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Purpose <p>The objective of this study is to generate reliable K<sub>i</sub> parametric images from short-duration total-body PET scan for clinical applications using a simple population-based Patlak model.</p> Methods <p>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 K<sub>i</sub> images from short-duration total-body PET scans. We evaluated the effectiveness of Patlak-PBNT based on 60-minute full-dynamic total-body [<sup>68</sup>Ga]Ga-PSMA-11 PET data collected from 20 subjects PET scans. For comparison, the K<sub>i</sub> images generated by the traditional Patlak plot (t* = 20&#xa0;min post-injection) with measured IDIF was used as the gold standard. The differences between Patlak-PBNT-generated K<sub>i</sub> images and the gold standard were evaluated at both the voxel and volume of interest (VOI) levels.</p> Results <p>Compared to the traditional Patlak, Patlak-PBNT effectively reduces PET scan duration while maintaining the quality of generated K<sub>i</sub> images. For [<sup>68</sup>Ga]Ga-PSMA-11, K<sub>i</sub> images generated by Patlak-PBNT using only 40 minute dynamic PET images (20–60&#xa0;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 K<sub>i</sub> images generated by Patlak-PBNT, using only 20 minute dynamic PET images (40–60&#xa0;min post-injection), exhibit a high correlation with the gold standard in predefined VOIs, achieving a coefficient of determination (R<sup>2</sup>) of 0.92.</p> Conclusion <p>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&#xa0;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.</p> Graphical abstract <p></p>

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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

  • 期刊论文

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  • 发表日期：

    2026年2月14日

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  • Lianghua Li,
  • Wenjian Gu,
  • Wentong Yang,
  • Weijun Wei,
  • Jianjun Liu,
  • Gang Huang,
  • Junbo Ge,
  • Gongning Luo,
  • Shiming Xu,
  • Yun Zhou

摘要

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