Statistical shape models (SSMs) have by now been firmly established as a robust tool for
segmentation of medical images. While 2D models have been in use since the early 1990s …

For the last 15 years, Magnetic Resonance Imaging (MRI) has become a reference
examination for cardiac morphology, function and perfusion in humans. Yet, due to the …

Purpose: The authors propose 3D (2D+ time) novel, fast, robust, bidirectional coupled
parametric deformable models that are capable of segmenting left ventricle (LV) wall …

Segmentation of the left ventricle (LV) is a hot topic in cardiac magnetic resonance (MR)
images analysis. In this paper, we present an automatic LV myocardial boundary …

This study investigates fast detection of the left ventricle (LV) endo-and epicardium
boundaries in a cardiac magnetic resonance (MR) sequence following the optimization of …

In this paper, a new segmentation framework with prior knowledge is proposed and applied
to the left ventricles in cardiac Cine MRI sequences. We introduce a new formulation of the …

A fundamental step in the diagnosis of cardiovascular diseases, automatic left ventricle (LV)
segmentation in cardiac magnetic resonance images (MRIs) is still acknowledged to be a …

We propose to embed overlap priors in variational tracking of the left ventricle (LV) in cardiac
magnetic resonance (MR) sequences. The method consists of evolving two curves toward …

Active contours are image segmentation methods that minimize the total energy of the
contour to be segmented. Among the active contour methods, the radial methods have lower …

In this paper, we propose a graphcut method to segment the cardiac right ventricle (RV) and
left ventricle (LV) by using context information from each other. Contextual information is …