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

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  1. Quantification of cerebral perfusion and cerebrovascular reserve using Turbo-QUASAR arterial spin labeling MRI

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  2. Coil profile estimation strategies for parallel imaging with hyperpolarized 13 C MRI

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  3. Gamma-aminobutyric acid edited echo-planar spectroscopic imaging (EPSI) with MEGA-sLASER at 7T

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  4. Comparison of prospective head motion correction with NMR field probes and an optical tracking system

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  5. Improved calculation of the equilibrium magnetization of arterial blood in arterial spin labeling

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  1. Higher physiological vulnerability to hypoxic exposure with advancing age in the human brain

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  2. Investigation of sumatriptan and ketorolac trometamol in the human experimental model of headache

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  3. Effect of pituitary adenylate cyclase-activating polypeptide-27 on cerebral hemodynamics in healthy volunteers: A 3T MRI study

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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.
Original languageEnglish
JournalMagnetic Resonance in Medicine
Volume62
Issue number5
Pages (from-to)1270-81
Number of pages11
ISSN0740-3194
DOIs
Publication statusPublished - 2009

Bibliographical note

Keywords: Adult; Algorithms; Blood Volume; Blood-Brain Barrier; Brain; Brain Neoplasms; Cerebrovascular Circulation; Computer Simulation; Female; Humans; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Male; Middle Aged; Models, Biological; Perfusion Imaging; Permeability

ID: 172553