Automatic extraction of the mitral valve chordae geometry for biomechanical simulation

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

1 TANGRAM - Recalage visuel avec des modèles physiquement réalistes
2 SEAS - Harvard John A. Paulson School of Engineering and Applied Sciences
3 HMS - Harvard Medical School [Boston]

Mitral valve computational models are widely studied in the literature. They can be used for preoperative planning or anatomical understanding. Manual extraction of the valve geometry on medical images is tedious and requires special training while automatic segmentation is still an open problem. We propose here a fully-automatic pipeline to extract the valve chordae architecture compatible with a computational model. First, an initial segmentation is obtained by sub-mesh topology analysis and RANSAC-like model-fitting procedure. Then the chordal structure is optimized with respect to objective functions based on mechanical, anatomical, and image-based considerations. The approach has been validated on 5 micro CT scans with a graph-based metric and has shown an 87.5% accuracy rate. The method has also been tested within a structural simulation of the mitral valve closed state. Conclusion: Our results show that the chordae architecture resulting from our algorithm can give results similar to experienced users while providing an equivalent biomechanical simulation.

Mots clés: Image-based modeling; Mitral valve; Graph-based validation; Biomechanical simulation

Domaines: Informatique [cs]

Daryna Panicheva, Pierre-Frédéric Villard, Peter E Hammer, Douglas Perrin, Marie-Odile Berger. Automatic extraction of the mitral valve chordae geometry for biomechanical simulation. International Journal of Computer Assisted Radiology and Surgery, 2021, Proceedings of IPCAI 2021, 16 (5), pp.709-720. ⟨10.1007/s11548-021-02368-3⟩. ⟨hal-03262496⟩