geometry. He is a trained Mechanical Engineer and holds a PhD from Technical University of Munich, succeeded by a postdoctoral research stay at Kingโs College London. His research interests encompass cardiac solid mechanics, growth & remodeling, as well as model reduction in cardiovascular fluid-structure interaction.
This webinar is organised within the VPHi Keynote Webinar series, a quarterly event organized by the VPHi Young Scientists Committee that provides a forum for access to senior community members and their expert competence for chiefly young scientists, but also to the VPH community as a whole.
With the series, VPHi wishes to:
