Literature DB >> 11329191

Combined MR imaging and CFD simulation of flow in the human descending aorta.

N B Wood1, S J Weston, P J Kilner, A D Gosman, D N Firmin.   

Abstract

A combined MR and computational fluid dynamics (CFD) study is made of flow in the upper descending thoracic aorta. The aim was to investigate further the potential of CFD simulations linked to in vivo MRI scans. The three-dimensional (3D) geometrical images of the aorta and the 3D time-resolved velocity images at the entry to the domain studied were used as boundary conditions for the CFD simulations of the flow. Despite some measurement uncertainties, comparisons between simulated and measured flow structures at the exit from the domain demonstrated encouraging levels of agreement. Moreover, the CFD simulation allowed the flow structure throughout the domain to be examined in more detail, in particular the flow separation region in the distal aortic arch and its influence on the downstream flow during late systole. Additional information such as relative pressure and wall shear stress, which could not be measured via MRI, were also extracted from the simulation. The results have encouraged further applications of the methods described. J. Magn. Reson. Imaging 2001;13:699-713. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11329191     DOI: 10.1002/jmri.1098

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  12 in total

1.  In vitro hemodynamic investigation of the embryonic aortic arch at late gestation.

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Journal:  J Biomech       Date:  2008-05-07       Impact factor: 2.712

2.  Suitability of lattice Boltzmann inlet and outlet boundary conditions for simulating flow in image-derived vasculature.

Authors:  Bradley Feiger; Madhurima Vardhan; John Gounley; Matthew Mortensen; Priya Nair; Rafeed Chaudhury; David Frakes; Amanda Randles
Journal:  Int J Numer Method Biomed Eng       Date:  2019-04-01       Impact factor: 2.747

3.  Importance of dynamic aortic evaluation in planning TEVAR.

Authors:  Guido H W van Bogerijen; Joost A van Herwaarden; Michele Conti; Ferdinando Auricchio; Vincenzo Rampoldi; Santi Trimarchi; Frans L Moll
Journal:  Ann Cardiothorac Surg       Date:  2014-05

4.  Hemodynamic Modeling of Surgically Repaired Coarctation of the Aorta.

Authors:  Laura J Olivieri; Diane A de Zélicourt; Christopher M Haggerty; Kanishka Ratnayaka; Russell R Cross; Ajit P Yoganathan
Journal:  Cardiovasc Eng Technol       Date:  2011-12       Impact factor: 2.495

5.  Fast whole-brain 4D contrast-enhanced MR angiography with velocity encoding using undersampled radial acquisition and highly constrained projection reconstruction: image-quality assessment in volunteer subjects.

Authors:  Y Wu; W Chang; K M Johnson; J Velikina; H Rowley; C Mistretta; P Turski
Journal:  AJNR Am J Neuroradiol       Date:  2010-03-11       Impact factor: 3.825

6.  Hemodynamic changes in patients with arteriovenous malformations assessed using high-resolution 3D radial phase-contrast MR angiography.

Authors:  W Chang; M W Loecher; Y Wu; D B Niemann; B Ciske; B Aagaard-Kienitz; S Kecskemeti; K M Johnson; O Wieben; C Mistretta; P Turski
Journal:  AJNR Am J Neuroradiol       Date:  2012-04-12       Impact factor: 3.825

7.  Velocity measurements in the middle cerebral arteries of healthy volunteers using 3D radial phase-contrast HYPRFlow: comparison with transcranial Doppler sonography and 2D phase-contrast MR imaging.

Authors:  W Chang; B Landgraf; K M Johnson; S Kecskemeti; Y Wu; J Velikina; H Rowley; O Wieben; C Mistretta; P Turski
Journal:  AJNR Am J Neuroradiol       Date:  2010-10-14       Impact factor: 3.825

8.  Flow and myocardial interaction: an imaging perspective.

Authors:  Guang-Zhong Yang; Robert Merrifield; Sharmeen Masood; Philip J Kilner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-08-29       Impact factor: 6.237

9.  Evaluation of 3D blood flow patterns and wall shear stress in the normal and dilated thoracic aorta using flow-sensitive 4D CMR.

Authors:  Jonas Bürk; Philipp Blanke; Zoran Stankovic; Alex Barker; Maximilian Russe; Julia Geiger; Alex Frydrychowicz; Mathias Langer; Michael Markl
Journal:  J Cardiovasc Magn Reson       Date:  2012-12-13       Impact factor: 5.364

10.  Mining data from hemodynamic simulations via Bayesian emulation.

Authors:  Vijaya B Kolachalama; Neil W Bressloff; Prasanth B Nair
Journal:  Biomed Eng Online       Date:  2007-12-13       Impact factor: 2.819

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