| Dynamic contrast-enhanced myocardial perfusion MRI accelerated with k-t sense. | |
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MedLine Citation:
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PMID: 17899611 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Sven Plein; Salome Ryf; Juerg Schwitter; Aleksandra Radjenovic; Peter Boesiger; Sebastian Kozerke |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine Volume: 58 ISSN: 0740-3194 ISO Abbreviation: Magn Reson Med Publication Date: 2007 Oct |
Date Detail:
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Created Date: 2007-10-02 Completed Date: 2008-02-14 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8505245 Medline TA: Magn Reson Med Country: United States |
Other Details:
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Languages: eng Pagination: 777-85 Citation Subset: IM |
Affiliation:
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Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland. s.plein@leeds.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Artifacts Computer Simulation Coronary Disease / diagnosis Female Heart / physiology* Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging / methods* Male Middle Aged |
| Grant Support | |
ID/Acronym/Agency:
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//Wellcome Trust |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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