CFD Simulation Data for Intracranial Stenosis with Viscosity Variations

Computational fluid dynamics (CFD) simulation results for modeling intracranial atherosclerotic stenosis (ICAS) in the middle cerebral artery. The dataset includes results for an original ~70% stenosis model and idealized variants (30%, 50%, 90%) under three blood viscosity states. It was authored by Lei Zhengyao and last updated on 2026-05-28.

Use Cases

• Training machine learning models for stroke risk stratification based on combined geometric and hemodynamic metrics.
• Validating computational fluid dynamics (CFD) solvers against simulated velocity, pressure, and wall shear stress data.
• Analyzing the non-monotonic relationship between stenosis severity and time-averaged wall shear stress (TAWSS).
• Studying the effects of non-Newtonian blood viscosity on oscillatory shear index (OSI) under severe stenosis.

Strengths

• Includes a controlled comparison of four stenosis severities (30%, 50%, 70%, 90%) on the same anatomical background.
• Simulates three distinct blood viscosity states (below-normal, normal, high) for each geometry.
• Quantifies multiple hemodynamic metrics, including wall shear stress (WSS), oscillatory shear index (OSI), and time-averaged wall shear stress (TAWSS).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 7.4 MB, which is a small scale for simulation data.

Provenance

Source

figshare

Collection Method

Data was generated via computational fluid dynamics (CFD) simulations using a shear-thinning non-Newtonian Carreau viscosity model.

Freshness

Last updated 2026-05-28 17:35:51; freshness should be verified.