MR Imaging of Flow on the Microscale
Dieter Suter
Technische Universität Dortmund, 44221 Dortmund, Germany
Search for more papers by this authorDaniel Edelhoff
Technische Universität Dortmund, 44221 Dortmund, Germany
Search for more papers by this authorDieter Suter
Technische Universität Dortmund, 44221 Dortmund, Germany
Search for more papers by this authorDaniel Edelhoff
Technische Universität Dortmund, 44221 Dortmund, Germany
Search for more papers by this authorJens Anders
University of Stuttgart, Institute of Smart Sensors, Pfaffenwaldring 47, Stuttgart, 70569 Germany
Search for more papers by this authorJan G. Korvink
Karlsruhe Institute of Technology, Institute of Microstructure Technology, Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, 76344 Germany
Search for more papers by this authorJens Anders
University of Stuttgart, Institute of Smart Sensors, Pfaffenwaldring 47, Stuttgart, 70569 Germany
Search for more papers by this authorJan G. Korvink
Karlsruhe Institute of Technology, Institute of Microstructure Technology, Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, 76344 Germany
Search for more papers by this authorSummary
This chapter discusses two flow-imaging techniques that are useful for measuring flow on a microscopic scale: time of flight (ToF) and phase contrast (PC). It explores the physical limitations to the resolution and applicable parameter ranges of the flow. The chapter presents some specific examples, including the characterization of liquid exchange in different aneurysm models, the measurements of velocity fields, and the determination of wall shear stress (WSS) from the measured velocity field. ToF magnetic resonance imaging (MRI) is a possible method for observing flow on a microscopic scale. The PC method is well established for non-microscopic applications and is also suitable for flow imaging on microscopic scales. The ToF technique is used to measure the liquid exchange in different aneurysm models with a resolution of < 150 µm and validated these results with computer simulations.
References
- Aguayo, J.B., Blackband, S.J., and Schoeniger, J. (1986) Nuclear magnetic resonance imaging of a single cell. Nature, 322 (6075), 190–191.
-
Rokitta, M., Zimmermann, U., and Haase, A. (1999) Fast NMR flow measurements in plants using flash imaging. J. Magn. Reson., 137 (1), 29–32.
10.1006/jmre.1998.1611 Google Scholar
- Harel, E. and Pines, A. (2008) Spectrally resolved flow imaging of fluids inside a microfluidic chip with ultrahigh time resolution. J. Magn. Reson., 193 (2), 199–206.
- Köhler, U., Marshall, I., Robertson, M.B., Long, Q., Xu, X.Y., and Hoskins, P.R. (2001) MRI measurement of wall shear stress vectors in bifurcation models and comparison with CFD predictions. J. Magn. Reson. Imaging, 14 (5), 563–573.
- van Ooij, P., Potters, W.V., Majoie, C.B., VanBavel, E., and Nederveen, A. (2012) Wall shear stress vectors derived from 3D PC-MRI at increasing resolutions in an intracranial aneurysm phantom. J. Cardiovasc. Magn. Reson., 14 (1), W43.
- Papaioannou, T.G. and Stefanadis, C. (2005) Vascular wall shear stress: basic principles and methods. Hellenic J. Cardiol., 46, 9–15.
- Altobelli, S.A., Caprihan, A., Davis, J.G., and Fukushima, E. (1985) Rapid average-flow velocity measurement by NMR. Magn. Reson. Med., 3, 317–320.
- Moran, P.R. (1982) A flow velocity zeugmatographic interlace for NMR imaging in humans. Magn. Reson. Imaging, 65 (4), 197–203.
-
Schneider, G., Prince, M.R., Meaney, J.F.M., and Ho, V.B. (2005) Magnetic Resonance Angiography, Springer, New York.
10.1007/88-470-0352-0_8 Google Scholar
- Mosher, T.J. and Smith, M.B. (1990) A DANTE tagging sequence for the evaluation of translational sample motion. Magn. Reson. Med., 15 (2), 334–339.
- Andersen, A.H. and Kirsch, J.E. (1996) Analysis of noise in phase contrast MR imaging. Med. Phys., 23, 857–869.
- Cusack, R. and Papadakis, N. (2002) New robust 3-D phase unwrapping algorithms: application to magnetic field mapping and undistorting echoplanar images. NeuroImage, 16 (3, Part A)), 754–764.
-
Gao, J.H. and Gore, J.C. (1991) Turbulent flow effects on NMR imaging: measurement of turbulent intensity. Med. Phys., 18 (5), 1045–1051.
10.1118/1.596645 Google Scholar
- Callaghan, P.T. (1993) Principles of Nuclear Magnetic Resonance Microscopy, Oxford University Press, New York.
- Edelstein, W.A., Hutchison, J.M.S., Johnson, G., and Redpath, T. (1980) Spin warp NMR imaging and applications to human whole-body imaging. Phys. Med. Biol., 25, 751–756.
- Haase, A., Frahm, J., Matthaei, D., Hanicke, W., and Merboldt, K. (1986) FLASH imaging. Rapid NMR imaging using low flip-angle pulses. J. Magn. Reson., 67 (2), 258–266.
- Erasmus, L.J., Hurter, D., Naudé, M., Kritzinger, H.G., and Acho, S. (2004) A short overview of MRI artifacts. South Afr. J. Radiol, 8 (2), 13–17.
- Kadbi, M.O., Negahdar, M.J., Cha, J., Traughber, M., Martin, P., Stoddard, M.F., and Amini, A.A. (2015) 4d UTE flow: a phase-contrast MRI technique for assessment and visualization of stenotic flows. Magn. Reson. Med., 73 (3), 939–950.
- Mark, S., Zhi, Z., Lynn, G., Michael, L.J., Derek, L., and Benedict, N. (2009) Sprite MRI of bubbly flow in a horizontal pipe. J. Magn. Reson., 199 (2), 126–135.
- Sigfridsson, A., Peterson, S., Carlhäll, C., and Ebbers, T. (2012) Four-dimensional flow MRI using spiral acquisition. Magn. Reson. Med., 68 (4), 1065–1073.
- Kuhn, W. (1990) NMR microscopy-fundamentals, limits and possible applications. Angew. Chem., 102, 1–20.
-
McRobbie, D.W., Moore, E.A., Graves, M.J., and Prince, M.R. (2006) MRI from Picture to Proton, 2nd edn, Cambridge University Press, Cambridge.
10.1017/CBO9780511545405 Google Scholar
- Wiebers, D.O. (1998) International study of unruptured intracranial aneurysms investigators. Unruptured intracranial aneurysms: risk of rupture and risks of surgical intervention. New Engl. J. Med., 339, 1725–1733.
- Juvela, S. (2004) Treatment options of unruptured intracranial aneurysms. Stroke, 35, 372–374.
- Juvela, S., Poussa, K., Letho, H., and Porras, M. (2013) Natural history of unruptured intracranial aneurysms. Stroke, 44 (9), 2414–2421.
- Wiebers, D.O. (2003) Unruptured intracranial aneurysms: natural history, clinical outcome, and risks of surgical and endovascular treatment. Lancet, 362 (9378), 103–110.
- Boussel, L., Rayz, V., McCulloch, C., Martin, A., Acevedo-Bolton, G., and Lawton, M. (2008) Aneurysm growth occurs at region of low wall shear stress: patient- specific correlation of hemodynamics and growth in a longitudinal study. Stroke, 39, 2997–3002.
- Edelhoff, D., Walczak, L., Frank, F., Heil, M., Schmitz, I., Weichert, F., and Suter, D. (2015) Flow measurements and simulations in aneurysm models with various complexity. Med. Phys., 42, 5661–5670.
- Landau, L.D. and Lifshitz, E.M. (1965) Course of Theoretical Physics, vol. 6, Pergamon Press.
-
Edelhoff, D., Walczak, L., Henning, S., Weichert, F., and Suter, D. (2013) High-resolution MRI velocimetry compared with numerical simulations. J. Magn. Reson., 235, 42–49.
10.1016/j.jmr.2013.07.002 Google Scholar
