This article surveys deformable models, a promising and vigorously researched computer-
assisted medical image analysis technique. Among model-based techniques, deformable …

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 …

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 …

Magnetocardiography is a noninvasive contactless method to measure the magnetic field
generated by the same ionic currents that create the electrocardiogram. The time course of …

Segmentation of time series of 3D cardiac images is clinically used for the assessment of the
mechanical function of the left ventricle. To take into account the 4D (3D+ T) nature of those …

The automatic segmentation of the musculoskeletal system from medical images is a
particularly challenging task, due to its morphological complexity, its large variability in the …

We extend Lounsbery's multiresolution analysis wavelet-based theory for triangular 3D
meshes, which can only be applied to regularly subdivided meshes and thus involves a …

This paper presents a new and accurate three-dimensional (3-D) reconstruction technique
for the scoliotic spine from a pair of planar and conventional (postero-anterior with normal …

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 …