{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Salvador-Ribes C"],"funding":["Instituto de Salud Carlos III"],"pagination":["35"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11977063"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(1)"],"pubmed_abstract":["<h4>Background</h4>Patients' diagnosis, treatment and follow-up increasingly rely on multimodality imaging. One of the main limitations for the optimal implementation of hybrid systems in clinical practice is the time and expertise required for applying standardized protocols for equipment quality assurance (QA). Experimental phantoms are commonly used for this purpose, but they are often limited to a single modality and single quality parameter, lacking automated analysis capabilities. In this study, we developed a multimodal 3D-printed phantom and software for QA in positron emission tomography (PET) hybrid systems, with computed tomography (CT) or magnetic resonance (MR), by assessing signal, spatial resolution, radiomic features, co-registration and geometric distortions.<h4>Results</h"],"journal":["EJNMMI physics"],"pubmed_title":["Open-source phantom with dedicated in-house software for image quality assurance in hybrid PET systems."],"pmcid":["PMC11977063"],"funding_grant_id":["CP23/000106","FI23/00097"],"pubmed_authors":["Fechter T","Marti-Bonmati L","Sanchez-Garcia MJ","Carles M","Mix M","Soler-Pons C","Olivas C","Baltas D","Perez-Calatayud J","Salvador-Ribes C","Torres-Espallardo I"],"additional_accession":[]},"is_claimable":false,"name":"Open-source phantom with dedicated in-house software for image quality assurance in hybrid PET systems.","description":"<h4>Background</h4>Patients' diagnosis, treatment and follow-up increasingly rely on multimodality imaging. One of the main limitations for the optimal implementation of hybrid systems in clinical practice is the time and expertise required for applying standardized protocols for equipment quality assurance (QA). Experimental phantoms are commonly used for this purpose, but they are often limited to a single modality and single quality parameter, lacking automated analysis capabilities. In this study, we developed a multimodal 3D-printed phantom and software for QA in positron emission tomography (PET) hybrid systems, with computed tomography (CT) or magnetic resonance (MR), by assessing signal, spatial resolution, radiomic features, co-registration and geometric distortions.<h4>Results</h","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Apr","modification":"2025-07-10T03:08:11.416Z","creation":"2025-07-10T03:08:11.416Z"},"accession":"S-EPMC11977063","cross_references":{"pubmed":["40192938"],"doi":["10.1186/s40658-025-00741-8"]}}