Combined T2 -preparation and two-dimensional pencil-beam inner volume selection.

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State: Public
Version: Final published version
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Serval ID
serval:BIB_8D55CC436418
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Combined T2 -preparation and two-dimensional pencil-beam inner volume selection.
Journal
Magnetic Resonance In Medicine
Author(s)
Coristine A.J., van Heeswijk R.B., Stuber M.
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
74
Number
2
Pages
529-536
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
PURPOSE: To improve coronary magnetic resonance angiography (MRA) by combining a two-dimensional (2D) spatially selective radiofrequency (RF) pulse with a T2 -preparation module ("2D-T2 -Prep").
METHODS: An adiabatic T2 -Prep was modified so that the first and last pulses were of differing spatial selectivity. The first RF pulse was replaced by a 2D pulse, such that a pencil-beam volume is excited. The last RF pulse remains nonselective, thus restoring the T2 -prepared pencil-beam, while tipping the (formerly longitudinal) magnetization outside of the pencil-beam into the transverse plane, where it is then spoiled. Thus, only a cylinder of T2 -prepared tissue remains for imaging. Numerical simulations were followed by phantom validation and in vivo coronary MRA, where the technique was quantitatively evaluated. Reduced field-of-view (rFoV) images were similarly studied.
RESULTS: In vivo, full field-of-view 2D-T2 -Prep significantly improved vessel sharpness as compared to conventional T2 -Prep, without adversely affecting signal-to-noise (SNR) or contrast-to-noise ratios (CNR). It also reduced respiratory motion artifacts. In rFoV images, the SNR, CNR, and vessel sharpness decreased, although scan time reduction was 60%.
CONCLUSION: When compared with conventional T2 -Prep, the 2D-T2 -Prep improves vessel sharpness and decreases respiratory ghosting while preserving both SNR and CNR. It may also acquire rFoV images for accelerated data acquisition.
Keywords
Algorithms, Artifacts, Coronary Angiography/methods, Coronary Vessels/anatomy & histology, Female, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Magnetic Resonance Angiography/methods, Male, Reference Values, Sensitivity and Specificity, Signal Processing, Computer-Assisted
Pubmed
Web of science
Create date
12/12/2014 15:34
Last modification date
20/08/2019 15:51
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