The calculation of Ki using arterial input function, time-activity curve, and Hawkins model was limited to a small skeletal region covered by the narrow field-of-view of the PET scanner while acquiring a dynamic scan. However, Siddique et al. showed in 2012 that it is possible to measure K values in bones using static [F]NaF PET scans. Blake et al. later showed in 2019 that the K obtained using the Siddique–Blake method has precision errors of less than 10%. The Siddique–Blake approach is based on the combination of the Patlak method, the semi-population based arterial input function, and the information that V does not significantly change post-treatment. This method uses the information that a linear regression line can be plotted using the data from a minimum of two time-points, to obtain m and c as explained in the Patlak method. However, if V is known or fixed, only one single static PET image is required to obtain the second time-point to measure m, representing the K value. This method should be applied with great caution to other clinical areas where these assumptions may not hold true.