Adjoint-Based Estimation of Sensitivity of Clinical Measures to Boundary Conditions for Arteries

TL;DR

This paper explores the use of adjoint solvers to efficiently estimate how clinical measures in aneurysms are affected by unknown boundary conditions and geometry, providing both theoretical insights and practical computational methods.

Contribution

It introduces adjoint-based techniques for sensitivity analysis of clinical measures to boundary conditions in arteries, highlighting their theoretical and computational advantages.

Findings

Adjoint methods provide valuable sensitivity insights.

Techniques are computationally viable for clinical applications.

The approach enhances understanding of boundary condition impacts.

Abstract

The use of adjoint solvers is considered in order to obtain the sensitivity of clinical measures in aneurysms to incomplete (or unknown) boundary conditions and/or geometry. It is shown that these techniques offer interesting theoretical insights and viable computational tools to obtain these sensitivities.