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Updated: Feb 19, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

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Visualizing multiphysics, fluid-structure interaction phenomena in intracranial aneurysms.

Paris Perdikaris¹, Joseph A Insley², Leopold Grinberg³

¹Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA 02139, USA.

Parallel Computing

|October 31, 2017

Summary

This summary is machine-generated.

We developed a new tool to visualize complex fluid-structure interaction (FSI) simulations in cerebral aneurysms. This interactive visualization enhances understanding of multi-physics phenomena for improved medical insights.

Keywords:

Blood flow Cerebral aneurysms Fluid-structure interactions High performance computing Parallel visualization

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Area of Science:

Computational fluid dynamics
Biomedical engineering
Scientific visualization

Background:

Cerebral aneurysm simulations generate large, complex datasets requiring advanced visualization.
Understanding fluid-structure interaction (FSI) is crucial for analyzing aneurysm biomechanics.

Purpose of the Study:

To develop an interactive tool for visualizing multi-physics FSI phenomena in cerebral aneurysms.
To enable efficient processing and visualization of large simulation data.

Main Methods:

Developed a ParaView-NekTar interface coupling ParaView visualization with NekTar parallel libraries.
Implemented independent resolution control for fluid and solid domains.
Synchronized animation of fluid and structure data with superimposed field visualization.

Main Results:

The ParaView-NekTar interface facilitates visualization of complex structures under large deformations.
Superimposed visualizations (e.g., fluid jet and structural stress) aid in understanding multi-physics interactions.
The tool enables flexible and detailed analysis of FSI in aneurysms.

Conclusions:

Interactive visualization tools are essential for elucidating biophysical interactions in cerebral aneurysms.
This approach bridges computational science and clinical application, aiding medical understanding.
Enhanced visualization promotes dissemination of simulation insights to the medical community.