Mathematical modeling of the human heart and its function can expand our understanding of
various cardiac diseases, which remain the most common cause of death in the developed …

There has been an increasing interest in studying cardiac fibers in order to improve the
current knowledge regarding the mechanical and physiological properties of the heart …

Atlases and statistical models play important roles in the personalization and simulation of
cardiac physiology. For the study of the heart, however, the construction of comprehensive …

Kernel-based dimensionality reduction is a widely used technique in medical image
analysis. To fully unravel the underlying nonlinear manifold the selection of an adequate …

This paper presents a predictive framework for the statistical personalization of ventricular
fibers. To this end, the relationship between subject-specific geometry of the left (LV) and …

Purpose: Cardiac muscle fibers directly affect the mechanical, physiological, and
pathological properties of the heart. Patient‐specific quantification of cardiac fiber …

Cardiac fiber architecture plays an important role in electrophysiological and mechanical
functions of the heart. Yet, its inter-subject variability and more particularly, its relationship to …

There is growing interest to better understand drug-induced cardiovascular complications
and to predict undesirable side effects at as early a stage in the drug development process …

This paper presents a three-dimensional multiscale structure and object-oriented model to
generate a synthetic heart. This model consists of a series of elementary objects at different …

Recent progress in diffusion imaging has lead to in-vivo acquisitions of fiber orientation data
in the beating heart. Current methods are however limited in resolution to a few short-axis …