The R package for DICOM to brain imaging data structure conversion.
Niklas WulmsSven EppeMahboobeh Dehghan-NayyeriAdam J StreeterNadine BonbergKlaus BergerBenedikt SundermannHeike MinnerupPublished in: Scientific data (2023)
The BIDSconvertR package is the first R-based tool for organizing magnetic resonance imaging (MRI) research data in accordance with the Brain Imaging Data Structure (BIDS) specification. Key features are the DICOM (Digital Imaging and Communications in Medicine) to NIfTI (Neuroimaging Informatics Technology Initiative) and NIfTI to BIDS conversion, the implementation of the BIDS Validator and a MRI data viewer to efficiently manage MRI neuroimaging data sets. The BIDSconvertR offers an interactive user dialogue and a graphical user interface. BIDS validation is facilitated by color-coding of the BIDS sequence-IDs. Data cleaning is simplified by the option of using regular expressions. The BIDSconvertR contributes to the growing efforts to improve reproducibility in neuroimaging research by facilitating researchers to share and organize data in a standardized and transparent manner.
Keyphrases
- electronic health record
- magnetic resonance imaging
- big data
- high resolution
- primary care
- healthcare
- computed tomography
- machine learning
- magnetic resonance
- deep learning
- diffusion weighted imaging
- white matter
- resting state
- photodynamic therapy
- blood brain barrier
- subarachnoid hemorrhage
- functional connectivity
- clinical evaluation