Numerical simulation of endovascular treatment options for cerebral aneurysms

Author:

Frank Martin1,Holzberger Fabian2,Horvat Medeea2,Kirschke Jan3ORCID,Mayr Matthias14ORCID,Muhr Markus2,Nebulishvili Natalia2,Popp Alexander1,Schwarting Julian3,Wohlmuth Barbara2

Affiliation:

1. University of the Bundeswehr Munich Institute for Mathematics and Computer‐Based Simulation Neubiberg Germany

2. Technical University of Munich, School of Computation, Information and Technology, Department of Mathematics Chair for Numerical Mathematics Garching Germany

3. Department of Neuroradiology Technical University of Munich Munich Germany

4. University of the Bundeswehr Munich Data Science & Computing Lab Neubiberg Germany

Abstract

AbstractPredicting the long‐term success of endovascular interventions in the clinical management of cerebral aneurysms requires detailed insight into the patient‐specific physiological conditions. In this work, we not only propose numerical representations of endovascular medical devices such as coils, flow diverters or Woven EndoBridge but also outline numerical models for the prediction of blood flow patterns in the aneurysm cavity right after a surgical intervention. Detailed knowledge about the postsurgical state then lays the basis to assess the chances of a stable occlusion of the aneurysm required for a long‐term treatment success. To this end, we propose mathematical and mechanical models of endovascular medical devices made out of thin metal wires. These can then be used for fully resolved flow simulations of the postsurgical blood flow, which in this work will be performed by means of a Lattice Boltzmann method applied to the incompressible Navier–Stokes equations and patient‐specific geometries. To probe the suitability of homogenized models, we also investigate poro‐elastic models to represent such medical devices. In particular, we examine the validity of this modeling approach for flow diverter placement across the opening of the aneurysm cavity. For both approaches, physiologically meaningful boundary conditions are provided from reduced‐order models of the vascular system. The present study demonstrates our capabilities to predict the postsurgical state and lays a solid foundation to tackle the prediction of thrombus formation and, thus, the aneurysm occlusion in a next step.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

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