Comparative modeling of the mitral valve in normal and prolapse conditions

Introduction: Computational modeling is one of the best non-invasive approaches to predicting functional behavior mitral valve (MV) in health and disease. Mitral prolapse (MVP) due partial or complete chordae tendineae rapture most common valvular disease results regurgitation (MR). Methods: In this study, Image-based fluid-structure interaction (FSI) models human MV are developed normal physiological posterior leaflet conditions. Detailed geometry healthy derived from Computed Tomography imaging data. To provide condition, some chords attached removed valve. Both prolapsed valves embedded separately a straight tubular blood volume simulated under systolic pressure loads. The Arbitrary Lagrangian-Eulerian finite element method used accommodate deforming intersection boundaries MV. Results: stress values components, also flow patterns including regurgitant rates obtained compared both conditions through simulation. These simulations have potential improve treatment patients with MVP, help surgeons more realistic insight into dynamics prolapse. Conclusion: model, computational show incomplete coaptation, higher MR severity, significant increment Moreover, it found deviation jet towards left atrium wall