Data are correlation coefficients for polynomial regression function (second order) using SUV data as independent variables and influx, VB, or k1 as dependent variable. All correlation coefficients are significant for P < 0.01. Best results were obtained for influx, VB, and k1 when both dynamic data of input region and target area were used to estimate parameters. Input + target = SUVs 1–10 min for input area and 1–10 min as well as 56–60 min for target area; target = SUVs 1–10 and 56–60 min for target area; summed image = summed 10-min image (1–10 min) for input area and summed 10-min image (1–10 min) as well as 56–60 min for target area.