DOIs for DICOM Raw Images: Enabling Science Reproducibility
2015; Radiological Society of North America; Volume: 275; Issue: 1 Linguagem: Inglês
10.1148/radiol.15150144
ISSN1527-1315
Autores Tópico(s)Radiomics and Machine Learning in Medical Imaging
ResumoHomeRadiologyVol. 275, No. 1 PreviousNext Special CommunicationsEditorialDOIs for DICOM Raw Images: Enabling Science ReproducibilityPhilip E. BournePhilip E. BourneAuthor AffiliationsFrom the Office of the Director, the National Institutes of Health, 1 Center Dr, Building 1, Room 228, Bethesda, MD 20892.Address correspondence to the author.Philip E. BournePublished Online:Mar 23 2015https://doi.org/10.1148/radiol.15150144MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In AbstractBy being a front-runner, the imaging community has everything to gain, because original DICOM raw data exposure to the wider science audience is likely to speed standardized image acquisition as well as engender greater confidence in the clinical imaging literature.References1. Begley CG, Ellis LM. Drug Development: raise standards for preclinical cancer research. Nature 2012 Mar 28;483(7391):531–533. PubMed doi: 10.1038/483531a. 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Glioblastoma: imaging genomic mapping reveals sex-specific oncogenic associations of cell death. Radiology 2015;275(1):215–227. Link, Google Scholar9. NIH Names Dr. Philip E. Bourne First Associate Director for Data Science. National Institutes of Health. http://www.nih.gov/news/health/dec2013/od-09.htm. Accessed January 22, 2015. Google Scholar10. NIH Big Data to Knowledge (BD2K). http://bd2k.nih.gov/#sthash.NyXUCU3o.aZnNoIu5.dpbs. Accessed January 22, 2015. Google Scholar11. The Cancer Genome Atlas. National Cancer Institute. http://cancergenome.nih.gov/. Accessed January 22, 2015. Google Scholar12. Cancer Imaging Archive. http://www.cancerimagingarchive.net/. Accessed January 22, 2015. Google Scholar13. Cancer Digital Slide Archive. http://cancer.digitalslidearchive.net/. Accessed January 22, 2015. Google Scholar14. TCIA Digital Object Identifiers. Cancer Imaging Archive. https://wiki.cancerimagingarchive.net/display/DOI/TCIA+Digital+Object+Identifiers. Accessed January 22, 2015. Google ScholarArticle HistoryReceived January 19, 2015; revision requested January 19; revision received January 24; final version accepted January 26.Published online: Mar 23 2015Published in print: Apr 2015 FiguresReferencesRelatedDetailsCited ByThe role of metadata in reproducible computational researchJeremyLeipzig, DanielNüst, Charles TapleyHoyt, KarthikRam, JaneGreenberg2021 | Patterns, Vol. 2, No. 9Scientific Notebook Software: Applications for Academic RadiologyMichael L.Richardson, BehrangAmini2018 | Current Problems in Diagnostic Radiology, Vol. 47, No. 6The public cancer radiology imaging collections of The Cancer Imaging ArchiveFredPrior, KirkSmith, AshishSharma, JustinKirby, LawrenceTarbox, KenClark, WilliamBennett, TracyNolan, JohnFreymann2017 | Scientific Data, Vol. 4, No. 1Guest Editorial: LUNGx Challenge for computerized lung nodule classification: reflections and lessons learnedSamuel G.Armato, LubomirHadjiiski, Georgia D.Tourassi, KarenDrukker, Maryellen L.Giger, FengLi, GeorgeRedmond, KeyvanFarahani, Justin S.Kirby, Laurence P.Clarke2015 | Journal of Medical Imaging, Vol. 2, No. 2Recommended Articles National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial IntelligenceRadioGraphics2023Volume: 43Issue: 12Integrating Al Algorithms into the Clinical WorkflowRadiology: Artificial Intelligence2021Volume: 3Issue: 6Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis CompetitionsRadiology: Artificial Intelligence2019Volume: 1Issue: 1The Diagnostic Value of MR Imaging in Determining the Lymph Node Status of Patients with Non–Small Cell Lung Cancer: A Meta-AnalysisRadiology2016Volume: 281Issue: 1pp. 86-98Milestones in CT: Past, Present, and FutureRadiology2023Volume: 309Issue: 1See More RSNA Education Exhibits 3D Printing from Medical Imaging Data: What the Resident Needs to KnowDigital Posters2022Certifications, Audits, And National Benchmarks: Breaking Down The Basics For The New Mammography AttendingDigital Posters2021Stand and Deliver: Weight-Bearing Extremity CT in Clinical PracticeDigital Posters2022 RSNA Case Collection Carotid WebRSNA Case Collection2020 Post vaccination axillary adenopathyRSNA Case Collection2021Dorsal Trapezoid DislocationRSNA Case Collection2021 Vol. 275, No. 1 Metrics Altmetric Score PDF download
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