Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

作者： Ryan A. Peck*1, Edver Bahena*1, Reza Jahan2, Guillermo Aguilar1,3,4, Hideaki Tsutsui1,4, Marko Princevac1, Monica M. Wilhelmus1, Masaru P. Rao1,3,4 1Department of Mechanical Engineering,University of California, Riverside, 2Division of Interventional Neuroradiology,University of California, Los Angeles, 3Materials Science and Engineering Program,University of California, Riverside, 4Department of Bioengineering,University of California, Riverside

简介：

Overview

This article presents simplified methods for fabricating transparent neurovascular phantoms and characterizing the flow within them. The study emphasizes key parameters that influence field accuracy.

Key Study Components

Area of Science

• Bioengineering
• Hemodynamics
• Neurovascular modeling

Background

• Understanding hemodynamics is crucial for the development of intervascular devices.
• Existing equipment in bioengineering labs can be utilized for this technique.
• Reducing barriers for non-experts is essential for advancing research.
• Transparent phantoms can aid in visualizing flow dynamics.

Purpose of Study

• To provide accessible methods for fabricating neurovascular phantoms.
• To characterize flow dynamics in a simplified manner.
• To enhance the accuracy of bioengineering experiments.

Methods Used

• Mixing PDMS prepolymer base with curing agent in a 10:1 ratio by weight.
• Using a vacuum desiccator for de-gassing the mixture.
• Applying cyclic pressurization and depressurization to facilitate bubble rupture.
• Fabricating phantoms with volumes up to 50 cubic centimeters.

Main Results

• The methods demonstrated effective fabrication of transparent phantoms.
• Flow characterization was successfully achieved.
• Key parameters were identified that relate to field accuracy.
• The technique is accessible for non-experts in bioengineering.

Conclusions

• This study provides a simplified approach to neurovascular phantom fabrication.
• It highlights the importance of key parameters in flow characterization.
• The methods can enhance research in hemodynamics and device interactions.

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