Background: This study explores different approaches to estimate the clearance rate of the reference tissue (k ′ 2) parameter used for pharmacokinetic modeling, using the simplified reference tissue model 2 (SRMT2) and further explores the effect on the binding potential (BP ND) of 11 C-labeled Pittsburgh Compound B (PIB) PET scans. Methods: Thirty subjects underwent a dynamic PIB PET scan and were classified as PIB positive (+) or negative (-). Thirteen regions were defined from where to estimate k ′ 2 : the whole brain, eight anatomical region based on the Hammer's atlas, one region based on a SPM comparison between groups on a voxel level, and three regions using different BP SRTM ND thresholds. Results: The different approaches resulted in distinct k ′ 2 estimations per subject. The median value of the estimated k ′ 2 across all subjects in the whole brain was 0.057. In general, PIB+ subjects presented smaller k ′ 2 estimates than this median, and PIB-, larger. Furthermore, only threshold and white matter methods resulted in nonsignificant differences between groups. Moreover, threshold approaches yielded the best correlation between BP SRTM ND and BP SRTM2 ND for both groups (R 2 = 0.85 for PIB+, and R 2 = 0.88 for PIB-). Lastly, a sensitivity analysis showed that overestimating k ′ 2 values resulted in less biased BP SRTM2 ND estimates. Conclusion: Setting a threshold on BP SRTM ND might be the best method to estimate k ′ 2 in voxel-based modeling approaches, while the use of a white matter region might be a better option for a volume of interest based analysis.