Literature DB >> 11536399

Steady-state free precession magnetic resonance imaging of the heart: comparison with segmented k-space gradient-echo imaging.

S Plein1, T N Bloomer, J P Ridgway, T R Jones, G J Bainbridge, M U Sivananthan.   

Abstract

Steady-state free precession imaging is a promising technique for cardiac magnetic resonance imaging (MRI), as it provides improved blood/myocardial contrast in shorter acquisition times compared with conventional gradient-echo acquisition. The better contrast could improve observer agreement and automatic detection of cardiac contours for volumetric assessment of the ventricles, but measurements might differ from those obtained using conventional methods. We compared volumetric measurements, observer variabilities, and automatic contour detection between a steady-state free precession imaging sequence (BFFE = balanced fast field echo) and segmented k-space gradient-echo acquisition (TFE = turbo field echo) in 41 subjects. With BFFE, significantly higher end-diastolic and end-systolic volumes and lower wall thickness, ventricular mass, ejection fraction, and wall motion were observed (P < 0.0001), while interobserver variabilities were lower and automatic contour detection of endocardial contours was more successful. We conclude that the improved image quality of BFFE reduces the observer-dependence of volumetric measurements of the left ventricle (LV) but results in significantly different values in comparison to TFE measurements. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11536399     DOI: 10.1002/jmri.1178

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


  52 in total

1.  Dual breath-hold magnetic resonance cine evaluation of global and regional cardiac function.

Authors:  Bernd J Wintersperger; Spencer Sincleair; Val M Runge; Olaf Dietrich; Armin Huber; Maximilian F Reiser; Stefan O Schoenberg
Journal:  Eur Radiol       Date:  2006-04-22       Impact factor: 5.315

2.  Steady-state free precession sequences in myocardial first-pass perfusion MR imaging: comparison with TurboFLASH imaging.

Authors:  Peter Hunold; Stefan Maderwald; Holger Eggebrecht; Florian M Vogt; Jörg Barkhausen
Journal:  Eur Radiol       Date:  2003-11-26       Impact factor: 5.315

3.  Validation of 4D-MSPECT and QGS for quantification of left ventricular volumes and ejection fraction from gated 99mTc-MIBI SPET: comparison with cardiac magnetic resonance imaging.

Authors:  Claudia S A Lipke; Harald P Kühl; Bernd Nowak; Hans-Juergen Kaiser; Patrick Reinartz; Karl-Christian Koch; Udalrich Buell; Wolfgang M Schaefer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-01-14       Impact factor: 9.236

Review 4.  Future prospects in cardiac magnetic resonance imaging.

Authors:  Mark Doyle; Robert W W Biederman
Journal:  Curr Cardiol Rep       Date:  2003-01       Impact factor: 2.931

5.  MR-guided catheter navigation of the intracranial subarachnoid space.

Authors:  George Rappard; Gregory J Metzger; James L Fleckenstein; Evelyn E Babcock; Paul T Weatherall; Robert E Replogle; G Lee Pride; Susan L Miller; Christina E Adams; Phillip D Purdy
Journal:  AJNR Am J Neuroradiol       Date:  2003-04       Impact factor: 3.825

6.  Evaluation of aortic stenosis by cardiovascular magnetic resonance imaging: comparison with established routine clinical techniques.

Authors:  C Kupfahl; M Honold; G Meinhardt; H Vogelsberg; A Wagner; H Mahrholdt; U Sechtem
Journal:  Heart       Date:  2004-08       Impact factor: 5.994

Review 7.  Assessment of ventricular function and mass by cardiac magnetic resonance imaging.

Authors:  Khaled Alfakih; Scott Reid; Tim Jones; Mohan Sivananthan
Journal:  Eur Radiol       Date:  2004-07-17       Impact factor: 5.315

8.  3D breath-held cardiac function with projection reconstruction in steady state free precession validated using 2D cine MRI.

Authors:  Dana C Peters; Daniel B Ennis; Pratik Rohatgi; Mushabbar A Syed; Elliot R McVeigh; Andrew E Arai
Journal:  J Magn Reson Imaging       Date:  2004-09       Impact factor: 4.813

9.  Cardiac chamber quantification using magnetic resonance imaging at 7 Tesla--a pilot study.

Authors:  Florian von Knobelsdorff-Brenkenhoff; Tobias Frauenrath; Marcel Prothmann; Matthias A Dieringer; Fabian Hezel; Wolfgang Renz; Kerstin Kretschel; Thoralf Niendorf; Jeanette Schulz-Menger
Journal:  Eur Radiol       Date:  2010-07-17       Impact factor: 5.315

10.  Motion-compensated data decomposition algorithm to accelerate dynamic cardiac MRI.

Authors:  Azar Tolouee; Javad Alirezaie; Paul Babyn
Journal:  MAGMA       Date:  2017-05-31       Impact factor: 2.310

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