Three-dimensional (3-D) imaging of the heart is a rapidly developing area of research in
medical imaging. Advances in hardware and methods for fast spatio-temporal cardiac …

Deformable models have raised much interest and found various applications in the fields of
computer vision and medical imaging. They provide an extensible framework to reconstruct …

A novel method is introduced for the generation of landmarks for three-dimensional (3-D)
shapes and the construction of the corresponding 3-D statistical shape models. Automatic …

We present a fast and accurate tool for semiautomatic segmentation of volumetric medical
images based on the live wire algorithm, shape-based interpolation and a new optimization …

Ultrasound is a main noninvasive modality for the assessment of the heart function. Wall
tracking from ultrasound data is, however, inherently difficult due to weak echoes, clutter …

We propose a method for extracting the left ventricular (LV) contours from left
ventriculograms by means of a neural edge detector (NED) in order to extract the contours …

Existing methods for incorporating subspace model constraints in shape tracking use only
partial information from the measurements and model distribution. We propose a unified …

Background—Quantitative assessment of regional myocardial function has important
diagnostic implications in cardiac disease. Recent advances in CT imaging technology have …

The popularity of magnetic resonance (MR) imaging in medicine is no mystery: it is non-
invasive, it produces high quality structural and functional image data, and it is very versatile …

This paper presents a 4D (3D+ time) echocardiographic image anisotropic filtering and a 3D
model-based segmentation system. To improve the extraction of left ventricle boundaries …