Flow MRI simulation in complex 3D geometries: Application to the cerebral venous network.

Area of Science:

• Medical Imaging
• Computational Fluid Dynamics
• Magnetic Resonance Imaging (MRI)

Background:

• Simulation of magnetic resonance imaging (MRI) spin flow motion is crucial for understanding flow artifacts and angiography.
• Current MRI simulators often lack the capability to model complex fluid dynamics, being limited to static tissue imaging.

Purpose of the Study:

• To develop and evaluate a comprehensive tool for simulating 3D fluid flows within MRI.
• To extend the JEMRIS open-source simulation platform to incorporate advanced fluid dynamics modeling.

Main Methods:

• Implemented a Lagrangian description of fluid flow within the JEMRIS simulation platform.
• Validated the simulation framework by comparing results with physical flow phantom experiments.
• Performed realistic 3D flow MRI simulations of the cerebral venous network.

Main Results:

• Achieved good agreement between simulation results and real-world experimental data.
• Demonstrated the framework's capability to simulate common flow artifacts like misregistration and inflow enhancement.
• Successfully applied the tool to simulate phase contrast (PC) velocimetry, time-of-flight, and contrast-enhanced MRA techniques.

Conclusions:

• The developed framework offers a versatile and reusable solution for simulating diverse MRI experiments.
• Enables the simulation of physiological fluid dynamics and complex flow patterns in MRI.
• Advances the field of MRI simulation by integrating sophisticated fluid dynamics capabilities.