The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.
Krzysztof J GorgolewskiTibor AuerVince D CalhounR Cameron CraddockSamir DasEugene P DuffGuillaume FlandinSatrajit S GhoshTristan GlatardYaroslav O HalchenkoDaniel A HandwerkerMichael HankeDavid KeatorXiangrui LiZachary MichaelCamille MaumetB Nolan NicholsThomas E NicholsJohn PellmanJean-Baptiste PolineAriel RokemGunnar SchaeferVanessa V SochatWilliam TriplettJessica A TurnerGaël VaroquauxRussell A PoldrackPublished in: Scientific data (2016)
The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain. Despite the fact that MRI is routinely used to obtain data for neuroscience research, there has been no widely adopted standard for organizing and describing the data collected in an imaging experiment. This renders sharing and reusing data (within or between labs) difficult if not impossible and unnecessarily complicates the application of automatic pipelines and quality assurance protocols. To solve this problem, we have developed the Brain Imaging Data Structure (BIDS), a standard for organizing and describing MRI datasets. The BIDS standard uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations.
Keyphrases
- magnetic resonance imaging
- diffusion weighted imaging
- contrast enhanced
- electronic health record
- big data
- high resolution
- computed tomography
- white matter
- healthcare
- resting state
- primary care
- artificial intelligence
- brain injury
- magnetic resonance
- social media
- multiple sclerosis
- fluorescence imaging
- photodynamic therapy
- blood brain barrier