Capturing Contact in Mitral Valve Dynamic Closure with Fluid-Structure Interaction Simulation - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue International Journal of Computer Assisted Radiology and Surgery Année : 2022

Capturing Contact in Mitral Valve Dynamic Closure with Fluid-Structure Interaction Simulation

Résumé

Realistic fluid-structure interaction (FSI) simulation of the mitral valve opens the way toward planning for surgical repair. In the literature, blood leakage is identified by measuring the flow rate but detailed information about closure efficiency is missing. We present in this paper an FSI model that improves the detection of blood leakage by building a map of contact. Methods: Our model is based on the immersed boundary method that captures a map of contact and perfect closure of the mitral valve, without the presence of orifice holes, which often appear with existing methods. We also identified important factors influencing convergence issues. Results: The method is demonstrated in three typical clinical situations: mitral valve with leakage, bulging, and healthy. In addition to the classical ways of evaluating MV closure, such as stress distribution and flow rate, the contact map provides easy detection of leakage with identification of the sources of leakage and a quality assessment of the closure. Conclusion: Our method significantly improves the quality of the simulation and allows the identification of regurgitation as well as a spatial evaluation of the quality of valve closure. Comparably fast simulation, ability to simulate large deformation, and capturing detailed contact are the main aspects of the study.
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Dates et versions

hal-03708218 , version 1 (29-06-2022)

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Nariman Khaledian, Pierre-Frédéric Villard, Marie-Odile Berger. Capturing Contact in Mitral Valve Dynamic Closure with Fluid-Structure Interaction Simulation. International Journal of Computer Assisted Radiology and Surgery, 2022, ⟨10.1007/s11548-022-02674-4⟩. ⟨hal-03708218⟩
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