Accuracy of gamma-variate fits to concentration-time curves from dynamic susceptibility-contrast enhanced MRI: Influence of time resolution, maximal signal drop and signal-to-noise

Benner, Thomas; Heiland, Sabine; Erb, Gunter; Forsting, Michael; Sartor, Klaus

doi:10.1016/s0730-725x(96)00392-x

Cited by 104 publications

(89 citation statements)

References 17 publications

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“…Increased enhancement inevitably improves the signal-to-noise ratio of observed time-enhancement curves, thus making the calculation of physiologic parameters more robust. 12 In addition, the increased peak height has an additional benefit of reducing the bolus duration when the total iodine dose is kept constant. In our study using a 400-mg/mL agent, the bolus duration was 1 second shorter than that with the 350-mg/mL agent and 2 seconds shorter than that with 300-mg/mL agent.…”

Section: Discussionmentioning

confidence: 99%

Increasing Contrast Agent Concentration Improves Enhancement in First-Pass CT Perfusion

Silvennoinen¹,

Hamberg²,

Valanne³

et al. 2007

American Journal of Neuroradiology

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Section: Discussionmentioning

confidence: 99%

Increasing Contrast Agent Concentration Improves Enhancement in First-Pass CT Perfusion

Silvennoinen¹,

Hamberg²,

Valanne³

et al. 2007

American Journal of Neuroradiology

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“…The signal-sampling rate was 0.44 Hz, corresponding to a sampling interval (⌬T) of 2.25 seconds, typical of DSC MR perfusion imaging protocols at our institution and others. The arterial input c a (t) was modeled as a gamma-variate function (i.e., t a e -bt ) (1,4,14), with constants a ϭ 3.0 and b ϭ 1.5 seconds (1). The tissue residue function R(t) was modeled by a decaying monoexponential function, characterizing brain tissue of interest as a single, well-mixed compartment (1).…”

Section: Methodsmentioning

confidence: 99%

The impact of partial‐volume effects in dynamic susceptibility contrast magnetic resonance perfusion imaging

Chen

Smith

Frayne

2005

Magnetic Resonance Imaging

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Purpose:To demonstrate the degree of the cerebral blood flow (CBF) estimation bias that could arise from distortion of the arterial input function (AIF) as a result of partialvolume effects (PVEs) in dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI). Materials and Methods:A model of the volume fraction an artery occupies in a voxel was devised, and a mathematical relationship between the amount of PVE and the measured baseline MR signal intensity was derived. Based on this model, simulation studies were performed to assess the impact of PVE on CBF. Furthermore, the effectiveness of linear PVE compensation approaches on the concentration function was investigated. Results:Simulation results showed a nonlinear relationship between PVE and the resulting CBF measurement error. In addition to AIF underestimation, PVE also causes distortions of AIF frequency characteristics, leading to CBF errors varying with mean transit time (MTT). An uncorrected AIF measured at a voxel with a partial-volume fraction of Յ50% could produce a CBF overestimation of more than fourfold. Linear compensation of the concentration curves did not produce correct CBF estimates.Conclusion: PVE can induce significant CBF estimation biases. In addition, the MTT dependence of CBF accuracy raises doubts of the validity of adopting a single crosscalibration factor (i.e., setting normal white matter to 22 mL minute -1 (100 g) -1 ) to obtain CBF values with absolute units. The impact of PVE may be reduced by decreasing the maximum arterial signal drop in the perfusion images. To correct the AIF distortions introduced by PVE, the nonlinear relationship between the impact of PVE on MR signal intensity and contrast concentration function must be considered.

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“…In general, faster injection rates lead to higher maximal signal drops, which allow improved fitting results of parametric models. 9 On the other hand, higher contrast doses are known to improve the peak signal-to-noise ratio. 22 Although it may be assumed that a higher contrast agent dose and faster injection should enable the best hemodynamic analysis, Kopka et al 23 reported that flow rates higher than 4 mL/s may lead to reduced image contrast due to problems with typically applied k-space sampling techniques during image acquisition.…”

Section: Discussionmentioning

confidence: 99%

“…Benner et al 9 used computer simulations to measure the accuracy of gamma variate fits, 10 with respect to the time resolution and maximal signal drop. Lu and Monhan 11 investigated the error propagation of gamma variate fits, comparing different fitting algorithms.…”

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confidence: 99%

Analysis of the Influence of 4D MR Angiography Temporal Resolution on Time-to-Peak Estimation Error for Different Cerebral Vessel Structures

Forkert

Illies

Möller

et al. 2012

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Time-resolved MRA imaging is a promising technique for blood flow evaluation in case of cerebrovascular malformations. Unfortunately, 4D MRA imaging is a trade-off between spatial and temporal resolution. The aim of this study was to investigate the influence of temporal resolution on the error associated with TTP estimation from indicator dilution curves derived from different vascular structures.

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Accuracy of gamma-variate fits to concentration-time curves from dynamic susceptibility-contrast enhanced MRI: Influence of time resolution, maximal signal drop and signal-to-noise

Cited by 104 publications

References 17 publications

Increasing Contrast Agent Concentration Improves Enhancement in First-Pass CT Perfusion

Increasing Contrast Agent Concentration Improves Enhancement in First-Pass CT Perfusion

The impact of partial‐volume effects in dynamic susceptibility contrast magnetic resonance perfusion imaging

Analysis of the Influence of 4D MR Angiography Temporal Resolution on Time-to-Peak Estimation Error for Different Cerebral Vessel Structures

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