This project applies scientific visualization techniques to Computational Fluid Dynamics (CFD) simulation data in a healthcare context, specifically modeling hemodynamic behavior in cardiovascular geometries. The analysis focuses on blood pressure distribution, flow velocity patterns, and thermal properties of vessel walls — all critical parameters in cardiovascular research and surgical planning.
- ParaView 6.1.0 — Scientific visualization platform
- Dataset:
disk_out_ref.ex2— CFD simulation of fluid dynamics in vascular geometry (Sandia National Laboratories) - Variables analyzed: Pressure (Pa), Velocity Magnitude (m/s), Temperature (K)
Hemodynamic CFD visualization is widely used in:
- Pre-surgical planning for aneurysm treatment
- Designing cardiovascular stents and implants
- Understanding arterial disease progression (e.g. atherosclerosis)
- Blood pump and artificial heart valve development
- Thermal imaging for inflammation and plaque detection
Color-mapped visualization of pressure gradients across the vascular geometry. High pressure zones (red/orange) indicate areas of arterial stress, while low pressure zones (blue) indicate normal flow regions.
A cross-sectional slice showing thermal distribution along the vessel wall. The concentrated heat zone (orange/red) in the center maps to regions of highest fluid energy — analogous to inflammation detection in clinical imaging.
Stream tracer visualization showing blood flow paths and velocity magnitude through the vessel geometry. The swirling vortex pattern reflects real hemodynamic phenomena studied in cardiology, particularly around heart valves and arterial junctions.
3D isosurface contour highlighting zones of equal arterial pressure. The hollow geometry reveals internal pressure distribution — a technique used in cardiovascular surgery planning to identify aneurysm risk zones.
All three analysis layers combined — temperature slice, pressure isosurface, and velocity streamlines — displayed simultaneously. This multi-variable overlay mirrors how real medical researchers present hemodynamic data for comprehensive cardiovascular analysis.
- Scalar field color mapping (pressure, velocity, temperature)
- Slice filters for cross-sectional hemodynamic analysis
- Stream Tracer for blood flow path visualization
- Contour/Isosurface generation for pressure zone identification
- Multi-variable overlay for comprehensive flow analysis
- ParaView 6.1.0 pipeline-based visualization workflow
- Applying and configuring filters (Slice, Contour, Stream Tracer)
- Interpreting CFD variables in a biomedical context
- Visualizing multi-variable datasets simultaneously
- Color mapping scalar fields for clinical interpretation