Whether you are assessing the potential benefits of a surgical procedure, trying to understand human physiology better, or designing new pharmaceuticals, numerical simulation has a critical impact on the medical community. ParaView also makes it easy for researchers to present results. You can share informative animations via ParaView’s various rendering options, image capturing, animation controls, and even VR support to help get the point across.
ParaView provides the tools needed by medical researchers to efficiently display CT and MRI scanned data and evaluate their simulations in terms of:
- State-of-the-art rendering techniques that leverage GPU performance to quickly display volumetric data and tools that can extract relevant geometry from these scans.
- Simulation correctness and identifying issues with the simulation, such as modeling deficiencies, accuracy, convergence, etc.
- Procedural evaluation by exploring key phenomena such as blood flow using state-of-the-art visualization.
- Unexpected but potentially beneficial relationships between various simulation phenomena.
Advanced Features
ParaView provides the ability to visualize CT and MRI data through its support of DICOM. ParaView’s visualization tools are constantly evolving both through its open source community as well as through its use in top research laboratories around the world so the functionality it provides remains the state of the art. Click here to see a list of ParaView’s main filters and supported file formats.
Download ParaView
ParaView is a powerful medical visualization application. It can be customized to meet your specific requirements based on your area of research. Download ParaView to visualize and analyze your medical data or reach out for customization.
See ParaView in Action
Blood flow simulation data courtesy of George Karniadakis and Leopold Grinberg of Brown University. It shows the visualization of multiple data types, including unstructured tetrahedral mesh with fluid field and blood plasma data, particle data of particles advected by the flow, and triangle meshes showing healthy and diseased red blood cells.
The data was generated with an integrated Nektar/LAMMPS simulation code.
Science: Abdul Malmi Kakkada (Dave Thirumalai’s group – Department of Chemistry at UT Austin) Visualization: Anne Bowen, Texas Advanced Computing Center. Learn more about this image.
A cancer immunology hypothesis study ran and analyzed 231 simulations of T cells seeking and attacking a tumor. The simulations were created with PhysiCell. OSPRay capabilities in ParaView were used to render the final outcomes of the simulations to help researchers understand what T-cell design parameters may be the most effective. An octant of the tumor was cut from the visualizations to capture the 3D structure of the tumor better.
Blood flow in a cerebral aneurysm visualized as pathlines (with illustrative touches)
Covid-19 spread by micro droplets