Library Subscription: Guest
Critical Reviews™ in Biomedical Engineering

Published 6 issues per year

ISSN Print: 0278-940X

ISSN Online: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

Indexed in

The Combination of Magnetic Resonance Angiography and Computational Fluid Dynamics: A Critical Review

Volume 26, Issue 4, 1998, pp. 227-274
DOI: 10.1615/CritRevBiomedEng.v26.i4.10
Get accessGet access

ABSTRACT

Computational Fluid Dynamics (CFD) has proven to be a valuable technique in the study of blood flow in arteries because of its capability of obtaining quantitatively velocities and wall shear stress. However, the "bottleneck" problem limiting the application of CFD is the difficulty of constructing anatomically realistic arterial geometries.
In this survey, an overview is presented of the progress over the last decade in the development of magnetic resonance angiography (MRA) techniques, medical image processing and CFD, as well as the combination of these techniques in hemodynamics research. It is demonstrated that with modern angiographic techniques such as MRA, noninvasive measurement of human angiograms becomes possible and practical. Together with digital medical image processing and analysis techniques, computational models can be constructed for the "real" human arteries without making any geometric assumptions. When allied with state-of-the-art CFD codes, velocity and wall shear stress distributions, as well as particle trajectories, can be determined in the arteries.

CITED BY
  1. Glor F.P., Westenberg J.J.M., Vierendeels J., Danilouchkine M., Verdonck P., Validation of the Coupling of Magnetic Resonance Imaging Velocity Measurements with Computational Fluid Dynamics in a U Bend, Artificial Organs, 26, 7, 2002. Crossref

  2. Long Q., Xu X.Y., Bourne M., Griffith T.M., Numerical study of blood flow in an anatomically realistic aorto-iliac bifurcation generated from MRI data, Magnetic Resonance in Medicine, 43, 4, 2000. Crossref

  3. Friedman Morton H., Giddens Don P., Blood Flow in Major Blood Vessels—Modeling and Experiments, Annals of Biomedical Engineering, 33, 12, 2005. Crossref

  4. O??Flynn Padraig M., Roche Ellen T., Pandit Abhay S., Generating an Ex Vivo Vascular Model, ASAIO Journal, 51, 4, 2005. Crossref

  5. Hoskins Peter R., Doyle Barry, Pankaj Pankaj, Nithiarasu Perumal, Special issue on patient specific modelling (PSM), International Journal for Numerical Methods in Biomedical Engineering, 29, 2, 2013. Crossref

  6. Glockner James F., Johnston Donald L, McGee Kiaran P, Evaluation of Cardiac Valvular Disease with MR Imaging: Qualitative and Quantitative Techniques, RadioGraphics, 23, 1, 2003. Crossref

  7. Wood Nigel Bruce, Xu Xiao Yun, 18 Modelling of haemodynamics in the cardiovascular system by integrating medical imaging techniques and computer modelling tools, in Multidisciplinary Approaches to Theory in Medicine, 3, 2005. Crossref

  8. Hollnagel Dorothea I., Summers Paul E., Kollias Spyros S., Poulikakos Dimos, Laser Doppler velocimetry (LDV) and 3D phase-contrast magnetic resonance angiography (PC-MRA) velocity measurements: Validation in an anatomically accurate cerebral artery aneurysm model with steady flow, Journal of Magnetic Resonance Imaging, 26, 6, 2007. Crossref

  9. Boussel Loic, Rayz Vitaliy, Martin Alastair, Acevedo-Bolton Gabriel, Lawton Michael T., Higashida Randall, Smith Wade S., Young William L., Saloner David, Phase-contrast magnetic resonance imaging measurements in intracranial aneurysms in vivo of flow patterns, velocity fields, and wall shear stress: Comparison with computational fluid dynamics, Magnetic Resonance in Medicine, 61, 2, 2009. Crossref

  10. Hoskins P R, Hardman D, Three-dimensional imaging and computational modelling for estimation of wall stresses in arteries, The British Journal of Radiology, 82, special_issue_1, 2009. Crossref

  11. Rayz V.L., Boussel L., Lawton M.T., Acevedo-Bolton G., Ge L., Young W.L., Higashida R.T., Saloner D., Numerical Modeling of the Flow in Intracranial Aneurysms: Prediction of Regions Prone to Thrombus Formation, Annals of Biomedical Engineering, 36, 11, 2008. Crossref

  12. Rayz Vitaliy L., Boussel Loic, Acevedo-Bolton Gabriel, Martin Alastair J., Young William L., Lawton Michael T., Higashida Randall, Saloner David, Numerical Simulations of Flow in Cerebral Aneurysms: Comparison of CFD Results and In Vivo MRI Measurements, Journal of Biomechanical Engineering, 130, 5, 2008. Crossref

  13. Khodarahmi Iman, Comparing velocity and fluid shear stress in a stenotic phantom with steady flow: phase-contrast MRI, particle image velocimetry and computational fluid dynamics, Magnetic Resonance Materials in Physics, Biology and Medicine, 28, 4, 2015. Crossref

  14. Merrifield Robert, Long Quan, Xu Yun, Yang Guang-Zhong, Blood Flow Simulation, Patient-Specificin-vivo, in Wiley Encyclopedia of Biomedical Engineering, 2006. Crossref

  15. Zhao S.Z, Xu X.Y, Hughes A.D, Thom S.A, Stanton A.V, Ariff B, Long Q, Blood flow and vessel mechanics in a physiologically realistic model of a human carotid arterial bifurcation, Journal of Biomechanics, 33, 8, 2000. Crossref

  16. Halliday I., Atherton M., Care C.M., Collins M.W., Evans D., Evans P.C., Hose D.R., Khir A.W., König C.S., Krams R., Lawford P.V., Lishchuk S.V., Pontrelli G., Ridger V., Spencer T.J., Ventikos Y., Walker D.C., Watton P.N., Multi-scale interaction of particulate flow and the artery wall, Medical Engineering & Physics, 33, 7, 2011. Crossref

  17. Graafen Dirk, Hamer Julia, Weber Stefan, Schreiber Laura M, Quantitative myocardial perfusion magnetic resonance imaging: the impact of pulsatile flow on contrast agent bolus dispersion, Physics in Medicine and Biology, 56, 16, 2011. Crossref

  18. Lawford P.V., Ventikos Y., Khir A.W., Atherton M., Evans D., Hose D.R., Care C.M., Watton P.N., Halliday I., Walker D.C., Hollis A.P., Collins M.W., Modelling the interaction of haemodynamics and the artery wall: Current status and future prospects, Biomedicine & Pharmacotherapy, 62, 8, 2008. Crossref

  19. Walker Richard D, Sherriff Susan B, Wood Richard F.M, The development of a model of the femoral artery bifurcation for use with duplex Doppler systems, Ultrasound in Medicine & Biology, 29, 3, 2003. Crossref

  20. Berthier B, Bouzerar R, Legallais C, Blood flow patterns in an anatomically realistic coronary vessel: influence of three different reconstruction methods, Journal of Biomechanics, 35, 10, 2002. Crossref

  21. Tambasco Mauro, Steinman David A., Calculating particle-to-wall distances in unstructured computational fluid dynamic models, Applied Mathematical Modelling, 25, 10, 2001. Crossref

  22. Baghdadi Leila, Steinman David A., Ladak Hanif M., Template-based finite-element mesh generation from medical images, Computer Methods and Programs in Biomedicine, 77, 1, 2005. Crossref

  23. Köhler Uwe, Marshall Ian, Robertson Malcolm B., Long Quan, Xu X. Yun, Hoskins Peter R., MRI measurement of wall shear stress vectors in bifurcation models and comparison with CFD predictions, Journal of Magnetic Resonance Imaging, 14, 5, 2001. Crossref

  24. Marinho Daniel Almeida, Reis Victor Machado, Vilas-Boas João Paulo, Alves Francisco Bessone, Machado Leandro, Rouboa Abel Ilah, Silva António José, Design of a three-dimensional hand/forearm model to apply computational fluid dynamics, Brazilian Archives of Biology and Technology, 53, 2, 2010. Crossref

  25. Long Q, Merrifield R, Xu X Y, Kilner P, Firmin D N, Yang G-Z, Subject-specific computational simulation of left ventricular flow based on magnetic resonance imaging, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 222, 4, 2008. Crossref

  26. Misra Sanjay, Fu Alex A., Misra Khamal D., Glockner James F., Mukhopadhyay Debabrata, Wall Shear Stress Measurement Using Phase Contrast Magnetic Resonance Imaging with Phase Contrast Magnetic Resonance Angiography in Arteriovenous Polytetrafluoroethylene Grafts, Angiology, 60, 4, 2009. Crossref

  27. Rayz Vitaliy L., Berger Stanley A., Computational Modeling of Vascular Hemodynamics, in Computational Modeling in Biomechanics, 2010. Crossref

  28. Antiga Luca, Piccinelli Marina, Botti Lorenzo, Ene-Iordache Bogdan, Remuzzi Andrea, Steinman David A., An image-based modeling framework for patient-specific computational hemodynamics, Medical & Biological Engineering & Computing, 46, 11, 2008. Crossref

  29. Taylor Charles A., Draney Mary T., EXPERIMENTAL AND COMPUTATIONAL METHODS IN CARDIOVASCULAR FLUID MECHANICS, Annual Review of Fluid Mechanics, 36, 1, 2004. Crossref

  30. Xu Yun, Wood N. B., The proximal carotid arteries – image-based computational modelling, in Carotid Disease, 2006. Crossref

Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections Prices and Subscription Policies Begell House Contact Us Language English 中文 Русский Português German French Spain