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A model for quantification of perfusion in pulsed labelling techniques

F Calamante1, S R Williams, N van Bruggen

  • 1RCS Unit of Biophysics, Institute of Child Health, London, UK.

NMR in Biomedicine
|April 1, 1996
PubMed
Summary

This study introduces a new model for quantifying blood flow using pulsed labeling techniques. Accurate perfusion quantification requires accounting for differences in relaxation times between blood and tissue to avoid significant overestimation of flow.

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Area of Science:

  • Magnetic Resonance Imaging
  • Physiology
  • Biophysics

Background:

  • Pulsed labeling techniques in MRI are crucial for quantifying tissue perfusion.
  • Accurate blood flow measurement is essential for diagnosing various medical conditions.

Purpose of the Study:

  • To develop and validate a mathematical model for quantifying perfusion using pulsed labeling MRI.
  • To assess the impact of incorporating blood-tissue relaxation time differences into the perfusion model.

Main Methods:

  • Solving the modified Bloch equation with flow effects.
  • Fitting experimental data from two separate measurements (inversion and control/selective and non-selective inversions) with varying inversion times.
  • Utilizing a biexponential fitting approach.

Main Results:

  • The proposed model accurately quantifies perfusion in pulsed labeling MRI.
  • Signal contrast is lower (50%) than continuous labeling but offers advantages for human studies (lower power deposition, shorter transit time, interleaved acquisition).
  • Including the difference in relaxation time between blood and tissue is critical; neglecting it can lead to overestimations of flow (up to 100% in white matter, 20% in grey matter).

Conclusions:

  • The developed model provides a robust method for perfusion quantification in pulsed labeling MRI.
  • The model's suitability for human studies is highlighted due to practical advantages over continuous labeling techniques.
  • Accurate perfusion quantification necessitates the consideration of differing blood and tissue relaxation times.