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Related Experiment Videos

Is quantification of bolus tracking MRI reliable without deconvolution?

Joanna E Perthen1, Fernando Calamante, David G Gadian

  • 1Radiology and Physics Unit, Institute of Child Health, University College London, London, UK. jperthen@ich.ucl.ac.uk

Magnetic Resonance in Medicine
|January 5, 2002
PubMed
Summary

Summary parameters derived from bolus tracking data, like time to peak (TTP), are unreliable for measuring tissue perfusion. Variations in arterial input functions (AIFs) and residue functions (R(t)) significantly impact these parameters, potentially leading to misclassification.

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Pharmacokinetics

Background:

  • Bolus tracking data analysis often uses summary parameters (e.g., TTP) as a simpler alternative to deconvolution.
  • These parameters indirectly assess tissue perfusion but may not account for individual patient variations.

Purpose of the Study:

  • To evaluate the reliability of summary parameters for measuring tissue perfusion.
  • To determine if summary parameters are independent of arterial input functions (AIFs) and residue functions (R(t)).

Main Methods:

  • Simulations were conducted using a realistic range of AIFs and R(t) values.
  • The variability of common summary parameters was assessed under these simulated conditions.
  • Normalization techniques, referencing to AIF or normal tissue, were tested.

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Main Results:

  • Summary parameter values demonstrated high dependence on both AIF and R(t).
  • Normalization methods did not yield measures independent of AIF and R(t).
  • Significant variability suggests potential for incorrect tissue or patient classification.

Conclusions:

  • Summary parameters derived from bolus tracking require cautious interpretation.
  • Variations in AIF and R(t) can lead to misclassification of perfusion status.
  • These parameters may not be reliable standalone measures of tissue perfusion.