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  3. ORMIR-MIDS: an open standard for curating and sharing musculoskeletal imaging data.

ORMIR-MIDS: an open standard for curating and sharing musculoskeletal imaging data.

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DOI
10.48620/94816
Publisher DOI
10.1093/jbmrpl/ziag013
PubMed ID
41704478
Abstract
Quantitative imaging is increasingly used for both clinical and research applications in musculoskeletal (MSK) disorders. Its widespread use, coupled with an assortment of modalities and vendors, has led to a diverse range of analysis methods and challenges in reproducing results both within and across centers. Clearly, consensus is needed to establish consistent data organization principles and thus permit the use of standardized image processing pipelines. Here, we-members of the Open and Reproducible Musculoskeletal Imaging Research (ORMIR) community-introduce the ORMIR-MIDS data format, which is derived from the existing Brain and Medical Imaging Data Structures (BIDS and MIDS) and extends them to MSK applications. ORMIR-MIDS comprises both a standard specification and a set of software tools for data conversion and organization. The latter permits the conversion of image data to a standardized format, in an organized folder structure, and produces up to 3 metadata files: important data-processing information, patient data, and complete image header tags to allow conversion back to the original format. The tool currently supports a range of imaging modalities and sub-modalities relevant to the MSK system, with more to come in the future. A suite of test data is also provided to demonstrate the functionality of the software, and the file system structure and associated image files and metadata after conversion of these test data are demonstrated here. With ORMIR-MIDS, we provide an open specification for multimodal MSK imaging, alongside tools for creating compliant datasets. Adherence to our standard will improve harmonization of imaging data across vendors and institutions and permit the development of reproducible processing pipelines and data repositories for MSK research.
Date Issued
2026-03
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Subjects
CT
•
MRI
•
data curation
•
digital radiography
•
medical image processing
•
musculoskeletal system
•
open source software
•
standards
Language(s)
en
Author(s)
Santini, Francesco
Monzon, Maria
Poncioni, Simone  
ARTORG Center - Biomechanics  
ARTORG Center for Biomedical Engineering Research  
Bonaretti, Serena  
Hirvasniemi, Jukka
Froeling, Martijn
Cameron, Donnie
Additional Credits
ARTORG Center for Biomedical Engineering Research  
ARTORG Center - Biomechanics  
Journal
JBMR Plus
Publisher
Oxford University Press
ISSN
2473-4039
Access(Rights)
Unknown
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