Dynamic contrast-enhanced myocardial perfusion MRI accelerated with k-t sense.

Details

Serval ID
serval:BIB_1066CF98F50F
Type
Article: article from journal or magazin.
Collection
Publications
Title
Dynamic contrast-enhanced myocardial perfusion MRI accelerated with k-t sense.
Journal
Magnetic Resonance in Medicine
Author(s)
Plein S., Ryf S., Schwitter J., Radjenovic A., Boesiger P., Kozerke S.
ISSN
0740-3194 (Print)
ISSN-L
0740-3194
Publication state
Published
Issued date
2007
Volume
58
Number
4
Pages
777-785
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
In the k-t sensitivity encoding (k-t SENSE) method spatiotemporal data correlations are exploited to accelerate data acquisition in dynamic MRI studies. The present study demonstrates the feasibility of applying k-t SENSE to contrast-enhanced myocardial perfusion MRI and using the speed-up to increase spatial resolution. At a net acceleration factor of 3.9 (k-t factor of 5 with 11 training profiles) accurate representations of dynamic signal intensity (SI) changes were achieved in computer simulations. In vivo, 5x k-t SENSE was compared with 2x SENSE (identical acquisition parameters except for in-plane spatial resolution = 1.48 x 1.48 mm(2) vs. 2.64 x 2.64 mm(2), respectively). In 10 volunteers no differences in myocardial SI profiles were found (relative peak enhancement = 151% vs. 149.7%, maximal upslope = 12.9%/s vs. 13.3%/s for 2x SENSE and 5x k-t SENSE, respectively, all P > 0.05). Overall image quality was similar, but endocardial dark rim artifacts were reduced with k-t SENSE. Signal-to-noise ratio (SNR) in the myocardium was greater with 5x k-t SENSE by a factor of 1.36 +/- 0.23 at peak contrast enhancement with the relative yield decreasing with increasing dynamics in the object in accordance to theory. Higher nominal acceleration factors of up to 10-fold were shown to be feasible in computer simulations and in vivo.
Keywords
Adult, Artifacts, Computer Simulation, Coronary Disease/diagnosis, Female, Heart/physiology, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging/methods, Male, Middle Aged
Pubmed
Web of science
Create date
07/09/2011 17:00
Last modification date
20/08/2019 12:37
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