The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …

The combination of computational models and biophysical simulations can help to interpret
an array of experimental data and contribute to the understanding, diagnosis and treatment …

The author proposes a method for simultaneous registration and segmentation of multi-
source images, using the multivariate mixture model (MvMM) and maximum of log-likelihood …

In order to simulate the cardiac function for a patient‐specific geometry, the generation of the
computational mesh is crucially important. In practice, the input is typically a set of …

Cardiac anatomy plays a crucial role in determining cardiac function. However, there is a
poor understanding of how specific and localised anatomical changes affect different …

Atlases encode valuable anatomical and functional information from a population. In this
work, a bi-ventricular cardiac atlas was built from a unique data set, which consists of high …

Postmortem computed tomography (PMCT) is a standard image modality used in forensic
death investigations. Case-and audience-specific visualizations are vital for identifying …

Large-scale electrophysiological simulations to obtain electrocardiograms (ECG) carry the
potential to produce extensive datasets for training of machine learning classifiers to, eg …

Statistical shape modeling is a powerful tool for visualizing and quantifying geometric and
functional patterns of the heart. After myocardial infarction (MI), the left ventricle typically …

Computational models of the heart are increasingly being used in the development of
devices, patient diagnosis and therapy guidance. While software techniques have been …