Literature DB >> 20574963

Simulation of phase contrast MRI of turbulent flow.

Sven Petersson1, Petter Dyverfeldt, Roland Gårdhagen, Matts Karlsson, Tino Ebbers.   

Abstract

Phase contrast MRI is a powerful tool for the assessment of blood flow. However, especially in the highly complex and turbulent flow that accompanies many cardiovascular diseases, phase contrast MRI may suffer from artifacts. Simulation of phase contrast MRI of turbulent flow could increase our understanding of phase contrast MRI artifacts in turbulent flows and facilitate the development of phase contrast MRI methods for the assessment of turbulent blood flow. We present a method for the simulation of phase contrast MRI measurements of turbulent flow. The method uses an Eulerian-Lagrangian approach, in which spin particle trajectories are computed from time-resolved large eddy simulations. The Bloch equations are solved for each spin for a frame of reference moving along the spins trajectory. The method was validated by comparison with phase contrast MRI measurements of velocity and intravoxel velocity standard deviation (IVSD) on a flow phantom consisting of a straight rigid pipe with a stenosis. Turbulence related artifacts, such as signal drop and ghosting, could be recognized in the measurements as well as in the simulations. The velocity and the IVSD obtained from the magnitude of the phase contrast MRI simulations agreed well with the measurements.

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Year:  2010        PMID: 20574963     DOI: 10.1002/mrm.22494

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  17 in total

1.  Synthetic dataset generation for the analysis and the evaluation of image-based hemodynamics of the human aorta.

Authors:  Umberto Morbiducci; Raffaele Ponzini; Giovanna Rizzo; Marco Evanghelos Biancolini; Francesco Iannaccone; Diego Gallo; Alberto Redaelli
Journal:  Med Biol Eng Comput       Date:  2011-12-23       Impact factor: 2.602

2.  In vivo validation of numerical prediction for turbulence intensity in an aortic coarctation.

Authors:  Amirhossein Arzani; Petter Dyverfeldt; Tino Ebbers; Shawn C Shadden
Journal:  Ann Biomed Eng       Date:  2011-10-21       Impact factor: 3.934

3.  Cardiac-gated intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for the investigation of intracranial cerebrospinal fluid dynamics in the lateral ventricle: a feasibility study.

Authors:  Eddie Surer; Cristina Rossi; Anton S Becker; Tim Finkenstaedt; Moritz C Wurnig; Antonios Valavanis; Sebastian Winklhofer
Journal:  Neuroradiology       Date:  2018-02-22       Impact factor: 2.804

4.  High resolution three-dimensional cine phase contrast MRI of small intracranial aneurysms using a stack of stars k-space trajectory.

Authors:  Steven Kecskemeti; Kevin Johnson; Yijing Wu; Charles Mistretta; Patrick Turski; Oliver Wieben
Journal:  J Magn Reson Imaging       Date:  2011-11-16       Impact factor: 4.813

5.  Enhanced 4D Flow MRI-Based CFD with Adaptive Mesh Refinement for Flow Dynamics Assessment in Coarctation of the Aorta.

Authors:  Labib Shahid; James Rice; Haben Berhane; Cynthia Rigsby; Joshua Robinson; Lindsay Griffin; Michael Markl; Alejandro Roldán-Alzate
Journal:  Ann Biomed Eng       Date:  2022-05-27       Impact factor: 3.934

6.  Two wrongs sometimes do make a right: errors in aortic valve stenosis assessment by same-day Doppler echocardiography and 4D flow MRI.

Authors:  Hyungkyu Huh; Jeesoo Lee; Menhel Kinno; Michael Markl; James D Thomas; Alex J Barker
Journal:  Int J Cardiovasc Imaging       Date:  2022-02-21       Impact factor: 2.316

7.  Hemodynamics in a three-dimensional printed aortic model: a comparison of four-dimensional phase-contrast magnetic resonance and image-based computational fluid dynamics.

Authors:  Junghun Kim; Jongmin Lee; Jieun Park; Sinjae Hyun
Journal:  MAGMA       Date:  2022-02-08       Impact factor: 2.533

8.  Fundamentals of turbulent flow spectrum imaging.

Authors:  Hannes Dillinger; Charles McGrath; Christian Guenthner; Sebastian Kozerke
Journal:  Magn Reson Med       Date:  2021-11-16       Impact factor: 3.737

9.  Magnetic resonance measurement of turbulent kinetic energy for the estimation of irreversible pressure loss in aortic stenosis.

Authors:  Petter Dyverfeldt; Michael D Hope; Elaine E Tseng; David Saloner
Journal:  JACC Cardiovasc Imaging       Date:  2013-01

Review 10.  4D flow cardiovascular magnetic resonance consensus statement.

Authors:  Petter Dyverfeldt; Malenka Bissell; Alex J Barker; Ann F Bolger; Carl-Johan Carlhäll; Tino Ebbers; Christopher J Francios; Alex Frydrychowicz; Julia Geiger; Daniel Giese; Michael D Hope; Philip J Kilner; Sebastian Kozerke; Saul Myerson; Stefan Neubauer; Oliver Wieben; Michael Markl
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-10       Impact factor: 5.364

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