Modeling Flow in Cerebral Aneurysm After Coils Embolization Treatment: A Realistic Patient-Specific Porous Model...

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Computational Fluid Dynamics

Background:

• Endovascular coiling is a key treatment for cerebral aneurysms.
• Computational fluid dynamics (CFD) aids in evaluating treatment efficacy.
• Current CFD methods struggle to accurately represent coil geometry due to imaging limitations.

Purpose of the Study:

• To develop a novel porous model for CFD simulations of coiled cerebral aneurysms.
• To incorporate coil porosity heterogeneity into the model.
• To improve the accuracy of CFD analysis for endovascular treatment evaluation.

Main Methods:

• Quantified coil porosity heterogeneity using 3D X-ray synchrotron images from patient phantoms.
• Calculated permeability and inertial factors from image data.
• Developed and validated a 'porous crowns model' against coil-resolved simulations.

Main Results:

• The porous crowns model effectively captures porosity gradients near the aneurysm wall.
• Model parameters (permeability, inertial factor) align with ideal homogeneous models.
• Simulated mean velocity in the aneurysm sac closely matches coil-resolved simulations.

Conclusions:

• The porous crowns model provides an accurate representation of mean blood flow in coiled cerebral aneurysms.
• This model enhances CFD simulations for endovascular treatment analysis.
• Improved modeling can lead to better patient outcomes.