SNR-optimized myocardial perfusion imaging using parallel acquisition for effective density-weighted saturation recovery imaging☆☆☆
Abstract
The concept of density-weighted imaging and parallel acquisition for effective density-weighted (PLANED) imaging was transferred to saturation recovery (SR) sequences, in order to increase the SNR in first-pass myocardial perfusion imaging. Filtering in combination with density-weighted imaging allows SNR-optimized data weighting and the free choice of the corresponding spatial response function (SRF) simultaneously. This method was evaluated in simulations and applied successfully to phantom and in vivo first-pass myocardial perfusion studies. Unfiltered, Cartesian sampled images were compared to images acquired with SR-PLANED, which has been adjusted to result in an identical SRF as the Cartesian imaging. SNR-optimized SR-PLANED imaging improved the SNR up to 15% without changing acquisition time, the SRF or the field of view (FOV). The presented method provides high image quality and optimized SNR for first-pass myocardial perfusion imaging.
Keywords: First-pass myocardial perfusion imaging, Density-weighted imaging, Parallel imaging, Spatial response function, Signal-to-noise ratio
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☆ This manuscript was approved by all contributing authors and they attested that the manuscript represents honest work. All authors fulfill the requirement for authorship. This manuscript has not been and will not be published in any other journal. There is no conflict of interest for any of the contributing authors.
☆☆ Grant sponsor: Deutsche Forschungsgemeinschaft (DFG). Grant numbers: KO 2938/1-2, KO 2938/2-1.
PII: S0730-725X(09)00286-0
doi:10.1016/j.mri.2009.11.007
© 2010 Elsevier Inc. All rights reserved.
