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Identifying systematic errors in quantitative dynamic-susceptibility contrast perfusion imaging by high-resolution

Thies H Jochimsen1, Rexford D Newbould, Stefan T Skare

  • 1Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, D-04103 Leipzig, Germany. thies@jochimsen-sh.de

NMR in Biomedicine
|October 18, 2006
PubMed
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This study improved dynamic-susceptibility contrast magnetic resonance imaging (DSC-MRI) by using multiple echo times and parallel imaging to reduce errors. Quantitative perfusion mapping still requires understanding tracer concentration effects on relaxation rates.

Area of Science:

  • Neuroradiology
  • Medical Imaging Physics

Background:

  • Dynamic-susceptibility contrast magnetic resonance imaging (DSC-MRI) is crucial for perfusion analysis.
  • Standard DSC-MRI techniques face obstacles like noise, T(1) relaxation bias, and partial voluming.

Purpose of the Study:

  • To enhance the accuracy of DSC-MRI perfusion analysis.
  • To identify and mitigate sources of error in DSC-MRI.

Main Methods:

  • Combined multiple gradient-echo technique with parallel imaging (PI).
  • Utilized multiple echo times (TE) to cover tracer concentration dynamic range and fit signal magnitude.
  • Employed PI to balance echoes, coverage, and resolution, reducing partial voluming.

Main Results:

  • Successfully eliminated errors from noise, T(1) relaxation bias, and partial voluming.

Related Experiment Videos

  • Observed a persistent 4-fold overestimation of cerebral blood volume and flow.
  • Identified differing relaxation mechanisms in arterial voxels versus tissue as the likely cause.

    • Conclusions:

    • Standard assumptions of uniform, tissue-independent relaxation rate dependency on tracer concentration are likely incorrect.
    • Accurate quantitative perfusion mapping with DSC-MRI necessitates understanding the precise relationship between transverse relaxation rate and tracer concentration.