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The R package for DICOM to brain imaging data structure conversion
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 Te...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551001/ https://www.ncbi.nlm.nih.gov/pubmed/37794076 http://dx.doi.org/10.1038/s41597-023-02583-4 |
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author | Wulms, Niklas Eppe, Sven Dehghan-Nayyeri, Mahboobeh Streeter, Adam J. Bonberg, Nadine Berger, Klaus Sundermann, Benedikt Minnerup, Heike |
author_facet | Wulms, Niklas Eppe, Sven Dehghan-Nayyeri, Mahboobeh Streeter, Adam J. Bonberg, Nadine Berger, Klaus Sundermann, Benedikt Minnerup, Heike |
author_sort | Wulms, Niklas |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10551001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105510012023-10-06 The R package for DICOM to brain imaging data structure conversion Wulms, Niklas Eppe, Sven Dehghan-Nayyeri, Mahboobeh Streeter, Adam J. Bonberg, Nadine Berger, Klaus Sundermann, Benedikt Minnerup, Heike Sci Data Article 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. Nature Publishing Group UK 2023-10-04 /pmc/articles/PMC10551001/ /pubmed/37794076 http://dx.doi.org/10.1038/s41597-023-02583-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wulms, Niklas Eppe, Sven Dehghan-Nayyeri, Mahboobeh Streeter, Adam J. Bonberg, Nadine Berger, Klaus Sundermann, Benedikt Minnerup, Heike The R package for DICOM to brain imaging data structure conversion |
title | The R package for DICOM to brain imaging data structure conversion |
title_full | The R package for DICOM to brain imaging data structure conversion |
title_fullStr | The R package for DICOM to brain imaging data structure conversion |
title_full_unstemmed | The R package for DICOM to brain imaging data structure conversion |
title_short | The R package for DICOM to brain imaging data structure conversion |
title_sort | r package for dicom to brain imaging data structure conversion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551001/ https://www.ncbi.nlm.nih.gov/pubmed/37794076 http://dx.doi.org/10.1038/s41597-023-02583-4 |
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