Figure 3.

(A), A visualization of the trade‐off between the estimation precision on a voxel level and the spread in estimation bias on a population level. Each normalized distribution represents the fit to the histogram of CBF estimates originating from 100 data simulation repeats for a specific ground truth perfusion state ${\mathit{\theta }}_{\mathit{i}}$. These fits were performed for estimates from 10 of the 1000 considered ground truth perfusion states, for the case of only single‐PLD data and the combination of single‐PLD data acquisition with supporting measurements with the lowest variability of CBF estimation in Figure 2A. (B), The average relative standard deviation for estimating α and $T_{1b}$ is contrasted with the average inverse of the single‐PLD PCASL data SNR for the protocols represented on the diagonal in Figure 2A. For these protocols, the scan times for both supporting measurements are equal. The scan time shown on the x‐axis in (B) is the sum of both scan times. The SNR of single‐PLD PCASL data is defined as the ratio of the mean and standard deviation of the set of difference data repeats, where the number of repeats depends on the allocated ASL scan time