Development of a 3D Vascular Network Visualization Platform for One-Dimensional Hemodynamic Simulation

Area of Science:

• Computational fluid dynamics
• Medical imaging
• Biomedical engineering

Background:

• Advancements in computational power and medical simulation enable predictive diagnostics.
• Traditional 3D simulations are computationally intensive and costly.
• Reduced-order models (ROMs) offer efficient alternatives for complex vascular systems.

Purpose of the Study:

• To introduce a visualization platform for patient-specific, image-based 1D-0D blood flow simulations.
• To demonstrate the platform's utility across the entire simulation workflow, from modeling to visualization.
• To showcase the application of ROMs in clinical scenarios.

Main Methods:

• Development of a visualization platform integrating patient-specific data.
• Implementation of 1D-0D modeling for blood flow simulation.
• Dynamic 3D visualization of simulation outcomes.
• Validation through case studies on carotid stenosis and arterial remodeling.

Main Results:

• The platform successfully visualizes patient-specific 1D-0D blood flow simulations.
• The workflow covers data import, model creation, simulation, and dynamic 3D visualization.
• Case studies confirm the utility of the approach for analyzing vascular conditions.

Conclusions:

• The developed visualization platform provides a practical solution for blood flow simulation in resource-limited environments.
• 1D-0D ROMs coupled with advanced visualization are valuable tools for predictive diagnosis.
• The platform facilitates efficient analysis of complex vascular dynamics, aiding clinical decision-making.