The R package for DICOM to brain imaging data structure conversion.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
04 10 2023
04 10 2023
Historique:
received:
03
02
2023
accepted:
21
09
2023
medline:
6
10
2023
pubmed:
5
10
2023
entrez:
4
10
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37794076
doi: 10.1038/s41597-023-02583-4
pii: 10.1038/s41597-023-02583-4
pmc: PMC10551001
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
673Subventions
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01ER0816
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01ER1205
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01ER1506
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01ER0816
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01ER1205
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01ER1506
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01ER0816
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01ER1205
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01ER1506
Informations de copyright
© 2023. Springer Nature Limited.
Références
BMC Psychiatry. 2014 Jun 13;14:174
pubmed: 24924233
J Neurosci Methods. 2016 May 1;264:47-56
pubmed: 26945974
Eur Radiol. 2017 Jan;27(1):231-238
pubmed: 27059857
Nat Methods. 2019 Jan;16(1):111-116
pubmed: 30532080
PLoS Comput Biol. 2017 Mar 9;13(3):e1005209
pubmed: 28278228
Sci Data. 2016 Jun 21;3:160044
pubmed: 27326542
PLoS One. 2017 Sep 25;12(9):e0184661
pubmed: 28945803
J Digit Imaging. 2004 Sep;17(3):205-16
pubmed: 15534753
Front Neuroinform. 2022 Jan 13;15:770608
pubmed: 35095452