A semi-automatic framework to build patient-specific models of mitral valve from medical images under user guidance.
Chordae rest length and material parameters are optimized to calibrate patient-specific models to simulate mitral valve closure consistently with observations from TEE images.
First study to our knowledge to estimate material parameters of mitral leaflets on humans from TEE images.
Simulated mitral valve closure from 14 sets of images on 15 patients are compared to the ground truth estimated from TEE images with promising accuracy.