Fast 4D-PET parametric imaging computation at the whole field of view level: Reliability under simulated conditions of PET KinetiX, a dedicated software solution
PET KinetiX currently generates K<sub>i</sub> and v<sub>b</sub> parametric maps that are qualitatively comparable to unprocessed SUV data, with improved CNR in most cases. The 2TCM k₃ parametric maps for tumor structures exhibited the highest CNR enhancement, warranting further evaluation across different anatomical regions and radiotracer applications.
Authors
- Claude Comtat (ORCID: https://orcid.org/0000-0003-4691-7001)
- Sylvain Faure (ORCID: https://orcid.org/0000-0002-4069-0523)
- Florent L. Besson (ORCID: https://orcid.org/0000-0002-9826-3890)
- A. Paillet
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Université Paris-Saclay (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Centre Inria de Saclay (FR)
- CEA Paris-Saclay (FR)
- Bicêtre Hospital (FR)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1007/s00259-025-07285-0
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Université Paris-Saclay