A personalized mitral valve closure simulator.
We describe a method for performing modeling and simulation to predict the closure of the Mitral Valve (MV) using patient specific anatomical information derived from 3D Transesophageal Echocardiography (3D TEE). The ability to predict the MV closure behavior is an important step along the way of developing personalized simulation tools that would allow a surgeon to perform preoperative planning and decide between various MV repair options. While the MV is an important use case because of its relevance and prevalence among reconstructive cardiac interventions, the study described here can provide a blueprint to perform pre-operative planning for other cardiac surgical interventions. The method reported here exploits the Saint Venant-Kirchhoff elasticity model that is tuned to match empirical observations of the MV strainstress behavior. Using intraoperative 3D TEE data, the proposed simulator was evaluated over 10 test cases and resulted in mean prediction absolute error values of 1.81 mm.
Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA.
P
P
Burlina
R
R
Mukherjee
C
C
Sprouse
D000465:Algorithms; D006348:Cardiac Surgical Procedures / Q000379:methods*; D003198:Computer Simulation; D019560:Echocardiography, Three-Dimensional / Q000379:methods*; D017548:Echocardiography, Transesophageal / Q000379:methods*; D006321:Heart / Q000502:physiology; D006801:Humans; D016014:Linear Models; D008943:Mitral Valve / Q000000981:diagnostic imaging* / Q000601:surgery; D008944:Mitral Valve Insufficiency / Q000000981:diagnostic imaging* / Q000601:surgery; D008945:Mitral Valve Prolapse / Q000000981:diagnostic imaging* / Q000601:surgery; D008955:Models, Cardiovascular; D015203:Reproducibility of Results; D025321:Surgery, Computer-Assisted / Q000379:methods*