The PREMISE database of 20 Macaca fascicularis PET/MRI brain images available for research.
Lucie ChaletJustine DebatisseOceane WateauTimothe BoutelierMarlène WiartNicolas CostesInés MéridaJérôme RedoutéJean-Baptiste LangloisSophie LancelotChristelle LéonTae-Hee ChoLaura MechtouffOmer Faruk EkerNorbert NighoghossianEmmanuelle Canet-SoulasGuillaume BeckerPublished in: Lab animal (2023)
Non-human primate studies are unique in translational research, especially in neurosciences where neuroimaging approaches are the preferred methods used for cross-species comparative neurosciences. In this regard, neuroimaging database development and sharing are encouraged to increase the number of subjects available to the community, while limiting the number of animals used in research. Here we present a simultaneous positron emission tomography (PET)/magnetic resonance (MR) dataset of 20 Macaca fascicularis images structured according to the Brain Imaging Data Structure standards. This database contains multiple MR imaging sequences (anatomical, diffusion and perfusion imaging notably), as well as PET perfusion and inflammation imaging using respectively [ 15 O]H 2 O and [ 11 C]PK11195 radiotracers. We describe the pipeline method to assemble baseline data from various cohorts and qualitatively assess all the data using signal-to-noise and contrast-to-noise ratios as well as the median of intensity and the pseudo-noise-equivalent-count rate (dynamic and at maximum) for PET data. Our study provides a detailed example for quality control integration in preclinical and translational PET/MR studies with the aim of increasing reproducibility. The PREMISE database is stored and available through the PRIME-DE consortium repository.
Keyphrases
- positron emission tomography
- contrast enhanced
- computed tomography
- magnetic resonance
- pet ct
- pet imaging
- magnetic resonance imaging
- electronic health record
- high resolution
- big data
- quality control
- air pollution
- diffusion weighted imaging
- adverse drug
- white matter
- oxidative stress
- convolutional neural network
- healthcare
- endothelial cells
- mental health
- data analysis
- photodynamic therapy
- stem cells
- high intensity
- optical coherence tomography
- machine learning
- bone marrow
- mesenchymal stem cells
- subarachnoid hemorrhage
- artificial intelligence
- case control
- health information
- fluorescence imaging
- pluripotent stem cells