Mitral regurgitation is the most prevalent heart valve disease in the western population. When severe, it requires surgical treatment, repair being the preferred option. The edgetoedge repair technique treats mitral regurgitation by suturing the leaflets together and creating a doubleorifice valve. Due to its relative simplicity and versatility, it has become progressively more widespread. Recently, its percutaneous version has become feasible, and has raised interest thanks to the positive results of the Mitraclip device. Edgetoedge features and evolution have stimulated debate and multidisciplinary research by both clinicians and engineers. After providing an overview of representative studies in the field, here we propose a novel computational approach to the most recent percutaneous evolution of the edgetoedge technique. Imagebased structural finite element models of three mitral valves affected by posterior prolapse were derived from cinecardiac magnetic resonance imaging. The models accounted for the patientspecific 3D geometry of the valve, including leaflet compound curvature pattern, patientspecific motion of annulus and papillary muscles, and hyperelastic and anisotropic mechanical properties of tissues. The biomechanics of the three valves throughout the entire cardiac cycle was simulated before and after Mitraclip implantation, assessing the biomechanical impact of the procedure. For all three simulated MVs, Mitraclip implantation significantly improved systolic leaflets coaptation, without inducing major alterations in systolic peak stresses. Diastolic orifice area was decreased, by up to 58.9%, and leaflets diastolic stresses became comparable, although lower, to systolic ones. Despite established knowledge on the edgetoedge surgical repair, latest technological advances make its percutanoues implementation a challenging field of research. The modeling approach herein proposed may be expanded to analyze clinical scenarios that are currently critical for Mitraclip implantation, helping the search for possible solutions.