Arterial input function
Updates to Article Attributes
Arterial input function (AIF) is commonly defined as the concentration of the contrast medium in an artery measured over time by placing a region-of-interest (ROI). However it is important to precise that on MRI the estimation of the concentration is obtained indirectly from the induced changes in the relaxation times1.
AIF is graphically described by a time-signal intensity curve on MRI or a time-attenuation curve on CT. These curves are characterised by a baseline (before the arrival of the bolus), a sharp rise to the "peak" (the maximum concentration of contrast medium) followed by slow decrease towards the baseline2.
Selection of the ROI is critical for the correct estimation of AIF and usually involves the choice of a major artery (eg. middle cerebral artery in brain3 or aorta in abdomen4).
In neuroimaging the determination and deconvolution of AIF curves is essential in both dynamic susceptibility MRI (DSC-MRI) and CT perfusion to obtain parameters such as cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), time-to-peak (TTP) and time-to-maximum (Tmax).
On the other hand in dynamic contrast enhanced MRI (DCE-MRI) it is possible to calculate other perfusion parameters such as Ktrans (used in neuroimaging and abdominal imaging) by deconvoluting AIF curves.
-<p><strong>Arterial input function (AIF)</strong> is commonly defined as the concentration of the contrast medium in an artery measured over time by placing a region-of-interest (ROI). However it is important to precise that on MRI the estimation of the concentration is obtained indirectly from the induced changes in the <a href="/articles/relaxation-times">relaxation times</a><sup>1</sup>.</p><p>AIF is graphically described by a time-signal intensity curve on MRI or a time-attenuation curve on CT. These curves are characterised by a baseline (before the arrival of the bolus), a sharp rise to the "peak" (the maximum concentration of contrast medium) followed by slow decrease towards the baseline<sup>2</sup>.</p><p>Selection of the ROI is critical for the correct estimation of AIF and usually involves the choice of a major artery (eg. middle cerebral artery in brain<sup>3</sup> or aorta in abdomen<sup>4</sup>).</p><p>In neuroimaging the determination and deconvolution of AIF curves is essential in both dynamic susceptibility MRI (DSC-MRI) and CT perfusion to obtain parameters such as cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), time-to-peak (TTP) and time-to-maximum (Tmax).</p><p>On the other hand in dynamic contrast enhanced MRI (DCE-MRI) is possible to calculate other perfusion parameters such as Ktrans (used in neuroimaging and abdominal imaging) by deconvoluting AIF curves.</p><p> </p><p> </p><p> </p>- +<p><strong>Arterial input function (AIF)</strong> is commonly defined as the concentration of the contrast medium in an artery measured over time by placing a region-of-interest (ROI). However it is important to precise that on MRI the estimation of the concentration is obtained indirectly from the induced changes in the <a href="/articles/relaxation-times">relaxation times</a><sup>1</sup>.</p><p>AIF is graphically described by a time-signal intensity curve on MRI or a time-attenuation curve on CT. These curves are characterised by a baseline (before the arrival of the bolus), a sharp rise to the "peak" (the maximum concentration of contrast medium) followed by slow decrease towards the baseline<sup>2</sup>.</p><p>Selection of the ROI is critical for the correct estimation of AIF and usually involves the choice of a major artery (eg. middle cerebral artery in brain<sup>3</sup> or aorta in abdomen<sup>4</sup>).</p><p>In neuroimaging the determination and deconvolution of AIF curves is essential in both dynamic susceptibility MRI (DSC-MRI) and CT perfusion to obtain parameters such as cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), time-to-peak (TTP) and time-to-maximum (Tmax).</p><p>On the other hand in dynamic contrast enhanced MRI (DCE-MRI) it is possible to calculate other perfusion parameters such as Ktrans (used in neuroimaging and abdominal imaging) by deconvoluting AIF curves.</p><p> </p><p> </p><p> </p>