Grid computing for detailed hemodynamics-simulation-based planning of endovascular interventions

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Computational Fluid Dynamics

Background:

• Numerical simulations of blood flow in diseased arteries are crucial for understanding hemodynamics.
• Advancements in computing power and software now enable wider access to these complex simulations.
• Integrating these tools into clinical workflows can enhance diagnostic and therapeutic capabilities.

Purpose of the Study:

• To develop and deploy a Grid-based "virtual vessel surgery" application for analyzing blood flow in malformed arteries.
• To make resource-intensive hemodynamic simulation processes accessible through a user-friendly platform.
• To facilitate seamless integration of advanced simulation tools into clinical practice.

Main Methods:

• Development of a Grid-based "virtual vessel surgery" application within the MediGRID project.
• Implementation of numerical simulations, automated data pre/post-processing, and visualization on a Grid infrastructure.
• Utilizing a Web interface for interactive workflow steps and integration with Grid components via D-Grid middleware.

Main Results:

• The "virtual vessel surgery" application has been successfully deployed on the MediGRID portal.
• Resource-intensive simulation tasks are now accessible, including pre/post-processing and visualization.
• The workflow was successfully applied to real patient data featuring arterial stenosis and aneurysm.

Conclusions:

• Grid-based hemodynamic simulations offer a powerful tool for virtual vessel surgery.
• The MediGRID application enhances accessibility and integration of advanced diagnostic and research tools in medicine.
• This approach holds significant potential for improving the diagnosis and treatment planning of vascular diseases.