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In Vivo Validation of Numerical Prediction for Turbulence Intensity in an Aortic Coarctation
IIT.
Linköpings universitet, Institutionen för medicin och hälsa, Klinisk fysiologi. Linköpings universitet, Hälsouniversitetet. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.
Linköpings universitet, Institutionen för medicin och hälsa, Klinisk fysiologi. Linköpings universitet, Hälsouniversitetet. Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.ORCID-id: 0000-0003-1395-8296
IIT.
2012 (engelsk)Inngår i: Annals of Biomedical Engineering, ISSN 0090-6964, E-ISSN 1573-9686, Vol. 40, nr 4, s. 860-870Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Springer Verlag (Germany) , 2012. Vol. 40, nr 4, s. 860-870
Emneord [en]
Computational fluid dynamics, Phase-contrast magnetic resonance imaging, Turbulent kinetic energy, Blood flow
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Identifikatorer
URN: urn:nbn:se:liu:diva-76802DOI: 10.1007/s10439-011-0447-6ISI: 000302097600011OAI: oai:DiVA.org:liu-76802DiVA, id: diva2:516852
Merknad

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

Tilgjengelig fra: 2012-04-20 Laget: 2012-04-20 Sist oppdatert: 2017-12-07

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