Contact-resolved deployment of the Contour Neurovascular System in patient-specific intracranial aneurysms
Ratnadeep Pramanik, Fina Gießler, Martin Frank, Ivo Steinbrecher, Matthias Mayr, Sylvia Saalfeld, Alexander Popp
Abstract
While intrasaccular flow disruptors are widely used to treat wide-neck intracranial aneurysms, state-of-the-art patient-specific computational models routinely neglect the deployment mechanics by prescribing a pre-seated geometry. This shortcut oversimplifies the true physics and misrepresents the Contour Neurovascular System (CNS), whose critical biomechanical features, such as neck coverage, wall apposition, and migration resistance, are highly path-dependent. To resolve this limitation, we present a contact-resolved finite-element framework that explicitly computes the structural mechanics of implant deployment within patient-specific vascular environments. The device is discretized as a dual-layer interwoven Nitinol braid using geometrically exact beams, while the vascular wall is represented as a deformable hyperelastic shell. Non-linear frictional contact formulations govern complex wire-wire and wire-wall interactions under a staged release protocol. Evaluating three anatomical phenotypes reveals that the final equilibrium morphology is highly sensitive to tangential slip resistance and vertical release depth. Frictionless assumptions permit excessive post-contact sliding, whereas near-stick conditions enhance anchoring but restrict local compliance. Crucially, conventional geometric fast placement fails to capture these critical contact interactions and wall-supported mechanical equilibrium. This deployment-resolved framework establishes a biomechanically grounded foundation for downstream hemodynamics, fluid-structure interaction, and mechanobiological thrombus-formation modeling.
Create a lesson
Related papers
Automatic generation of exchange-correlation response kernels
Susi Lehtola
A unified gas-kinetic wave-particle method for multiscale gas-mixture flow with an elementary chemical reaction
Cao Junzhe, Wei Yufeng, Long Wenpei et al.
Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials
Youri Blom, Sofia Dutto, Alexandru Costache et al.
Rapidly Convergent Finite-Element Domain Decomposition Method With Two-Channel Transmission Conditions
Furkan Şık, Fernando L. Teixeira, Balasubramaniam Shanker
A sharp-diffuse interface model for intermittent and isolated topological transitions
Raaghav Ramani
Macroparticles with different weights relax to different temperatures in Particle-In-Cell simulations
Remi Lehe, Arianna Formenti, Justin R. Angus et al.