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In Vivo Validation of Numerical Prediction for Turbulence Intensity in an Aortic Coarctation

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Abstract

This paper compares numerical predictions of turbulence intensity with in vivo measurement. Magnetic resonance imaging (MRI) was carried out on a 60-year-old female with a restenosed aortic coarctation. Time-resolved three-directional phase-contrast (PC) MRI data was acquired to enable turbulence intensity estimation. A contrast-enhanced MR angiography (MRA) and a time-resolved 2D PCMRI measurement were also performed to acquire data needed to perform subsequent image-based computational fluid dynamics (CFD) modeling. A 3D model of the aortic coarctation and surrounding vasculature was constructed from the MRA data, and physiologic boundary conditions were modeled to match 2D PCMRI and pressure pulse measurements. Blood flow velocity data was subsequently obtained by numerical simulation. Turbulent kinetic energy (TKE) was computed from the resulting CFD data. Results indicate relative agreement (error ≈10%) between the in vivo measurements and the CFD predictions of TKE. The discrepancies in modeled vs. measured TKE values were within expectations due to modeling and measurement errors.

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Notes

  1. Data was considered only after the solution had sufficiently converged.

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Acknowledgments

The authors would like to gratefully acknowledge the support of the Fulbright Commission, the Swedish Heart-Lung Foundation, the Swedish Brain Foundation, the Swedish Research Council and the Center for Industrial Information Technology.

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Authors and Affiliations

  1. Department of Mechanical, Materials and Aerospace Engineering, Illinois Institute of Technology, 10 W 32nd St, Chicago, IL, 60616, USA

    Amirhossein Arzani & Shawn C. Shadden

  2. Division of Applied Thermodynamics and Fluid Mechanics, Department of Management and Engineering, Linköping University, Linköping, Sweden

    Petter Dyverfeldt & Tino Ebbers

  3. Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden

    Petter Dyverfeldt & Tino Ebbers

  4. Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden

    Tino Ebbers

  5. Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA

    Petter Dyverfeldt

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  1. Amirhossein Arzani
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Correspondence to Shawn C. Shadden.

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Associate Editor Scott L. Diamond oversaw the review of this article.

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Arzani, A., Dyverfeldt, P., Ebbers, T. et al. In Vivo Validation of Numerical Prediction for Turbulence Intensity in an Aortic Coarctation. Ann Biomed Eng 40, 860–870 (2012). https://doi.org/10.1007/s10439-011-0447-6

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  • DOI: https://doi.org/10.1007/s10439-011-0447-6

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