The correlation coefficients and regression equations between the ground truth and perfusion parameter estimates for FiTT. The R(t) shape was the gamma distribution, AIF was the standard type, and the source image noise had a standard deviation of zero. Those marked with * are ρ > 0.9, which was considered a strong correlation.

Table 4: The correlation coefficients and regression equations between the ground truth and perfusion parameter estimates for FiTT. The R(t) shape was the gamma distribution, AIF was the standard type, and the source image noise had a standard deviation of zero. Those marked with * are ρ > 0.9, which was considered a strong correlation.

Parameter	Pearson ρ	Regression formula
CBF	1.00^*	y = 0.98x + 0.03
CBV	1.00^*	y = 1.00x + 0.00
MTT	0.99^*	y = 0.97x + 0.29
Tracer delay	0.98^*	y = 0.98x + 0.00