Volume 40, Issue 7 pp. 1370-1327
Research Article

Noninvasive 4D Flow Characterization in a Stirred Tank via Phase-Contrast Magnetic Resonance Imaging

Gábor Janiga

Gábor Janiga

Otto von Guericke University, Laboratory of Fluid Dynamics and Technical Flows, Universitätsplatz 2, 39106 Magdeburg, Germany

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Daniel Stucht

Daniel Stucht

Otto von Guericke University, Institute of Experimental Physics, Universitätsplatz 2, 39106 Magdeburg, Germany

Otto von Guericke University, Institute of Biometry and Medical Informatics, Universitätsplatz 2, 39106 Magdeburg, Germany

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Róbert Bordás

Róbert Bordás

Otto von Guericke University, Laboratory of Fluid Dynamics and Technical Flows, Universitätsplatz 2, 39106 Magdeburg, Germany

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Erik Temmel

Corresponding Author

Erik Temmel

Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, 39106 Magdeburg, Germany

Correspondence: Erik Temmel ([email protected]), Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, 39106 Magdeburg, Germany.Search for more papers by this author
Andreas Seidel-Morgenstern

Andreas Seidel-Morgenstern

Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, 39106 Magdeburg, Germany

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Dominique Thévenin

Dominique Thévenin

Otto von Guericke University, Laboratory of Fluid Dynamics and Technical Flows, Universitätsplatz 2, 39106 Magdeburg, Germany

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Oliver Speck

Oliver Speck

Otto von Guericke University, Institute of Experimental Physics, Universitätsplatz 2, 39106 Magdeburg, Germany

Leibniz Institute for Neurobiology, Brenneckestraße 6, 39118 Magdeburg, Germany

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First published: 30 May 2017
Citations: 5

Abstract

A noninvasive quantification of the hydrodynamics in a stirred tank in space and time using flow-sensitive phase-contrast magnetic resonance imaging (PC-MRI) at 7 Tesla (7 T) is demonstrated. The PC-MRI technique is able to characterize the unsteady periodic 3D flow velocities with acceptable spatial and temporal resolution and does not imply that optically transparent fluids are employed. PC-MRI is already widely used for medical diagnostics in order to determine the blood flow velocities, e.g., for cardiovascular applications. However, its utilization for engineering problems is still new, including process engineering. Therefore, it is important to check the suitability of PC-MRI to applications of practical interest in this field and complement other flow measurement and simulation techniques.

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