Literature DB >> 23280884

Improved first-pass spiral myocardial perfusion imaging with variable density trajectories.

Michael Salerno1, Christopher Sica, Christopher M Kramer, Craig H Meyer.   

Abstract

PURPOSE: To develop and evaluate variable-density spiral first-pass perfusion pulse sequences for improved efficiency and off-resonance performance and to demonstrate the utility of an apodizing density compensation function (DCF) to improve signal-to-noise ratio (SNR) and reduce dark-rim artifact caused by cardiac motion and Gibbs Ringing.
METHODS: Three variable density spiral trajectories were designed, simulated, and evaluated in 18 normal subjects, and in eight patients with cardiac pathology on a 1.5T scanner.
RESULTS: By using a DCF, which intentionally apodizes the k-space data, the sidelobe amplitude of the theoretical point spread function (PSF) is reduced by 68%, with only a 13% increase in the full-width at half-maximum of the main-lobe when compared with the same data corrected with a conventional variable-density DCF, and has an 8% higher resolution than a uniform density spiral with the same number of interleaves and readout duration. Furthermore, this strategy results in a greater than 60% increase in measured SNR when compared with the same variable-density spiral data corrected with a conventional DCF (P < 0.01). Perfusion defects could be clearly visualized with minimal off-resonance and dark-rim artifacts.
CONCLUSION: Variable-density spiral pulse sequences using an apodized DCF produce high-quality first-pass perfusion images with minimal dark-rim and off-resonance artifacts, high SNR and contrast-to-noise ratio, and good delineation of resting perfusion abnormalities.
Copyright © 2012 Wiley Periodicals, Inc.

Entities:  

Keywords:  myocardial perfusion; saturation recovery; spiral pulse sequences; variable density spirals

Mesh:

Year:  2012        PMID: 23280884      PMCID: PMC3929110          DOI: 10.1002/mrm.24569

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


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