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Slice profile optimization in arterial spin labeling using presaturation and optimized RF pulses.

David Alberg Holm1, Karam Sidaros

  • 1Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital, 2650 Hvidovre, Denmark. davidh@drcmr.dk

Magnetic Resonance Imaging
|October 31, 2006
PubMed
Summary

Optimized presaturation effectively minimizes errors in arterial spin labeling (ASL) by improving static tissue subtraction. This technique enhances ASL sensitivity and reduces B(1)-dependent variations, offering a valuable tool for quantitative imaging.

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Area of Science:

  • Magnetic Resonance Imaging
  • Quantitative Perfusion Imaging

Background:

  • Arterial Spin Labeling (ASL) is susceptible to static tissue subtraction errors caused by imperfect slice profiles.
  • Optimized presaturation is a technique to mitigate these errors by saturating spins within the imaging region before labeling.

Purpose of the Study:

  • To compare the efficacy of optimized presaturation versus optimized radiofrequency (RF) pulses in minimizing ASL errors.
  • To evaluate the impact of optimized presaturation on reducing the required tag gap for complete static tissue subtraction.

Main Methods:

  • Numerical simulations of the Bloch equation were used to optimize presaturation parameters (pulse number, position, crusher gradients).
  • Simulations investigated the reduction in tag gap achievable with optimized presaturation.

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  • Results were validated through phantom and in vivo (3T) studies.

    • Main Results:

    • Optimized presaturation reduced the required tag gap to 15% (standard RF pulses) and 11% (c-FOCI RF pulses) in proximal inversion.
    • In flow-sensitive alternating inversion recovery, a single presaturation pulse reduced inversion width to 122% of the imaging slab, with no further reduction from multiple pulses or optimized RF pulses.

    Conclusions:

    • Optimized presaturation achieves comparable inversion width reduction to optimized RF pulses, enhancing ASL sensitivity.
    • Optimized presaturation effectively reduces B(1)-dependent sensitivity in static tissue subtraction, improving quantitative accuracy.