Literature DB >> 16958074

Quantification of intravoxel velocity standard deviation and turbulence intensity by generalizing phase-contrast MRI.

Petter Dyverfeldt1, Andreas Sigfridsson, John-Peder Escobar Kvitting, Tino Ebbers.   

Abstract

Turbulent flow, characterized by velocity fluctuations, is a contributing factor to the pathogenesis of several cardiovascular diseases. A clinical noninvasive tool for assessing turbulence is lacking, however. It is well known that the occurrence of multiple spin velocities within a voxel during the influence of a magnetic gradient moment causes signal loss in phase-contrast magnetic resonance imaging (PC-MRI). In this paper a mathematical derivation of an expression for computing the standard deviation (SD) of the blood flow velocity distribution within a voxel is presented. The SD is obtained from the magnitude of PC-MRI signals acquired with different first gradient moments. By exploiting the relation between the SD and turbulence intensity (TI), this method allows for quantitative studies of turbulence. For validation, the TI in an in vitro flow phantom was quantified, and the results compared favorably with previously published laser Doppler anemometry (LDA) results. This method has the potential to become an important tool for the noninvasive assessment of turbulence in the arterial tree.

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Year:  2006        PMID: 16958074     DOI: 10.1002/mrm.21022

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


  36 in total

1.  Four-dimensional flow MRI for evaluation of post-stenotic turbulent flow in a phantom: comparison with flowmeter and computational fluid dynamics.

Authors:  Jihoon Kweon; Dong Hyun Yang; Guk Bae Kim; Namkug Kim; MunYoung Paek; Aurelien F Stalder; Andreas Greiser; Young-Hak Kim
Journal:  Eur Radiol       Date:  2016-01-08       Impact factor: 5.315

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.  Viscous energy loss in the presence of abnormal aortic flow.

Authors:  Alex J Barker; Pim van Ooij; Krishna Bandi; Julio Garcia; Mazen Albaghdadi; Patrick McCarthy; Robert O Bonow; James Carr; Jeremy Collins; S Chris Malaisrie; Michael Markl
Journal:  Magn Reson Med       Date:  2013-10-02       Impact factor: 4.668

Review 4.  4D flow imaging: current status to future clinical applications.

Authors:  Michael Markl; Susanne Schnell; Alex J Barker
Journal:  Curr Cardiol Rep       Date:  2014-05       Impact factor: 2.931

5.  In vitro evaluation of flow patterns and turbulent kinetic energy in trans-catheter aortic valve prostheses.

Authors:  Daniel Giese; Kilian Weiss; Bettina Baeßler; Navid Madershahian; Yeong-Hoon Choi; David Maintz; Alexander C Bunck
Journal:  MAGMA       Date:  2017-09-18       Impact factor: 2.310

Review 6.  Comprehensive 4D velocity mapping of the heart and great vessels by cardiovascular magnetic resonance.

Authors:  Michael Markl; Philip J Kilner; Tino Ebbers
Journal:  J Cardiovasc Magn Reson       Date:  2011-01-14       Impact factor: 5.364

Review 7.  Clinical Applications of MRA 4D-Flow.

Authors:  Lilia M Sierra-Galan; Christopher J François
Journal:  Curr Treat Options Cardiovasc Med       Date:  2019-09-10

Review 8.  Noninvasive Imaging of Flow and Vascular Function in Disease of the Aorta.

Authors:  Matthew C Whitlock; W Gregory Hundley
Journal:  JACC Cardiovasc Imaging       Date:  2015-09

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.  Advanced flow MRI: emerging techniques and applications.

Authors:  M Markl; S Schnell; C Wu; E Bollache; K Jarvis; A J Barker; J D Robinson; C K Rigsby
Journal:  Clin Radiol       Date:  2016-03-02       Impact factor: 2.350

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