Tuesday, November 13, 2012
101 Stanley Thomas Hall
Tulane University (Uptown)
Refreshments will be served
Mette Olufsen, North Carolina State University, Department of Mathematics
Development and analysis of patient specific models in cardiovascular dynamics
Numerous models have been developed to predict aspects of cardiovascular dynamics ranging from simple lumped models to complex three-dimensional models predicting the fluid-structure interaction. Once a given model has been developed, for it to be a useful clinical tool for prediction of dynamics, the model must be adapted to patient specific data. One way to do this is by employing patient specific values. However, for most experiments only partial data is available. For quantities that are not measured most often standard literature values are used to adequately set up the model. Consequently, the model may not be able to reproduce measured dynamics, and therefore it may be difficult to use the model for patient specific prediction. One aspect of rendering a model patient specific involves parameter estimation, often done using optimization techniques. However, not all parameters are identifiable. In this talk we will discuss several models predicting cardiovascular dynamics and show how parameter identification and estimation techniques can be utilized to render these models patient specific.
Center for Computational Science, Stanley Thomas Hall 402, New Orleans, LA 70118 email@example.com