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The Brain Imaging Data Structure (Gorgolewski et al., 2016) is a standard for organizing and naming neuroimaging data, which has quickly become successful and popular in the community with adoption by brain imaging repositories (e.g., OpenNeuro (Markiewicz et al., 2021), PublicnEUro (Public nEUro, 2023)), data management tools (e.g., COINS (Landis et al., 2016), XNAT (Marcus et al., 2007)) and computational platforms (e.g. BrainLife (Hayashi S, 2023)). BIDS allows data to be shared much more efficiently, enables the development of automated data analysis pipelines, and improves reproducibility. The BIDS extension for Positron Emission Tomography (PET-BIDS) (Norgaard et al., 2022) provides nomenclature for structured data and metadata, including all the necessary information to share and report on PET blood and metabolite (Knudsen et al., 2020). Here we present a code library, developed in both Matlab and Python, allowing the conversion of DICOM (DICOM PS3.3 2020b - Information Object Definitions, 2020) and ECAT (CTI/Siemens proprietary data format) PET imaging data and metadata (e.g., timing information such as ‘time zero’ or blood measurements) into files that follow the BIDS specification (nifti, json, tsv).
Galassi et al. (2024) studied this question.