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Cardiovascular Engineering and Technology

, Volume 5, Issue 3, pp 261–269 | Cite as

Improving Blood Flow Simulations by Incorporating Measured Subject-Specific Wall Motion

  • Jonas Lantz
  • Petter Dyverfeldt
  • Tino Ebbers
Article

Abstract

Physiologically relevant simulations of blood flow require models that allow for wall deformation. Normally a fluid–structure interaction (FSI) approach is used; however, this method relies on several assumptions and patient-specific material parameters that are difficult or impossible to measure in vivo. In order to circumvent the assumptions inherent in FSI models, aortic wall motion was measured with MRI and prescribed directly in a numerical solver. In this way is not only the displacement of the vessel accounted for, but also the interaction with the beating heart and surrounding organs. In order to highlight the effect of wall motion, comparisons with standard rigid wall models was performed in a healthy human aorta. The additional computational cost associated with prescribing the wall motion was low (17%). Standard hemodynamic parameters such as time-averaged wall shear stress and oscillatory shear index seemed largely unaffected by the wall motion, as a consequence of the smoothing effect inherent in time-averaging. Conversely, instantaneous wall shear stress was greatly affected by the wall motion; the wall dynamics seemed to produce a lower wall shear stress magnitude compared to a rigid wall model. In addition, it was found that if wall motion was taken into account the computed flow field agreed better with in vivo measurements. This article shows that it is feasible to include measured subject-specific wall motion into numerical simulations, and that the wall motion greatly affects the flow field. This approach to incorporate measured motion should be considered in future studies of arterial blood flow simulations.

Keywords

Computational fluid dynamics Magnetic resonance imaging Fluid–structure interaction Aorta Time averaged wall shear stress Prescribed wall motion 

Notes

Acknowledgments

This study was funded by the Swedish e-Science Research Centre, the Centre for Industrial Information Technology, the Swedish Research Council, and the European Research Council. The Swedish National Infrastructure for Computing is acknowledged for computational resources provided by the National Supercomputer Centre.

Conflict of interest

The authors declared that they have no conflict of interest.

Statement of Animal Studies

No animal studies were carried out by the authors for this article.

Statement of Human studies

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000 (5). Informed consent was obtained from the subject for being included in the study.

Supplementary material

13239_2014_187_MOESM1_ESM.pdf (186 kb)
Supplementary material 1 (PDF 186 kb)

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Copyright information

© Biomedical Engineering Society 2014

Authors and Affiliations

  • Jonas Lantz
    • 1
    • 4
  • Petter Dyverfeldt
    • 2
    • 3
  • Tino Ebbers
    • 1
    • 2
    • 3
    • 4
  1. 1.Department of Science and TechnologyLinköping UniversityLinköpingSweden
  2. 2.Department of Medical and Health SciencesLinköping UniversityLinköpingSweden
  3. 3.Center for Medical Image Science and Visualization (CMIV)Linköping UniversityLinköpingSweden
  4. 4.Swedish e-Science Research Centre (SeRC)LinköpingSweden

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