Literature DB >> 22745007

Flow-sensitive 4D MRI of the thoracic aorta: comparison of image quality, quantitative flow, and wall parameters at 1.5 T and 3 T.

Christoph Strecker1, Andreas Harloff, Wolf Wallis, Michael Markl.   

Abstract

PURPOSE: To evaluate the effect of field strength on flow-sensitive 4D magnetic resonance imaging (MRI) of the thoracic aorta. A volunteer study at 1.5 T and 3 T was conducted to compare phase-contrast MR angiography (MRA) and 3D flow visualization quality as well as quantification of aortic hemodynamics.
MATERIALS AND METHODS: Ten healthy volunteers were examined by flow-sensitive 4D MRI at both 1.5 T and 3 T MRI with identical imaging parameters (TE/TR = 6/5.1 msec, spatial/temporal resolution ≈2 mm/40.8 msec). Analysis included assessment of image quality of derived aortic 3D phase contrast (PC) angiography and 3D flow visualization (semiquantitative grading on a 0-2 scale, two blinded observers) and quantification of blood flow velocities, net flow per cardiac cycle, wall shear stress (WSS), and velocity noise.
RESULTS: Quality of 3D blood flow visualization (average grading = 1.8 ± 0.4 at 3 T vs. 1.1 ± 0.7 at 1.5 T) and the depiction of aortic lumen geometry by 3D PC-MRA (1.7 ± 0.5 vs. 1.2 ± 0.6) were significantly (P < 0.01) improved at 3 T while velocity noise was significantly higher (P < 0.01) at 1.5 T. Velocity quantification resulted in minimally altered (0.05 m/s, 3 mL/cycle and 0.01 N/m(2)) but not statistically different (P = 0.40, P = 0.39, and P = 0.82) systolic peak velocities, net flow, and WSS for 1.5 T compared to 3 T.
CONCLUSION: Flow-sensitive 4D MRI at 3 T provided improved image quality without additional artifacts related to higher fields. Imaging at 1.5 T MRI, which is more widely available, was also feasible and provided information on aortic 3D hemodynamics of moderate quality with identical performance regarding quantitative analysis.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22745007     DOI: 10.1002/jmri.23735

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


  21 in total

1.  Four-dimensional flow magnetic resonance imaging-based characterization of aortic morphometry and haemodynamics: impact of age, aortic diameter, and valve morphology.

Authors:  Julio Garcia; Alex J Barker; Ian Murphy; Kelly Jarvis; Susanne Schnell; Jeremy D Collins; James C Carr; S Chris Malaisrie; Michael Markl
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-09-15       Impact factor: 6.875

2.  SPATIO-TEMPORAL COMPLEXITY OF THE AORTIC SINUS VORTEX.

Authors:  Brandon Moore; Lakshmi Prasad Dasi
Journal:  Exp Fluids       Date:  2014-06-01       Impact factor: 2.480

3.  Reproducibility study of four-dimensional flow MRI of arterial and portal venous liver hemodynamics: influence of spatio-temporal resolution.

Authors:  Zoran Stankovic; Bernd Jung; Jeremy Collins; Maximilian F Russe; James Carr; Wulf Euringer; Lena Stehlin; Zoltan Csatari; Peter C Strohm; Mathias Langer; Michael Markl
Journal:  Magn Reson Med       Date:  2013-09-09       Impact factor: 4.668

4.  Age-related changes in aortic 3D blood flow velocities and wall shear stress: Implications for the identification of altered hemodynamics in patients with aortic valve disease.

Authors:  Pim van Ooij; Julio Garcia; Wouter V Potters; S Chris Malaisrie; Jeremy D Collins; James C Carr; Michael Markl; Alex J Barker
Journal:  J Magn Reson Imaging       Date:  2015-10-19       Impact factor: 4.813

5.  Characterization of abnormal wall shear stress using 4D flow MRI in human bicuspid aortopathy.

Authors:  Pim van Ooij; Wouter V Potters; Jeremy Collins; Maria Carr; James Carr; S Chris Malaisrie; Paul W M Fedak; Patrick M McCarthy; Michael Markl; Alex J Barker
Journal:  Ann Biomed Eng       Date:  2014-08-14       Impact factor: 3.934

6.  Volumetric quantification of absolute local normalized helicity in patients with bicuspid aortic valve and aortic dilatation.

Authors:  Julio Garcia; Alex J Barker; Jeremy D Collins; James C Carr; Michael Markl
Journal:  Magn Reson Med       Date:  2016-08-19       Impact factor: 4.668

7.  Blood flow characteristics in the ascending aorta after aortic valve replacement--a pilot study using 4D-flow MRI.

Authors:  Florian von Knobelsdorff-Brenkenhoff; Ralf F Trauzeddel; Alex J Barker; Henriette Gruettner; Michael Markl; Jeanette Schulz-Menger
Journal:  Int J Cardiol       Date:  2013-11-25       Impact factor: 4.164

8.  Distribution of blood flow velocity in the normal aorta: Effect of age and gender.

Authors:  Julio Garcia; Roel L F van der Palen; Emilie Bollache; Kelly Jarvis; Michael J Rose; Alex J Barker; Jeremy D Collins; James C Carr; Joshua Robinson; Cynthia K Rigsby; Michael Markl
Journal:  J Magn Reson Imaging       Date:  2017-05-26       Impact factor: 4.813

9.  Peak wall stress predicts expansion rate in descending thoracic aortic aneurysms.

Authors:  Eric K Shang; Derek P Nathan; Shanna R Sprinkle; Sarah C Vigmostad; Ronald M Fairman; Joseph E Bavaria; Robert C Gorman; Joseph H Gorman; Krishnan B Chandran; Benjamin M Jackson
Journal:  Ann Thorac Surg       Date:  2012-12-13       Impact factor: 4.330

10.  Oxidative stress modulates vascular smooth muscle cell phenotype via CTGF in thoracic aortic aneurysm.

Authors:  Emanuela Branchetti; Paolo Poggio; Rachana Sainger; Eric Shang; Juan B Grau; Benjamin M Jackson; Eric K Lai; Michael S Parmacek; Robert C Gorman; Joseph H Gorman; Joseph E Bavaria; Giovanni Ferrari
Journal:  Cardiovasc Res       Date:  2013-08-28       Impact factor: 10.787

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