[00685] Mathematical modeling, simulation and optimization in stroke risk assessment
Session Time & Room : 2C (Aug.22, 13:20-15:00) @E820
Type : Proposal of Minisymposium
Abstract : The aim of the minisymposium is to bring together scientists working on computational and mathematical analysis tools to improve clinical pathways in the exploration, analysis and treatment of stenosis to reduce the risk of ischemic stroke. Topics covered include novel methods for patient specific hemodynamic modeling and simulation, mathematical shape optimization for fluid-structure-interaction, and machine learning approaches. Combining these mathematical approaches with clinical data then allows to complement and improve existing tools for the exploration of risk sites of the corresponding arteries.
[03136] Hemodynamic modeling of directional shear risk metrics in the carotid artery
Format : Talk at Waseda University
Author(s) :
Anna Hundertmark (RPTU Kaiserslautern-Landau)
Kevin Richter (RPTU Kaiserslautern-Landau)
Tristan Probst (RPTU Kaiserslautern-Landau)
Abstract : We present a numerical evaluation of hemodynamic risk metrics and their multi-directional behavior in human
stenosed carotid artery. In the FSI model considered, the elastic modulus is strain-dependent in agreement with
laboratory compliance measurements. We investigate the multidirectional behavior of wall shear stress (WSS) based
on specially constructed longitudinal tangent vectors using centerline projection approach. We present the utility
of longitudinal WSS evaluation for the detection of opposing or transverse (injurious) WSS in slow flow.
[03760] Physiological flow simulations for stroke assessement and importance of distensiblity
Format : Talk at Waseda University
Author(s) :
Kevin Richter (RPTU Landau)
Abstract : In the process of bringing hemodynamic simulations to the clinical forefront we present the creation of a database that can offer guidance in the assessement of stroke risks in the carotid bifurcation area. We established a working pipeline for creating CFD simulations for over 100 patient-specific
geoemetries. The importance of realistic boundary conditions are highlighted. To incorporate realistic distensibility of the arterial wall, we compared simulations to in vivo experiments.
[03568] Predicting Stroke Risk with Graph Neural Networks and CFD Simulations
Format : Talk at Waseda University
Author(s) :
Rohit Pochampalli (RPTU Kaiserslautern)
Nicolas R. Gauger (RPTU Kaiserslautern)
Abstract : We propose a novel approach for predicting stroke risk using graph neural networks (GNNs) and computational fluid dynamics (CFD) simulations. GNNs enable us to capture the complex, nonlinear relationships between the geometry of the blood vessel and features such as the distribution of shear stresses on the vessel walls, which are known to influence the development of atherosclerosis. Our approach provides new insights into the relationship between blood flow patterns and stroke risk, potentially enabling more personalized prevention and treatment strategies.
[03834] Shape optimization in applications of blood flows under uncertainties
Format : Online Talk on Zoom
Author(s) :
Georgios Bletsos (Hamburg University of Technology (TUHH))
Michael Hinze (Universität Koblenz)
Winnifried Wollner (University of Hamburg)
Thomas Rung (Hamburg University of Technology (TUHH))
Abstract : The goal of this study is to minimize the expected value and standard deviation of blood damaging metrics of biomedical geometries, by updating their shape while considering uncertainties of the flow or the blood modeling.
The robust shape optimization procedure is realized by means of a gradient-descent method. Gradient information is obtained by a hybrid stochastic-deterministic approach or by an adjoint-assisted method in which uncertainty quantification is realized based on the FOSM approach.
