Literature DB >> 16586309

[Cardiac MR tagging: optimization of sequence parameters and comparison at 1.5 T and 3.0 T in a volunteer study].

U Kramer1, V Deshpande, M Fenchel, B Klumpp, G Laub, J P Finn, C D Claussen, S Miller.   

Abstract

PURPOSE: The aim of this study was the optimization of a gradient echo (GRE) MR tagging sequence at 3.0 T in comparison to 1.5 T in order to obtain the best image contrast between the myocardium, tag lines and blood signal. Theoretically expected improvements of signal-to-noise (SNR) and contrast-to-noise ratios (CNR) were also calculated.
MATERIALS AND METHODS: 14 healthy volunteers (8 male, 6 female; mean age 43.4 +/- 10.3 years) were scanned using a 3.0 T as well as a 1.5 T whole-body system. A GRE flash-2 D tagging sequence was evaluated (midventricular short axis view) by varying the flip angle (8 - 16 degrees ), slice thickness (4 - 8 mm; fixed flip angle 1.5/3.0 T: 12 degrees /8 degrees , tag size 8 mm) and tag size (4 - 8 mm, fixed flip angle 1.5/3.0 T: 12 degrees /8 degrees , slice thickness 6 mm). The field of view, acquisition time and temporal resolution (45 ms) were kept constant. Qualitative and quantitative image analysis was performed by calculating the SNR, CNR (tag) as well as the relative contrast between the myocardium and tag lines (RCMT).
RESULTS: Based on individual comparison, the best imaging protocol was found at a slice thickness of 6 mm, tag size of 8 mm, optimized flip angle of 8 degrees (3.0 T) and 12 degrees (1.5 T), respectively. Compared to 1.5 T, a significantly higher overall image score was determined (mean +/- sd; 3.2 +/- 0.2 vs. 2.7 +/- 0.4) and a strong correlation between the CNR (tag) and RCMT for flip angle alpha and the slice thickness was found. A higher field strength resulted in an 80 % increase in the CNR (tag) compared to 1.5 T (mean 10.7/6.1). Furthermore, the SNR was improved by 35 % (mean 20.6/15.3) and the RCMT by 35 % (mean 0.47/0.35).
CONCLUSION: Myocardial tagging at 3.0 T has shown superior image quality in comparison to 1.5 T due to a higher baseline SNR and an improved CNR as well as RCMT. The suppressed fading of the tags enables the accessibility to the diastolic phase of the cardiac cycle.

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Mesh:

Year:  2006        PMID: 16586309     DOI: 10.1055/s-2006-926473

Source DB:  PubMed          Journal:  Rofo        ISSN: 1438-9010


  8 in total

1.  [Myocardial MR tagging: analysis of regional and global myocardial function].

Authors:  U Kramer; A Hennemuth; M Fenchel
Journal:  Radiologe       Date:  2010-06       Impact factor: 0.635

2.  Myocardial tagging with steady state free precession techniques and semi-automatic postprocessing--impact on diagnostic value.

Authors:  Thorsten R C Johnson; Nicole Bayrhof; Armin Huber; Joost P A Kuijer; Roger Luechinger; Olaf Dietrich; Dietrich Stoevesandt; Dorthe Pedersen; Maximilian F Reiser; Stefan O Schoenberg
Journal:  Eur Radiol       Date:  2007-04-19       Impact factor: 5.315

3.  Dobutamine stress tagging and gradient-echo imaging for detection of coronary heart disease at 3 T.

Authors:  D Thomas; C Meyer; K Strach; C P Naehle; J Mazraeh; T Gampert; H H Schild; T Sommer
Journal:  Br J Radiol       Date:  2010-10-19       Impact factor: 3.039

Review 4.  Myocardial tissue tagging with cardiovascular magnetic resonance.

Authors:  Monda L Shehata; Susan Cheng; Nael F Osman; David A Bluemke; João A C Lima
Journal:  J Cardiovasc Magn Reson       Date:  2009-12-21       Impact factor: 5.364

5.  Clinical applications for cardiovascular magnetic resonance imaging at 3 tesla.

Authors:  Allison G Hays; Michael Schär; Sebastian Kelle
Journal:  Curr Cardiol Rev       Date:  2009-08

6.  Adaptive postprocessing techniques for myocardial tissue tracking with displacement-encoded MR imaging.

Authors:  Han Wen; Keith A Marsolo; Eric E Bennett; Kwame S Kutten; Ryan P Lewis; David B Lipps; Neal D Epstein; Jonathan F Plehn; Pierre Croisille
Journal:  Radiology       Date:  2008-01       Impact factor: 11.105

7.  Myocardial strain in healthy adults across a broad age range as revealed by cardiac magnetic resonance imaging at 1.5 and 3.0T: Associations of myocardial strain with myocardial region, age, and sex.

Authors:  Kenneth Mangion; Guillaume Clerfond; Christie McComb; David Carrick; Samuli M Rauhalammi; John McClure; David S Corcoran; Rosemary Woodward; Vanessa Orchard; Aleksandra Radjenovic; Xiaodong Zhong; Colin Berry
Journal:  J Magn Reson Imaging       Date:  2016-04-22       Impact factor: 4.813

8.  Combined myocardial stress perfusion imaging and myocardial stress tagging for detection of coronary artery disease at 3 Tesla.

Authors:  Daniel Thomas; Katharina Strach; Carsten Meyer; Claas P Naehle; Sebastian Schaare; Sven Wasmann; Hans H Schild; Torsten Sommer
Journal:  J Cardiovasc Magn Reson       Date:  2008-12-18       Impact factor: 5.364

  8 in total

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