Past Event: Oden Institute Seminar

A Machine Learning Model for Heart Valve Remodeling

Wenbo Zhang, CSEM Ph.D. student, Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for CSE, UT Austin

Abstract

Predictive structural constitutive models have been developed for time-evolving properties of exogenously cross-linked collagenous soft tissues under cyclic loading for remodeling of bioprosthetic heart valves. To simulate the long-term responses of novel heart valve designs, efficient constitutive models are crucial. To this end, we build a neural network model with improved efficiency that can replicate the responses of structural models for soft tissues with a range of fiber structures. The neural network constitutive model is integrated with high order structural tensors for mapping fiber structure, allowing patient-specific simulation. Bio Wenbo Zhang is a CSEM Ph.D. student in the Willerson Center for Cardiovascular Modeling and Simulation, supervised by Dr. Michael Sacks.