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Related Experiment Videos

Improved perfusion quantification in FAIR imaging by offset correction.

K Sidaros1, I K Andersen, H Gesmar

  • 1Department of Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark. karams@magnet.drcmr.dk

Magnetic Resonance in Medicine
|July 10, 2001
PubMed
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Pulsed arterial spin labeling perfusion quantification is sensitive to RF pulse slice profiles. A new model allows thinner inversion slabs in Flow-sensitive Alternating-Inversion Recovery (FAIR) imaging, improving perfusion sensitivity.

Area of Science:

  • Magnetic Resonance Imaging
  • Medical Physics
  • Neuroimaging

Background:

  • Pulsed arterial spin labeling (ASL) perfusion quantification is sensitive to radiofrequency (RF) pulse slice profiles.
  • Flow-sensitive Alternating-Inversion Recovery (FAIR) imaging typically uses slice-selective (ss) inversion slabs 3-4 times thicker than the imaging slice to mitigate this sensitivity.
  • Thicker ss inversion slabs reduce perfusion sensitivity by increasing blood transit delay.

Purpose of the Study:

  • To investigate the dependence of magnetization on RF pulse slice profiles in ASL.
  • To develop a novel perfusion quantification model for ASL.
  • To enable the use of thinner ss inversion slabs in FAIR imaging without compromising perfusion sensitivity.

Main Methods:

  • Theoretical analysis of magnetization dependence on RF pulse slice profiles.

Related Experiment Videos

  • Experimental validation using phantom and human studies.
  • Development of a perfusion quantification model accounting for RF slice profile offsets.

    • Main Results:

    • Demonstrated sensitivity of perfusion quantification to RF pulse slice profiles.
    • Presented a new model that corrects for RF slice profile offsets.
    • Showcased the model's ability to allow thinner ss inversion slabs in FAIR imaging.

    Conclusions:

    • The developed model accurately quantifies perfusion with thinner ss inversion slabs.
    • This approach improves perfusion sensitivity in FAIR imaging by reducing transit delay.
    • The findings have implications for more accurate and efficient ASL-based perfusion measurements.