Ontology highlight
ABSTRACT:
SUBMITTER: Nordio G
PROVIDER: S-EPMC10369152 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
Nordio Giovanna G Easmin Rubaida R Giacomel Alessio A Dipasquale Ottavia O Martins Daniel D Williams Steven S Turkheimer Federico F Howes Oliver O Veronese Mattia M Jauhar Sameer S Rogdaki Maria M McCutcheon Robert R Kaar Stephen S Vano Luke L Rutigliano Grazia G Angelescu Ilinca I Borgan Faith F D'Ambrosio Enrico E Dahoun Tarik T Kim Euitae E Kim Seoyoung S Bloomfield Micheal M Egerton Alice A Demjaha Arsime A Bonoldi Ilaria I Nosarti Chiara C Maccabe James J McGuire Philip P Matthews Julian J Talbot Peter S PS
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism 20230407 8
In this study we evaluate the performance of a fully automated analytical framework for FDOPA PET neuroimaging data, and its sensitivity to demographic and experimental variables and processing parameters. An instance of XNAT imaging platform was used to store the King's College London institutional brain FDOPA PET imaging archive, alongside individual demographics and clinical information. By re-engineering the historical Matlab-based scripts for FDOPA PET analysis, a fully automated analysis p ...[more]