Measurement of brain perfusion, blood volume, and blood-brain barrier permeability, using dynamic contrast-enhanced T(1)-weighted MRI at 3 tesla.

  • Larsson H
  • Courivaud F
  • Rostrup E
 et al. 
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Abstract

Assessment of vascular properties is essential to diagnosis and follow-up and basic understanding of pathogenesis in brain tumors. In this study, a procedure is presented that allows concurrent estimation of cerebral perfusion, blood volume, and blood-brain permeability from dynamic T(1)-weighted imaging of a bolus of a paramagnetic contrast agent passing through the brain. The methods are applied in patients with brain tumors and in healthy subjects. Perfusion was estimated by model-free deconvolution using Tikhonov's method (gray matter/white matter/tumor: 72 +/- 16/30 +/- 8/56 +/- 45 mL/100 g/min); blood volume (6 +/- 2/4 +/- 1/7 +/- 6 mL/100 g) and permeability (0.9 +/- 0.4/0.8 +/- 0.3/3 +/- 5 mL/100 g/min) were estimated by using Patlak's method and a two-compartment model. A corroboration of these results was achieved by using model simulation. In addition, it was possible to generate maps on a pixel-by-pixel basis of cerebral perfusion, cerebral blood volume, and blood-brain barrier permeability.

Author-supplied keywords

  • Adult
  • Algorithms
  • Biological
  • Blood Volume
  • Blood-Brain Barrier
  • Blood-Brain Barrier: pathology
  • Blood-Brain Barrier: physiopathology
  • Brain
  • Brain Neoplasms
  • Brain Neoplasms: pathology
  • Brain Neoplasms: physiopathology
  • Brain: blood supply
  • Brain: pathology
  • Brain: physiopathology
  • Cerebrovascular Circulation
  • Computer Simulation
  • Computer-Assisted
  • Computer-Assisted: methods
  • Female
  • Humans
  • Image Interpretation
  • Magnetic Resonance Imaging
  • Magnetic Resonance Imaging: methods
  • Male
  • Middle Aged
  • Models
  • Perfusion Imaging
  • Perfusion Imaging: methods
  • Permeability

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Authors

  • Henrik B W Larsson

  • Frédéric Courivaud

  • Egill Rostrup

  • Adam E Hansen

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