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A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage
Published on: July 28, 2018
Quantifying the large-scale hemodynamics of intracranial aneurysms
1From the Center for Computational Fluid Dynamics, College of Science, George Mason University, Fairfax, Virginia.
AJNR. American Journal of Neuroradiology
|August 10, 2013
Summary
Complex and unstable blood flow patterns in intracranial aneurysms are linked to rupture risk. This study quantifies these hemodynamics, finding that more complex, unstable flows are associated with ruptured aneurysms.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Fluid Dynamics
Background:
- Intracranial aneurysms are associated with complex hemodynamics.
- Understanding blood flow dynamics is crucial for predicting aneurysm initiation, growth, and rupture.
Purpose of the Study:
- To objectively characterize and classify intracranial aneurysm hemodynamics.
- To correlate hemodynamic characteristics with aneurysm rupture status.
Main Methods:
- Utilized image-based computational fluid dynamics (CFD) simulations for 210 patient-specific intracranial aneurysms.
- Classified hemodynamics based on spatial complexity and temporal stability using vortex core lines and proper orthogonal decomposition.
Main Results:
- Quantitative hemodynamic classification showed strong agreement with qualitative visual inspection (AUC for spatial complexity: 0.905, temporal stability: 0.85).
- Ruptured aneurysms exhibited significantly more complex and unstable flow patterns compared to unruptured ones.
- Spatial complexity demonstrated a stronger association with aneurysm rupture than temporal stability.
Conclusions:
- Complex-unstable blood flow dynamics, indicated by longer vortex core line length and higher entropy, may promote biological processes leading to aneurysm rupture.
- Hemodynamic characterization offers a quantitative approach to assess rupture risk in intracranial aneurysms.
