Biomechanical Risk Stratification for Cardiovascular Diseases

Speaker: Professor Zhiyong Li 
Affiliation: Queensland University of Technology

Abstract

I will introduce our work in image-based computational modelling techniques which can accurately quantify the biomechanical parameters that are associated with plaque vulnerability. Our results from patient data demonstrated this approach could better detect the vulnerable plaques. I will summarize our work in imaging-based computational modelling and simulation of the interaction between blood flow and atherosclerotic plaque. I will also discuss our recent developments in multiphysical modelling of plaque progression and destabilization. The model development builds upon current understanding of plaque vulnerability to develop patient-specific models for the individual quantification of plaque progression. The computational analysis can be incorporated into medical imaging technology, leading to a considerable advancement of medical imaging technology and industry. The developed patient-specific model and the new risk factors can be used to better assess plaque vulnerability, make more accurate predictions for plaque rupture, and allow actions to be taken in a timely manner to reduce risk of eventual fatal events on an individual basis. Other applications of our computational methods and models, including brain aneurysm and atrial fibrillation will also be discussed in the talk.