An orifice shape-based reduced order model of patient-specific mitral valve regurgitation

Mitral valve regurgitation (MR) is one of the most prevalent valvular heart diseases. Its quantitative assessment challenging but crucial for treatment decisions. Using computational fluid dynamics (CFD), we developed a reduced order model (ROM) describing relationship between MR flow rates, transvalvular pressure differences, and size shape regurgitant orifice. Due to its low cost, this ROM could easily be implemented into clinical workflows support MR. We reconstructed mitral valves 43 patients from 3D transesophageal echocardiographic images estimated anatomic orifice areas using shrink-wrap algorithm. The shapes were quantified with three dimensionless parameters. Steady-state CFD simulations in performed analyse geometry hemodynamics. Based on results, ROMs increasing complexity defined, all which revealed very good agreement results mean bias below 3% rate. Classifying orifices two groups assigning group-specific coefficients limit predicting volumes 9.0 ml 5.7 at volume 57 ml.