Guest Lectures on Deformable Models

Monday, March 20th 2006

Niels Jernes Vej 14, Room 3-119

Aalborg University

 

Host and Chairman:

Associate Professor Claus Madsen, Computer Vision and Media Technology Laboratory

 

13.00   Professor Matthias Teschner, Freiburg University

Advances and Challenges in Interactive Deformable Modeling

14.30   Senior Research Scientist Hervé Delingette, INRIA Sophia-Antipolis

CardioSense3D : Towards an electro-mechanical model of the heart

 

Abstracts of Lectures

 

Advances and Challenges in Interactive Deformable Modeling
Professor Matthias Teschner, Freiburg University



The realistic simulation of complex deformable objects at interactive rates comprises a number of challenging problems, including deformable modeling, collision detection, and collision response.

1. The deformable modeling approach has to provide interactive update rates, while guaranteeing a stable simulation.  Furthermore, the approach has to represent objects with varying elasto-mechanical properties. 2. The collision detection algorithm has to handle large numbers of geometrically complex objects. In particular, the algorithm has to detect self-collisions of deforming objects. 3. The collision response method has to handle colliding and resting contacts among multiple deformable objects in a robust and consistent way. The method has to consider the fact that only sampled collision information is available due to the discretized object representations and the discrete-time simulation.

The presentation discusses solutions to the aforementioned simulation aspects. Interactive software demonstrations illustrate all models, algorithms, and their application to surgery simulation and games. Finally, ongoing research and potential challenges will be discussed.


CardioSense3D : Towards an electro-mechanical model of the heart

Senior Research Scientist Hervé Delingette, INRIA Sophia-Antipolis


There is an irreversible evolution of medical practice toward more quantitative and personalized decision procedures for prevention, diagnosis and therapy, based on ever larger and more complex sets of measurements.

This deep trend induces a crucial need for producing a new type of so-called computational models of the anatomy and the physiology of the human body, able to explain the observations, detect abnormalities, predict evolutions, as well as to simulate and evaluate therapies.

With more than 180 000 deaths per year, cardiovascular diseases represent the leading cause of death in France before cancer. Therefore, the simulation of the heart is receiving a growing attention, despite the high complexity of the cardiac function.

In this presentation, we present the work in progress of the research action CardioSense3D dedicated to building an electromechanical model of the heart. The objectives of this work is to provide an integrated model of electro-physiology and mechanical contraction/relaxation of the heart and to demonstrate its importance in improving medical practise. After shortly introducing the methodological aspects of this cardiac model, we will focus on the clinical evaluation of such model, based on invasive animal datasets but also on less invasive human datasets. All datasets are comprised of electro-physiological measures on the endocardium or epicardium and anatomical and motion information about the two ventricles.