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Parallel imaging for first-pass myocardial perfusion.

Roy Irwan1, Daniël D Lubbers, Pieter A van der Vleuten

  • 1Department of Radiology, University Medical Center Groningen, State University Groningen, 9700 RB Groningen, The Netherlands. r.irwan@rad.umcg.nl

Magnetic Resonance Imaging
|June 2, 2007
PubMed
Summary

GeneRalized Autocalibrating Partially Parallel Acquisition (GRAPPA) showed higher signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in first-pass myocardial perfusion imaging. However, Time-adaptive SENSitivity Encoding (TSENSE) provided more consistent results, potentially offering better diagnostic value.

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Area of Science:

  • Cardiovascular Imaging
  • Medical Physics
  • Radiology

Background:

  • First-pass myocardial perfusion imaging is crucial for diagnosing coronary artery disease.
  • Parallel imaging techniques like TSENSE and GRAPPA accelerate image acquisition.
  • Optimizing SNR, CNR, and image quality is essential for accurate perfusion assessment.

Purpose of the Study:

  • To compare the performance of adaptive Time-adaptive SENSitivity Encoding (TSENSE) and GeneRalized Autocalibrating Partially Parallel Acquisition (GRAPPA) for first-pass myocardial perfusion imaging.
  • To evaluate differences in signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and image artifacts between TSENSE and GRAPPA.
  • To determine which parallel imaging method offers superior diagnostic value in patients with coronary artery disease.

Main Methods:

  • Two parallel imaging methods, TSENSE and GRAPPA, were applied to a gradient-echo sequence for first-pass myocardial perfusion imaging.
  • The study included 12 patients with coronary artery disease, with acquisition order randomized.
  • An acceleration rate of 2 was used for both methods during breath-holding after contrast bolus administration.

Main Results:

  • GRAPPA demonstrated significantly higher SNR, CNR, and overall image quality compared to TSENSE, particularly on the first contrast bolus.
  • GRAPPA did not show improved CNR when applied after a second contrast bolus.
  • TSENSE yielded more consistent SNR and CNR across subjects and repeated scans than GRAPPA, suggesting potentially greater diagnostic reliability.

Conclusions:

  • GRAPPA offers superior image quality and CNR for initial myocardial perfusion assessment.
  • TSENSE provides more consistent SNR and CNR, indicating its potential for more reliable diagnostic interpretation in myocardial perfusion imaging.
  • The choice between GRAPPA and TSENSE may depend on the specific clinical application and desired balance between image quality and consistency.