Assessment of Cerebral Blood Volume with Dynamic Susceptibility Contrast Enhanced Gradient-Echo Imaging

Gückel, F.; Brix, Gunnar; Rempp, Katrin; Deimling, M.; Röther, Joachim; Georgi, M

doi:10.1097/00004728-199405000-00002

Cited by 108 publications

(58 citation statements)

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“…al (6), Rempp et al (7), and Guckel et al (8) in the early 1990s. Since then, the assessment of perfusion related parameters have been based on the fact that the large gadolinium-induced magnetic moment in the cerebral vessels may give rise to a strong paramagnetic susceptibility effect (R2*).…”

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confidence: 99%

Quantitative cerebral perfusion using the PRESTO acquisition scheme

Pedersen

Klarhöfer

Christensen

et al. 2004

Magnetic Resonance Imaging

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Purpose:To evaluate the feasibility of using the rapid principles of echo shifting with a train of observations (PRESTO) sequence for measurements of cerebral hemodynamic parameters based on first pass of a contrast agent. Materials and Methods:Simulations were performed to investigate potential resolution loss due to relaxation effects. Experimental evaluation was conducted in healthy monkey brains using PRESTO and echo-planar imaging (EPI).Results: For short echo trains, an insignificant contribution of the longitudinal and transversal relaxation rates to the signal amplitude in white matter and gray matter was found, whereas a contribution as large as 40% was found in large vessels. Simulations of the point spread function demonstrated that PRESTO, despite its shorter readout trains, only has a small advantage in terms of maintenance of image resolution during bolus passage compared to EPI as long as the EPI echo train can be kept similar to the T2* value at the top of the bolus. Experimental studies revealed that the PRESTO and EPI gray matter to white matter ratio were similar with respect to cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit time (MTT). Conclusion:The study showed that PRESTO and EPI led to comparable quantitative perfusion parameters.

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confidence: 99%

Quantitative cerebral perfusion using the PRESTO acquisition scheme

Pedersen

Klarhöfer

Christensen

et al. 2004

Magnetic Resonance Imaging

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“…The approach outlined above initially involves computation of relative CBV (rCBV) (10,11), which is a well-defined and easily calculated parameter. The equation describing formation of T2*-weighted image intensity values I i for voxel i ignores flow-based and partial-volume measurement artifacts and is written:…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Can dynamic susceptibility contrast magnetic resonance imaging perfusion data be analyzed using a model based on directional flow?

Thacker

Scott

Jackson

2003

Magnetic Resonance Imaging

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Purpose:To examine the implications of a physiological model of cerebral blood that uses the contradictory assumption that blood flow in all voxels of DSCE-MRI data sets is directional in nature. Analysis of dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSCE-MRI) uses techniques based on indicator dilution theory. Underlying this approach is an assumption that blood flow through pixels of gray and white matter is entirely random in direction. Materials and Methods:We have used a directional flow model to estimate theoretical blood flow velocities that would be observed through normal cerebral tissues. Estimates of flow velocities from individual pixels were made by measuring the mean transit time for net flow (nMTT). Measurements of nMTT were made for each voxel by estimating the mean difference in contrast arrival time between each of the adjacent six voxels. Conclusion: A directional model of blood flow provides an alternative approach to the calculation of cerebral blood flow from (CBF) DSCE-MRI data.

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“…Images from the first baseline period (images [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] were used for the calculation of S(0) in Eqn. 1.…”

Section: Calculations and Statisticsmentioning

confidence: 99%

“…Other methods that have been proposed range from the use of inflow phenomena (6,7,9) to the employment of exogenous paramagnetic contrast. Among these latter methods most groups are working on the line of bolus tracking by fast gradient echo imaging with T2*-weighting (8,18,28,33,34,40,42); others have proposed the use of fast TI measurements at a steady-state distribution of the intravascular contrast agent (36,37).…”

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confidence: 99%

Susceptibility Contrast Imaging of CO₂-Induced Changes in the Blood Volume of the Human Brain

Rostrup¹,

Larsson²,

Toft³

et al. 1996

Acta Radiol

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Assessment of Cerebral Blood Volume with Dynamic Susceptibility Contrast Enhanced Gradient-Echo Imaging

Cited by 108 publications

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Quantitative cerebral perfusion using the PRESTO acquisition scheme

Quantitative cerebral perfusion using the PRESTO acquisition scheme

Can dynamic susceptibility contrast magnetic resonance imaging perfusion data be analyzed using a model based on directional flow?

Susceptibility Contrast Imaging of CO₂-Induced Changes in the Blood Volume of the Human Brain

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Assessment of Cerebral Blood Volume with Dynamic Susceptibility Contrast Enhanced Gradient-Echo Imaging

Cited by 108 publications

References 0 publications

Quantitative cerebral perfusion using the PRESTO acquisition scheme

Quantitative cerebral perfusion using the PRESTO acquisition scheme

Can dynamic susceptibility contrast magnetic resonance imaging perfusion data be analyzed using a model based on directional flow?

Susceptibility Contrast Imaging of CO2-Induced Changes in the Blood Volume of the Human Brain

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Susceptibility Contrast Imaging of CO₂-Induced Changes in the Blood Volume of the Human Brain