Fig 1.
a) Schematic overview of the two-compartment perfusion model explains the FEAST technique, adapted from Wang et al. [6] b) shows raw perfusion-weighted maps and c) perfusion maps after post-processing for a representative subject. Note that the signal intensity is lower after crushing (ΔM') than before (ΔM) and that crushed CBF (CBFcrushed) is weighted toward the micro-vascular CBF whereas non-crushed CBF (CBFnon-crushed) is weighted toward both micro- and macro-vascular CBF. ATT = arterial transit time, ∝ = proportional to.
Fig 2.
ACA (green), MCA (red) and PCA (blue) refer to the standard flow territories perfused by the bilateral anterior, middle and posterior cerebral arteries respectively, whereas the shadings represent their subdivision into proximal, intermediate and distal flow territories, based on arterial transit times.
Fig 3.
a-b) median and c-d) coefficient of variation (CV) maps of non-crushed cerebral blood flow (CBF) and crushed CBF, e) median and f) CV maps of arterial transit time (ATT). g,h) median histograms of (non-) crushed CBF and ATT maps for the three vascular territories. ACA, MCA and PCA refer to the vascular territories perfused by the anterior, middle and posterior cerebral arteries respectively, corresponding to Fig 2.
Table 1.
Distributions of perfusion parameters (n = 186).
Table 2.
Regression coefficients for age and gender (n = 186).
Fig 4.
Proportion of arterial transit time (ATT)−values (y-axis) measured by FEAST that is equal to the post-label delay (PLD), for bin sizes 1–250 ms (x-axis), for flow territories perfused by the anterior (ACA), middle (MCA) and posterior cerebral artery (PCA).