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The Cancer Imaging Archive (TCIA) staff has accumulated a wealth of knowledge on best practices and procedures for DICOM image de-identification in the process of maintaining our archive. In order to share this information with the wider research community we are maintaining the following knowledge base. This is a living document and will continue to be updated as we learn from our experiences. If you have feedback or questions please contact us at feedback@cancerimagingarchive.net.

Background Information

Here are some presentations and papers which provide an overview on various aspects of DICOM de-identification:

  1. Image Data Sharing for Biomedical Research: Meeting the De-identification and Informatics Challenges publication, Journal of Digital Imaging (DOI: 10.1007/s10278-011-9422-x)
  2. Image Data Sharing for Biomedical Research: Meeting the De-identification and Informatics Challenges presentation, SIIM Annual Meeting, Washington, D.C., June 4, 2011
  3. De-identification Revisited - DICOM Supplement 142 presentation, DICOM Conference 2010
  4. Automated Standards-based Anonymization Profile for Image Sharing Using RSNA's Clinical Trial Processor poster with Q&A session, RSNA Annual Meeting, Chicago, IL, Nov 30, 2009

DICOM Private Data Elements

It is desirable to retain DICOM private data elements that contain parameters describing the acquisition while removing elements containing PHI. Performing this task requires understanding the mechanism defined by DICOM to support private elements. DICOM PS 3.5, section 7.8.1 states:

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