Assessing non-invasive quantitative methods for [18F]SynVesT-1 PET imaging of synaptic vesicle glycoprotein 2A in the rat brain
These findings validate kinetic modelling methods for [<sup>18</sup>F]SynVesT-1 PET, enabling their application in further rat studies for preclinical neuroscience research and prove that image-derived input functions are reliable non-invasive alternatives to AIF.
Authors
- Alan Miranda (ORCID: https://orcid.org/0000-0002-5381-015X)
- Daniele Bertoglio (ORCID: https://orcid.org/0000-0003-4205-5432)
- Steven Staelens (ORCID: https://orcid.org/0000-0003-3376-0519)
- Claudia Schrauwen (ORCID: https://orcid.org/0000-0003-1807-6428)
- Lori Berckmans (ORCID: https://orcid.org/0009-0005-9332-5967)
Institutions
- University of Antwerp (BE)
- University of Namur (BE)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1007/s00259-025-07170-w
- Citations
- 3
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- Wings for Life
- Queen Elisabeth Medical Foundation
- Fonds Wetenschappelijk Onderzoek