  Computational fluid dynamics (CFD) studies have been increasingly used for
blood flow simulations in intracranial aneurysms (ICAs). However, despite the
continuous progress of body-fitted CFD solvers, generating a high quality mesh
is still the bottleneck of the CFD simulation, and strongly affects the
accuracy of the numerical solution. To overcome this challenge, which will
allow preforming CFD simulations efficiently for a large number of aneurysm
cases we use an Immersed Boundary (IB) method. The proposed scheme relies on
Cartesian grids to solve the incompressible Navier-Stokes (N-S) equations,
using a finite element solver, and Lagrangian points to discretize the immersed
object. All grid generations are conducted through automated algorithms which
require no user input. Consequently, we verify the proposed method by comparing
our numerical findings (velocity values) with published experimental results.
Finally, we test the ability of the scheme to efficiently handle hemodynamic
simulations on complex geometries on a sample of four patient-specific
intracranial aneurysms.
