Integrative models of cardiac physiology are important for understanding disease and
planning intervention. Multimodal cardiovascular imaging plays an important role in defining …

Advances in computer speed, memory capacity, and hardware graphics acceleration have
made the interactive manipulation and visualization of complex, detailed (and therefore …

A representation of objects by their parts is the dominant strategy for representing complex
3D objects in many disciplines. In computer vision and robotics, superquadrics are among …

Physics-Based Deformable Models presents a systematic physics-based framework for
modeling rigid, articulated, and deformable objects, their interactions with the physical world …

We present a new approach for the analysis of the left ventricular shape and motion that is
based on the development of a new class of volumetric deformable models. We estimate the …

The authors present a new method for analyzing the motion of the heart's left ventricle (LV)
from tagged magnetic resonance imaging (MRI) data. Their technique is based on the …

In many computer vision and image understanding problems, it is important to find a smooth
surface that fits a set of given unstructured 3D data. Although approaches based on general …

Proposes and validates the hypothesis that one can use differential shape properties of the
myocardial surfaces to recover dense field motion from standard three-dimensional (3-D) …

This paper proposes a new scheme for multi-image projective reconstruction based on a
projective grid space. The projective grid space is defined by two basis views and the …

This paper reviews model-based methods for non-rigid shape recognition. These methods
model, match and classify non-rigid shapes, which are generally problematic for …