Personalising Computational Cardiology
Dr. Steven Niederer (King's College London)
Thursday 7th November, 2013 14:00-15:00 Maths 326
Multi-scale computational models of the heart - linking electrophysiology, mechanics and anatomy - provide a rational framework for integrating clinical and physiological data within a biophysical framework. Here we demonstrate the technical development and application of these patient-specific models to provide insight into the response of heart failure patients to cardiac resynchronization therapy (CRT). In CRT the left and right ventricles are paced to re-coordinate electrical activation to produce a synchronous and efficient contraction. This procedure has emerged as one of the few effective and safe treatments for dyssynchronous heart failure. Despite this, 30-40% of patients fail to respond to treatment. Patient-specific models offer a novel approach to better understand the mechanisms responsible for patient response and to identify patients who will respond to treatment. Developing human scale models derived from clinical data requires the development of image processing, parameter estimation and high performance computing software to personalise and solve these models on clinical time scales. We illustrate the ability of these models to link patient outcome from CRT with sub cellular function, provide new clinical metrics of cardiac function, and evaluate new medical device technologies.