SNR-optimized myocardial perfusion imaging using parallel acquisition for effective density-weighted saturation recovery imaging

Marcel Gutberlet; Oliver Geier; Daniel Stäb; Christian Ritter; Meinrad Beer; Dietbert Hahn; Herbert Köstler

doi:10.1016/j.mri.2009.11.007

SNR-optimized myocardial perfusion imaging using parallel acquisition for effective density-weighted saturation recovery imaging

Magn Reson Imaging. 2010 Apr;28(3):341-50. doi: 10.1016/j.mri.2009.11.007. Epub 2010 Jan 21.

Authors

Marcel Gutberlet¹, Oliver Geier, Daniel Stäb, Christian Ritter, Meinrad Beer, Dietbert Hahn, Herbert Köstler

Affiliation

¹ Institut für Röntgendiagnostik, Universität Würzburg, 97080 Würzburg, Germany.

PMID: 20096527
DOI: 10.1016/j.mri.2009.11.007

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Magnetic Resonance Angiography / methods*
Myocardial Perfusion Imaging / methods*
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity