Physically-coherent Extraction of Mitral Valve Chordae

Daryna Panicheva (1) , Pierre-Frédéric Villard (1, 2) , Peter Hammer (3) , Marie-Odile Berger (1, 4)

1 MAGRIT-POST - Augmentation visuelle d'environnements complexes
2 SEAS - Harvard John A. Paulson School of Engineering and Applied Sciences
3 HMS - Harvard Medical School [Boston]
4 MAGRIT - Visual Augmentation of Complex Environments

Surgical repair of the mitral valve is challenging as it is difficult to anticipate the outcome of any modification of the valve structure, particularly the tendinous chordae. Recent works on computer-based models of mitral valve behavior rely on manual extraction of the complex valve geometry, which is tedious and requires a high level of expertise. On the contrary, we propose a method to segment the chordae with little human supervision. The effectiveness of our approach is shown by comparing our segmen-tation to the manual delineation via the simulation of the closed valve state.

Mots clés: FEM simulation; segmentation methodologies; Topology-based image analysis

Domaines: Modélisation et simulation

Daryna Panicheva, Pierre-Frédéric Villard, Peter Hammer, Marie-Odile Berger. Physically-coherent Extraction of Mitral Valve Chordae. International Conference in Computing in Cardiology, Sep 2019, Singapore, Singapore. pp.4. ⟨hal-02368810⟩