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  • Open source, federated model for grid based image sharing.
  • Allows for "nodes" to be deployed in other institutions, which can then be connected via the grid so they are query-able from any NBIA server.
  • Includes both public data access without login as well as option to build secure role-based Collections which require special access via logging in
  • Simple search query options include node selection, modality, contrast enhancement, anatomical site, image slice thickness, Collections (pre-defined sets of related images), the date the images were made available, and whether or not they have associated annotations
  • Advanced and Dynamic search options available to search upwards of 70 additional DICOM tag attributes
  • Images can be viewed on the web site via JPG thumbnails or using the Cine functionality
  • Allows for storage of annotation files and meta data, though there are plans to move most of this functionality to AIM data services in the near future
  • Downloads are provided in 3 formats, either via a Java webstart client (no size requirement issues, images are not zipped) or HTTP (zipped, for downloads <3GB in size) or an emailed link to an FTP site (zipped, for downloads >3GB in size)
  • Currently 2 3 major nodes hosted at NCI, one for CIP/CBIIT and another for NIAMS. available to the public:
    • The Cancer Imaging Archive (TCIA)
      • http://cancerimagingarchive.net
      • Funded by the Cancer Imaging Program within the Division of Cancer Treatment and Diagnosis, this NBIA installation is being hosted by Washington University in St. Louis
      • Publicly launched in June, 2011 with 3 purpose-built Collections (see full Collection list)
      • Approximately 230GB of image data on over 1,200 patients (in publicly accessible Collections) as of July 2011
      • TCIA provides full curation support staff to review all incoming data to ensure proper de-identification by utilizing the newly released DICOM Supplement 142 standard for preventing distribution of PHI or overly aggressive methods which render data useless to researchers
    • CIP/CBIIT
      • http://imaging.nci.nih.gov
      • Contains ~25 purpose built image collections, ~15 of which are publicly accessible to anyone - more info on the contents of each collection can be found at https://wiki.nci.nih.gov/x/lRWy
      • Collections range in size from as small as a handful of patients up to larger collections such as LIDC-IDRI (1010 patients) or the colonoscopy collections (over 800 patients each)
      • Approximately 2 TB of image data consisting of nearly 3,000 patients (in publicly accessible Collections) as of July 2011
    • NIAMS

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