This image shows the depolarization times of a patient-specific heart.

This simulator has been developed at the end of my Ph.D. It includes two main steps: a catheter navigation in the cardiovascular system, and a second step of electrophysiology mapping. Using an hybrid (CPU-GPU) multihreaded architecture, this training system ensures a high level of interactivity and realism.

Once upon a time ...

This visualization is done for simulating endovascular navigation.

Based on GPU computing, our algorithm allows to compute the effect of cryoablation in the living tissues.

Liver with its boundary conditions

Insertion of a catheter in the hardware used to track the catheter motion.

Patient-specific heart geometry obtained from Cine-MRI images.

This is the result of a simulation coupling the electrophysiology-mechanical simulation.

For different reasons, the myocardial tissue can produce a disorder in the electrical conduction of the heart, thus causing a cardiac arrhythmia. When the arrhythmia is life-threatening, cardiologists need to ablate bthe area responsible for the pathology ased on radio-frequency (RF).

Iso-surface obtained from: (a) simulation, (b) patient-specific data (with Hausdorff dis-
tance) and (c) manufacturer.

The entire MIMESIS team at the team retreat 2015 in La Bresse (Vosges, FRANCE)>.