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Related Experiment Videos

Left ventricular radial tagging acquisition using gradient-recalled-echo techniques: sequence optimization

H Bosmans1, J Bogaert, F Rademakers

  • 1Department of Radiology, University Hospitals, Leuven, Belgium.

Magma (New York, N.Y.)
|June 1, 1996
PubMed
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This study optimized magnetic resonance (MR) tagging for faster, more robust left ventricular (LV) strain analysis. Gradient-recalled echo (GRE) sequences with optimized parameters significantly improve myocardial tagging.

Area of Science:

  • Cardiovascular Imaging
  • Magnetic Resonance Imaging
  • Biomedical Engineering

Background:

  • Myocardial tagging using magnetic resonance (MR) imaging enables noninvasive left ventricular (LV) strain analysis.
  • Conventional spin-echo (SE) techniques are time-consuming and susceptible to artifacts, limiting their clinical utility.
  • Optimizing MR tagging sequences is crucial for efficient and reliable LV strain assessment.

Purpose of the Study:

  • To develop and optimize a faster and more robust MR tagging sequence for clinical 1 Tesla (T) systems.
  • To enhance tag persistence throughout the cardiac cycle for improved strain analysis.
  • To compare gradient-recalled echo (GRE) based tagging with traditional SE methods.

Main Methods:

  • Implemented tagging pulses within gradient-recalled echo (GRE) sequences on a 1 T MR system.

Related Experiment Videos

  • Investigated the impact of flow-compensating gradients, excitation angles, and saturation pulse angles.
  • Conducted MR signal simulations and comparative measurements in volunteers.
  • Main Results:

    • GRE acquisitions utilizing flow-compensating gradients demonstrated robustness for myocardial tagging.
    • Optimized flip angles and saturation pulses significantly improved tag delineation.
    • Tags remained visible for at least 700 ms post-R-wave, enhancing temporal resolution.

    Conclusions:

    • Optimized GRE-based MR tagging is a robust and promising technique for LV strain analysis.
    • This method offers improved speed and artifact reduction compared to SE techniques.
    • The optimized sequence facilitates more accurate and efficient noninvasive cardiac assessment.