Introduction An accurately measured arterial input function (AIF) is desirable for kinetic modelling using contrast agents. However, in many settings it is not possible to perform such a measurement reliably, either due to data acquisition constraints or due to the lack of a suitable artery within the imaging field of view from which to obtain an AIF. One pragmatic solution to this problem is to use the same assumed AIF for all patients in a study1. To date, only a low temporal resolution assumed AIF has been proposed, based on invasive blood sampling in 5 volunteers1,2. This AIF has been shown to lead to significant errors in the accuracy with which kinetic parameters such as Ktrans, ve, and vb can be quantified3. Here we present a populat...
Purpose: To present a modified pharmacokinetic model for improved parameter accuracy and to investi...
Background: Pharmacokinetic (PK) models can describe microvascular density and integrity. An essenti...
Accurate kinetic modelling of in vivo physiological function using positron emission tomography (PET...
Dynamic Contrast-Enhanced MRI (DCE-MRI) data may be used to non-invasively investigate the health st...
Purpose: To measure the arterial input function (AIF), an essential component of tracer kinetic anal...
Pharmacokinetic analysis of dynamic PET data requires estimation of the arterial input function (AIF...
PURPOSE To compare an (independent) high-temporal-resolution arterial input function (AIF) to an AIF...
Pharmacokinetic modeling is a promising quantitative analysis technique for cancer diagnosis. Howeve...
Objective To investigate the effect of inter-operator variability in arterial input function (AIF) d...
Uncertainty in arterial input function (AIF) estimation is one of the major errors in the quantifica...
Dynamic susceptibility contrast-MRI requires an arterial input function (AIF) to obtain cerebral blo...
Dynamic susceptibility contrast-MRI requires an arterial input function (AIF) to obtain cerebral blo...
Dynamic susceptibility contrast-magnetic resonance imaging (DSC-MRI) data analysis requires the know...
Angiographic methods can provide valuable information on vessel morphology and hemodynamics, but are...
Background: Dynamic contrast-enhanced MRI (DCE-MRI) has the potential to produce images of physiolog...
Purpose: To present a modified pharmacokinetic model for improved parameter accuracy and to investi...
Background: Pharmacokinetic (PK) models can describe microvascular density and integrity. An essenti...
Accurate kinetic modelling of in vivo physiological function using positron emission tomography (PET...
Dynamic Contrast-Enhanced MRI (DCE-MRI) data may be used to non-invasively investigate the health st...
Purpose: To measure the arterial input function (AIF), an essential component of tracer kinetic anal...
Pharmacokinetic analysis of dynamic PET data requires estimation of the arterial input function (AIF...
PURPOSE To compare an (independent) high-temporal-resolution arterial input function (AIF) to an AIF...
Pharmacokinetic modeling is a promising quantitative analysis technique for cancer diagnosis. Howeve...
Objective To investigate the effect of inter-operator variability in arterial input function (AIF) d...
Uncertainty in arterial input function (AIF) estimation is one of the major errors in the quantifica...
Dynamic susceptibility contrast-MRI requires an arterial input function (AIF) to obtain cerebral blo...
Dynamic susceptibility contrast-MRI requires an arterial input function (AIF) to obtain cerebral blo...
Dynamic susceptibility contrast-magnetic resonance imaging (DSC-MRI) data analysis requires the know...
Angiographic methods can provide valuable information on vessel morphology and hemodynamics, but are...
Background: Dynamic contrast-enhanced MRI (DCE-MRI) has the potential to produce images of physiolog...
Purpose: To present a modified pharmacokinetic model for improved parameter accuracy and to investi...
Background: Pharmacokinetic (PK) models can describe microvascular density and integrity. An essenti...
Accurate kinetic modelling of in vivo physiological function using positron emission tomography (PET...