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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Measurement of brain perfusion, blood volume, and blood-brain barrier permeability, using dynamic contrast-enhanced T(1)-weighted MRI at 3 tesla. / Larsson, Henrik B W; Courivaud, Frédéric; Rostrup, Egill; Hansen, Adam E; Larsson, Henrik B W; Courivaud, Frédéric; Rostrup, Egill; Hansen, Adam E.
In: Magnetic Resonance in Medicine, Vol. 62, No. 5, 2009, p. 1270-81.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Measurement of brain perfusion, blood volume, and blood-brain barrier permeability, using dynamic contrast-enhanced T(1)-weighted MRI at 3 tesla
AU - Larsson, Henrik B W
AU - Courivaud, Frédéric
AU - Rostrup, Egill
AU - Hansen, Adam E
AU - Larsson, Henrik B W
AU - Courivaud, Frédéric
AU - Rostrup, Egill
AU - Hansen, Adam E
N1 - 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
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
U2 - 10.1002/mrm.22136
DO - 10.1002/mrm.22136
M3 - Journal article
C2 - 19780145
VL - 62
SP - 1270
EP - 1281
JO - Magnetic Resonance in Medicine
JF - Magnetic Resonance in Medicine
SN - 0740-3194
IS - 5
ER -
ID: 21337121