Lianghua Li, Wenjian Gu, Wentong Yang, Weijun Wei, Jianjun Liu, Gang Huang, Junbo Ge, Gongning Luo, Shiming Xu, Yun Zhou
2026.2.14EJNMMI Physics
tlooto Summary
A population-based Patlak model named Patlak-PBNT, which incorporates a population-based “normalized time” (PBNT) into the traditional Patlak plot, which effectively reduces PET scan duration while maintaining the quality of generated Ki images.
Abstract
Purpose The objective of this study is to generate reliable Ki parametric images from short-duration total-body PET scan for clinical applications using a simple population-based Patlak model. Methods We proposed a population-based Patlak model named Patlak-PBNT, which incorporates a population-based “normalized time” (PBNT) into the traditional Patlak plot. This model does not require long-duration PET scans to obtain an image-derived input function (IDIF) of full measured kinetics, thereby generating reliable Ki images from short-duration total-body PET scans. We evaluated the effectiveness of Patlak-PBNT based on 60-minute full-dynamic total-body [68Ga]Ga-PSMA-11 PET data collected from 20 subjects PET scans. For comparison, the Ki images generated by the traditional Patlak plot (t* = 20 min post-injection) with measured IDIF was used as the gold standard. The differences between Patlak-PBNT-generated Ki images and the gold standard were evaluated at both the voxel and volume of interest (VOI) levels. Results Compared to the traditional Patlak, Patlak-PBNT effectively reduces PET scan duration while maintaining the quality of generated Ki images. For [68Ga]Ga-PSMA-11, Ki images generated by Patlak-PBNT using only 40 minute dynamic PET images (20–60 min post-injection) show negligible differences compared to those generated by traditional Patlak with the same 40 minute dynamic PET images and a 60 minute full-duration IDIF, with a normalized mean squared error (NMSE) of 0.01, a Pearson correlation coefficient (Pearson’s r) of 0.99, and a peak signal-to-noise ratio (PSNR) of 75.27 dB. It is important to note that Ki images generated by Patlak-PBNT, using only 20 minute dynamic PET images (40–60 min post-injection), exhibit a high correlation with the gold standard in predefined VOIs, achieving a coefficient of determination (R2) of 0.92. Conclusion The proposed Patlak-PBNT model reduces the dependency on a complete input function, thereby avoiding the need for long-duration PET scans typically required to obtain a full input function. When utilizing dynamic PET images of identical scan durations (20–60 min post-injection), the Ki images generated by Patlak-PBNT and traditional Patlak are essentially identical. Furthermore, even when the scan duration is further reduced, the Patlak-PBNT method is capable of quantifying 20 minute dynamic [68Ga]Ga-PSMA-11 total-body PET images. Graphical abstract Supplementary Information The online version contains supplementary material available at 10.1186/s40658-026-00840-0.
Citation format
LI, Lianghua, et al. Patlak-pbnt: A simple population-based patlak model to generate [68ga]ga-psma-11 ki parametric images for shortened total-body PET scan. EJNMMI Physics, 2026, 13(1).