Plein, S., Ryf, S., Schwitter, J., Radjenovic, A. , Boesiger, P. and Kozerke, S. (2007) Dynamic contrast-enhanced myocardial perfusion MRI accelerated with k-t sense. Magnetic Resonance in Medicine, 58(4), pp. 777-785. (doi: 10.1002/mrm.21381)
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Publisher's URL: http://dx.doi.org/10.1002/mrm.21381
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, 5× k-t SENSE was compared with 2× SENSE (identical acquisition parameters except for in-plane spatial resolution = 1.48 × 1.48 mm2 vs. 2.64 × 2.64 mm2, 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 2× SENSE and 5× 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 5× 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.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Radjenovic, Dr Aleksandra |
Authors: | Plein, S., Ryf, S., Schwitter, J., Radjenovic, A., Boesiger, P., and Kozerke, S. |
College/School: | College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health |
Journal Name: | Magnetic Resonance in Medicine |
Publisher: | Wiley |
ISSN: | 0740-3194 |
ISSN (Online): | 1522-2594 |
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