An open source toolkit for medical imaging de-identification.
Objective: Medical imaging acquired for clinical purposes can have several legitimate secondary uses in research projects and teaching libraries. No commonly accepted solution for anonymising these images exists because the amount of personal data that should be preserved varies case by case. Our ob...
| Publicado en: | European Radiology Vol. 20; no. 8; pp. 1896 - 1905 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104912162&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104912162 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Aug2010 vid: 20 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104912162 51989454 NLM20204640 2010709984 10.1007/s00330-010-1745-3 NLM20204640 104912162 ppf: 1896 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An open source toolkit for medical imaging de-identification. aug: au: González DR Carpenter T van Hemert JI Wardlaw J González, David Rodríguez Carpenter, Trevor van Hemert, Jano I Wardlaw, Joanna affil: National e-Science Centre, School of Informatics, University of Edinburgh, Edinburgh, UK sug: subj: Data Security Privacy and Confidentiality Data Mining Methods Patient Identification Methods Programming Languages Radiology Information Systems Administration Software Great Britain ab: Objective: Medical imaging acquired for clinical purposes can have several legitimate secondary uses in research projects and teaching libraries. No commonly accepted solution for anonymising these images exists because the amount of personal data that should be preserved varies case by case. Our objective is to provide a flexible mechanism for anonymising Digital Imaging and Communications in Medicine (DICOM) data that meets the requirements for deployment in multicentre trials.Methods: We reviewed our current de-identification practices and defined the relevant use cases to extract the requirements for the de-identification process. We then used these requirements in the design and implementation of the toolkit. Finally, we tested the toolkit taking as a reference those requirements, including a multicentre deployment.Results: The toolkit successfully anonymised DICOM data from various sources. Furthermore, it was shown that it could forward anonymous data to remote destinations, remove burned-in annotations, and add tracking information to the header. The toolkit also implements the DICOM standard confidentiality mechanism.Conclusion: A DICOM de-identification toolkit that facilitates the enforcement of privacy policies was developed. It is highly extensible, provides the necessary flexibility to account for different de-identification requirements and has a low adoption barrier for new users. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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