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Investigation of phase-contrast magnetic resonance imaging underestimation of turbulent flow through the aortic valve phantom: experimental and computational study using lattice Boltzmann method

R. Fučík, R. Galabov, P. Pauš, P. Eichler, J. Klinkovský, R. Straka, J. Tintěra, R. Chabiniok

. 2020 ; 33 (5) : 649-662. [pub] 20200227

Jazyk angličtina Země Německo

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc21026534

Grantová podpora
NV19-08-00071 Ministerstvo Zdravotnictví Ceské Republiky
18-09539S Grantová Agentura Ceské Republiky
CZ.02.1.01/0.0/0.0/16_019/0000765 Ministerstvo Školství, Mládeže a Telovýchovy
Associated Team ToFMOD INRIA
WT 203148/Z/16/Z Wellcome Trust - United Kingdom

OBJECTIVE: The accuracy of phase-contrast magnetic resonance imaging (PC-MRI) measurement is investigated using a computational fluid dynamics (CFD) model with the objective to determine the magnitude of the flow underestimation due to turbulence behind a narrowed valve in a phantom experiment. MATERIALS AND METHODS: An acrylic stationary flow phantom is used with three insertable plates mimicking aortic valvular stenoses of varying degrees. Positive and negative horizontal fluxes are measured at equidistant slices using standard PC-MRI sequences by 1.5T and 3T systems. The CFD model is based on the 3D lattice Boltzmann method (LBM). The experimental and simulated data are compared using the Bland-Altman-derived limits of agreement. Based on the LBM results, the turbulence is quantified and confronted with the level of flow underestimation. RESULTS: LBM gives comparable results to PC-MRI for valves up to moderate stenosis on both field strengths. The flow magnitude through a severely stenotic valve was underestimated due to signal void in the regions of turbulent flow behind the valve, consistently with the level of quantified turbulence intensity. DISCUSSION: Flow measured by PC-MRI is affected by noise and turbulence. LBM can simulate turbulent flow efficiently and accurately, it has therefore the potential to improve clinical interpretation of PC-MRI.

Citace poskytuje Crossref.org

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