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Updated: Jun 28, 2026

Myocardial Infarction by Percutaneous Embolization Coil Deployment in a Swine Model

Myocardial Infarction by Percutaneous Embolization Coil Deployment in a Swine Model

Published on: November 4, 2021

Interactive simulation of embolization coils: modeling and experimental validation.

Jérémie Dequidt¹, Maud Marchal, Christian Duriez

¹Project-Team Alcove, INRIA Nord-Europe, France. jeremie.dequidt@lifl.fr

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|November 5, 2008

Summary

This summary is machine-generated.

This study introduces a new simulation model for coil embolization, a less invasive treatment for aneurysms. The advanced model ensures accurate and interactive simulations, aiding physicians in planning complex intracranial procedures.

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Myocardial Infarction by Percutaneous Embolization Coil Deployment in a Swine Model

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Published on: November 4, 2021

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Area of Science:

Biomedical Engineering
Neurosurgery
Medical Imaging

Background:

Coil embolization is a minimally invasive endovascular technique used to treat aneurysms.
Accurate coil deployment is critical, especially for intracranial aneurysms, requiring meticulous planning and execution by experienced radiologists.
Current limitations in predicting coil behavior necessitate improved simulation tools for pre-procedural planning.

Purpose of the Study:

To develop an original, accurate, and interactive simulation model for coil deployment in aneurysm treatment.
To incorporate geometric nonlinearities and a shape memory formulation for precise modeling of complex coil geometry.
To validate the simulation model through experimental comparison and assess its computational performance for interactive use.

Main Methods:

Development of a novel computational model for simulating coil deployment, accounting for geometric nonlinearities.
Implementation of a shape memory formulation to accurately represent the complex geometry and behavior of embolic coils.
Experimental validation in a contact-free environment to determine mechanical properties and compare simulation results with real-world data.

Main Results:

The proposed model achieves interactive and accurate simulations of coil deployment.
Experimental validation confirmed the model's ability to quantitatively predict coil behavior.
Computational performance was assessed, ensuring the feasibility of interactive simulations for clinical application.

Conclusions:

The developed simulation model offers a valuable tool for physicians performing coil embolization, enhancing procedural accuracy and planning.
This approach provides crucial insights into coil behavior, potentially improving patient outcomes in aneurysm treatment.
The combination of advanced modeling and experimental validation represents a significant step forward in interventional neuroradiology simulation.