Patlak-PBNT: a simple population-based Patlak model to generate [68Ga]Ga-PSMA-11 Ki parametric images for shortened total-body PET scan

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 K<sub>i</sub> 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 [<sup>68</sup>Ga]Ga-PSMA-11 total-body PET images.

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Publication Details

Journal
EJNMMI Physics
Published
2026-02-14
DOI
https://doi.org/10.1186/s40658-026-00840-0
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Patlak-PBNT: a simple population-based Patlak model to generate [68Ga]Ga-PSMA-11 Ki parametric images for shortened total-body PET scan

Wei Gu, Shiming XU, Wentong Yang, Yun Zhou et al.
EJNMMI Physics
Medical Imaging Techniques and Applications
article

Patlak-PBNT: a simple population-based Patlak model to generate [68Ga]Ga-PSMA-11 Ki parametric images for shortened total-body PET scan

Wei Gu, Shiming XU, Wentong Yang, Yun Zhou, Junbo Ge, Lianghua Li, Weijun Wei, Gongning Luo, Gang Huang, Jianjun Liu
article en

Abstract

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 K<sub>i</sub> 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 [<sup>68</sup>Ga]Ga-PSMA-11 total-body PET images.

EJNMMI PhysicsVol. 13(1)
University of Shanghai for Science and Technology (CN), Harbin Institute of Technology (CN), Renji Hospital (CN), ShanghaiTech University (CN), United Imaging Healthcare (China) (CN), Shanghai University of Medicine and Health Sciences (CN)
Openalex Percentile: Top 55%
Medical Imaging Techniques and Applications
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Patlak-PBNT: a simple population-based Patlak model to generate [68Ga]Ga-PSMA-11 Ki parametric images for shortened total-body PET scan — Wei Gu, Shiming XU, et al. · EJNMMI Physics (2026) | TGRS Research Map | TGRS