The heart is a complex system. From the transmembrane cell activity to the spatial
organization in helicoidal fibers, it includes several spatial and temporal scales. The heart …

The anisotropic electrical nature of the cardiac tissue, dependent on the fiber orientations
and corresponding conductivity tensor components, plays an important role in computational …

After a myocardial infarction, the affected areas of the cardiac tissue suffer changes in their
electrical and mechanical properties. This post-infarction scar tissue has been related with a …

We show the feasibility of embedding physiological coordinates and directions into a left
ventricle anatomical shape model using Proper Orthogonal Decomposition. The volumetric …

There has been considerable success applying deep learning to cardiac MRI segmentation.
However, segmentation masks have several shortcomings. In particular, they are discrete …

Executive summary Modelling the heartbeat is a highly complex task that involves several
scales and different tightly coupled problems. A large number of spatial orders of magnitude …

We propose a parametric low-rank representation of major characteristics of cardiomyocyte
orientation in a shape-adapted coordinate system from 3D high-resolution ex-vivo cDTI data …

The objective of this thesis is to use non-invasive data (body surface potential map**,
BSPM) to personalise the main parameters of a cardiac electrophysiological (EP) model for …