System identification theory in pharmacokinetic modeling of dynamic contrast-enhanced MRI: influence of contrast injection

Magn Reson Med. 2008 May;59(5):1111-9. doi: 10.1002/mrm.21575.

Abstract

Optimization of experimental settings of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), like the contrast administration protocol, is of great importance for reliable quantification of the microcirculatory properties, such as the volume transfer-constant K(trans). Using system identification theory and computer simulations, the confounding effects of volume, rate and multiplicity of a contrast injection on the reliability of K(trans) estimation was assessed. A new tracer-distribution model (TDM), based on in vivo data from rectal cancer patients, served to describe the relationship between the contrast agent injection and the blood time-course. A pharmacokinetic model (PKM) was used to describe the relation between the blood and tumor tissue time-courses. By means of TDM and PKM in series, the tissue-transfer function of the PKM was analyzed. As both the TDM and PKM represented low-frequency-pass filters, the energy-density at low frequencies of the blood and tissue time-courses was larger than at high frequencies. The simulations, based on measurements in humans, predict that the K(trans) is most reliable with a high injection volume administered in a single injection, where high rates only modestly improve K(trans).

MeSH terms

  • Computer Simulation
  • Contrast Media / administration & dosage
  • Contrast Media / pharmacokinetics*
  • Femoral Artery
  • Gadolinium DTPA / administration & dosage
  • Gadolinium DTPA / pharmacokinetics*
  • Humans
  • Image Enhancement / methods*
  • Injections, Intra-Arterial
  • Magnetic Resonance Imaging / methods*
  • Monte Carlo Method
  • Neoplasms / diagnosis*

Substances

  • Contrast Media
  • Gadolinium DTPA