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This is the home page for the Medical Imaging De-Identification (MIDI) project.

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Goal


Drive consensus, provide guidance, and promote best practices for medical image de-identification for various imaging informatics applications in academic and industrial research.

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  • Goal: To develop conventions, guidance, and Best Practices for image de-ID for imaging informatics applications in cancer diagnosis and therapy (i.e., radiotherapy)
  • Potential members: To be determined, but will likely include members from NCI (CBIIT, CIP), TCIA, IDC, Deloitte Consulting, industry (e.g., Google Health, Amazon Web Services, PixelMed, etc.), non-profits, including the American College of Radiology (ACR), the Radiological Society of North America (RSNA), the Society for Imaging Informatics in Medicine (SiiM), the American Association of Physicists in Medicine (AAPM), and the American Society for Therapeutic Radiation Oncology (ASTRO), NIBIB, NHLBI, and FDA
  • Project period: July 2020 – June 2022
  • Funding source: volunteer effort. Periodic Working Group meetings will be done online and possibly in-person once a year at a member society’s annual meeting.
  • Current status: NCI, IDC, TCIA, PixelMed, and ACR have expressed interest in formation of a working group (or forum) to address image de-ID methods. It may be an effective approach to initiate the working group upon initiation of Project 1, and possibly the NCI-ACR MOU for collaboration.

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