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Technical Briefs

Correlation Between Angiographic and Particle Image Velocimetry Quantifications of Flow Diverters in an In Vitro Model of Elastase-Induced Rabbit Aneurysms

[+] Author and Article Information
Asher L. Trager

Department of Biomedical Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146a.trager@umiami.edu

Chander Sadasivan

Department of Biomedical Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146c.sadasivan@umiami.edu

Jaehoon Seong

Department of Engineering and Physics, University of Central Oklahoma, 100 North University Drive, Edmond, OK 73034jseong@uco.edu

Baruch B. Lieber1

Department of Biomedical Engineering and Department of Radiology, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146blieber@miami.edu

1

Corresponding author.

J Biomech Eng 131(3), 034506 (Jan 07, 2009) (3 pages) doi:10.1115/1.3049528 History: Received August 08, 2008; Revised September 23, 2008; Published January 07, 2009

The rupture of a cerebral aneurysm can result in a hemorrhagic stroke. A flow diverter, which is a porous tubular mesh, can be placed across the neck of a cerebral aneurysm to induce the cessation of flow and initiate the formation of an intra-aneurysmal thrombus. By finding a correlation between particle image velocimetry (PIV) and digital subtraction angiography, a better assessment of how well an aneurysm is excluded from the parent artery can be made in the clinical setting. A model of a rabbit elastase-induced aneurysm was connected to a mock circulation loop. The model was then placed under angiography. Recorded angiograms were analyzed so that a contrast concentration-time curve based on the average grayscale intensity inside the aneurysm could be determined. That curve was then fitted to a mathematical model that quantifies the influence of convection and diffusion on contrast transport. Optimized parameters were correlated with the intraneurysmal mean kinetic energy measured by PIV in the same aneurysm model. A strong correlation was observed between the convection and diffusion time constants and the mean kinetic energy inside the aneurysm. Analyzing the flow of angiographic contrast into and out of the aneurysm after implantation of a flow diverter allows for prediction of the efficacy of the device in excluding the aneurysm. Correlating hydrodynamic measures obtained by angiography to those obtained by detailed techniques such as PIV increases confidence in such predictions.

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Copyright © 2009 by American Society of Mechanical Engineers
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Figures

Grahic Jump Location
Figure 1

Model fit to the aneurysmal contrast concentration-time curve (gray line) after implantation of diverter 4 (70% porosity, 21.2 pores/mm2 pore density); the dashed line represents the convective process, the dotted line represents the diffusive process, and the solid line represents the combined process; optimized model parameters are listed; AGI: average grayscale intensity

Grahic Jump Location
Figure 2

Plot of the convective time constant (τconv) versus the mean kinetic energy (+). The solid line represents the linear trend and the dashed lines represent the 95% confidence limit.

Grahic Jump Location
Figure 3

Plot of the diffusive time constant (τdiff) versus the mean kinetic energy (+). The solid line represents the linear trend and the dashed lines represent the 95% confidence limit.

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