Abstract
Kinetic modeling represents the ultimate foundations of PET quantitative imaging, a unique opportunity to better characterize the diseases or prevent the reduction of drugs development. Primarily designed for research, parametric imaging based on PET kinetic modeling may become a reality in future clinical practice, enhanced by the technical abilities of the latest generation of commercially available PET systems. In the era of precision medicine, such paradigm shift should be promoted, regardless of the PET system. In order to anticipate and stimulate this emerging clinical paradigm shift, we developed a constructor-independent software package, called PET KinetiX, allowing a faster and easier computation of parametric images from any 4D PET DICOM series, at the whole field of view level. The PET KinetiX package is currently a plug-in for Osirix DICOM viewer. The package provides a suite of five PET kinetic models: Patlak, Logan, 1-tissue compartment model, 2-tissue compartment model, and first pass blood flow. After uploading the 4D-PET DICOM series into Osirix, the image processing requires very few steps: the choice of the kinetic model and the definition of an input function. After a 2-min process, the PET parametric and error maps of the chosen model are automatically estimated voxel-wise and written in DICOM format. The software benefits from the graphical user interface of Osirix, making it user-friendly. Compared to PMOD-PKIN (version 4.4) on twelve 18F-FDG PET dynamic datasets, PET KinetiX provided an absolute bias of 0.1% (0.05–0.25) and 5.8% (3.3–12.3) for KiPatlak and Ki2TCM, respectively. Several clinical research illustrative cases acquired on different hybrid PET systems (standard or extended axial fields of view, PET/CT, and PET/MRI), with different acquisition schemes (single-bed single-pass or multi-bed multipass), are also provided. PET KinetiX is a very fast and efficient independent research software that helps molecular imaging users easily and quickly produce 3D PET parametric images from any reconstructed 4D-PET data acquired on standard or large PET systems.
Data Availability
The data that support the findings of this study are available from the corresponding author, [F.L.Besson], upon reasonable request.
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Acknowledgements
The authors would like to particularly thank Cécile Maréchal (INSMI), Redouane Bouchaala and Nahed Sakly (CNRS innovation, Prématuration), Tamara Silvain and Louis Romand (CNRS innovation, RISE), and Vincent Lebon (BioMAps) for their support and Jane Brégier-John for her help in improving the English of the manuscript.
Funding
This research was funded by the French National Centre for Scientific Research (Programme Prématuration CNRS Innovation, 2022–2023) and supported by Institut National des sciences Mathématiques et de leurs interactions (INSMI) and laboratoire d’imagerie Multimodale Paris Saclay (BIOMAPS).
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Besson, F.L., Faure, S. PET KinetiX—A Software Solution for PET Parametric Imaging at the Whole Field of View Level. J Digit Imaging. Inform. med. 37, 842–850 (2024). https://doi.org/10.1007/s10278-023-00965-z
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DOI: https://doi.org/10.1007/s10278-023-00965-z