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In Vivo Validation of Numerical Prediction for Turbulence Intensity in an Aortic Coarctation
IIT.
Linköping University, Department of Medical and Health Sciences, Clinical Physiology. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization, CMIV.
Linköping University, Department of Medical and Health Sciences, Clinical Physiology. Linköping University, Faculty of Health Sciences. Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Center for Medical Image Science and Visualization, CMIV.ORCID iD: 0000-0003-1395-8296
IIT.
2012 (English)In: Annals of Biomedical Engineering, ISSN 0090-6964, E-ISSN 1573-9686, Vol. 40, no 4, 860-870 p.Article in journal (Refereed) Published
Abstract [en]

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 a parts per thousand 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.

Place, publisher, year, edition, pages
Springer Verlag (Germany) , 2012. Vol. 40, no 4, 860-870 p.
Keyword [en]
Computational fluid dynamics, Phase-contrast magnetic resonance imaging, Turbulent kinetic energy, Blood flow
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-76802DOI: 10.1007/s10439-011-0447-6ISI: 000302097600011OAI: oai:DiVA.org:liu-76802DiVA: diva2:516852
Note

Funding Agencies|Fulbright Commission||Swedish Heart-Lung Foundation||Swedish Brain Foundation||Swedish Research Council||Center for Industrial Information Technology||

Available from: 2012-04-20 Created: 2012-04-20 Last updated: 2017-12-07

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Dyverfeldt, PetterEbbers, Tino

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Clinical PhysiologyFaculty of Health SciencesCenter for Medical Image Science and Visualization, CMIVMedia and Information Technology
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