Correlation of Coronary and Myocardial Strain Profiles for Cardiac Resynchronization Therapy Year Two

Throughout my Doctoral Studies I have used various approaches to evaluate and/or predict the behaviour of cardiovascular structures in the setting of acquired disease. These have been focussed on two key methodologies: insilico testing aimed at predicting functional responses to therapeutic intervention, such as mechano-electric Finite Element Method (FEM) modelling of the left atrium strains and stresses in response to hypertension, and fluiddynamic FEM modelling of abdominal aortic aneurysms. This has allowed me to gain knowledge about selection of appropriate medically relevant approaches to simulation with respect to different biological structures, and about proper boundary condition setting in order to accurately set the correct environment within which organ-level simulations are run. Finally, I have learnt how to optimize such computational approaches in order to be able to run strain and stress mathematical modeling within clinically acceptable turnover times. Through such education, we can obtain proper prediction of organ response to different pharmaceutical, electrical or mechanical surgical therapeutic approaches, considering the different physics involved by the problem (fluid-dynamics, mechanical tissue behaviour and electrophysiology).

Faculty Supervisor:

James White

Student:

Partner:

Medtronic of Canada Ltd (Brampton, ON)

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Calgary

Program: