Development of a reduced-order model for understanding FL thrombosis in type B aortic dissection using a global sensitivity analysis and polynomial chaos expansion

In this study, we focus on developing a reduced-order model to understand the most significant morphological parameters influencing FL thrombosis in Type B Aortic Dissection using a combination of the thrombus formation model and global sensitivity analysis. The results provide valuable insights into how various morphological parameters influence FL thrombosis. Additionally, by introducing non-dimensional parameters, we aim to enable the ability to transfer results between patients. The sensitive parameters identified in this study play a crucial role in classifying morphologies into a patent, a partially thrombosed, and a completely thrombosed FL. Specifically, a polynomial chaos expansion (PCE) is used to create a reduced-order model that can be used for further analysis and optimization, leading to a more efficient and accurate understanding of TBAD.