In vivo validation of numerical prediction for turbulence intensity in an aortic coarctation

Amirhossein Arzani, Petter Dyverfeldt, Tino Ebbers, Shawn C. Shadden

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)860-870
Number of pages11
JournalAnnals of Biomedical Engineering
Volume40
Issue number4
DOIs
StatePublished - Apr 2012
Externally publishedYes

Keywords

  • Blood flow
  • Computational fluid dynamics
  • Phase-contrast magnetic resonance imaging
  • Turbulent kinetic energy

ASJC Scopus subject areas

  • Biomedical Engineering

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