Cardiac Medial Modeling

The Computational Imaging Lab at the Pompeu Fabra University is one of the world leaders in cardiac imaging and cardiac dynamics research. This collaborative project involves using branching cm-rep methodology to desribe the midventricular surface, with the following specific research aims:

Segmentation

Segementation of cardiac imaging is a challening problem. One challenge arises from the fact that the myocardium is very thin in some regions. By explicitly modeling the changes in thickness in the myocardium using the cm-rep approach, we will generate strong shape priors, which, we expect, will improve segmentation accuracy.

Shape Analysis

Medial models yield a rich set of statistical shape features such as thickness and the curvature of the midventricular surface. These features may prove to be strong discriminants in morphometric applications involving the heart and heart motion.

Cardiodynamic Analysis

Continuous medial models impose a shape-based coordinate parameterization on the interiors of structures that they describe. This parameterization provides a natural frame in which to analyze heart wall dynamics and the relationship between directions of motion and the orientation of cardiac fibers.

publications

members

collaborators

Alejandro Frangi, Universitat Pompeu Fabra, Barcelona

related projects

Continuous Medial Modeling

related themes

contact

cardiac@picsl.upenn.edu