Dynamic modes of inflow jet in brain aneurysms

Area of Science:

• Biomedical Engineering
• Fluid Dynamics
• Medical Imaging

Background:

• The transition of inflow jets to turbulence is critical for understanding brain aneurysm pathology.
• Previous research indicates highly dynamic inflow jets within brain aneurysms.
• Clinical in vivo data resolution limits detailed analysis of these jet dynamics.

Purpose of the Study:

• To utilize Dynamic Mode Decomposition (DMD) for identifying energetic modes of the inflow jet in patient-specific internal carotid artery aneurysm models.
• To investigate the influence of jet-wall interactions on dynamic modes, beyond parent artery blood flow waveforms.

Main Methods:

• High-resolution simulation data of patient-specific internal carotid artery aneurysms.
• Application of Dynamic Mode Decomposition (DMD) to analyze inflow jet characteristics.
• Correlation of low-frequency and high-frequency DMD modes with flow phenomena.

Main Results:

• Low-frequency modes spatially correspond to the most energetic regions of the inflow jet.
• High-frequency modes are transient, linked to flow separation and wall impingement.
• Low-frequency modes are reconstructible at resolutions achievable with in vivo data.

Conclusions:

• Dynamic Mode Decomposition (DMD) effectively identifies significant blood flow modes in brain aneurysms.
• DMD analysis suggests jet-wall interactions are crucial for inflow jet dynamics.
• The findings indicate DMD's potential utility for analyzing clinical in vivo data of brain aneurysms.