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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
- https://niams-imaging.nci.nih.gov/
- Contains approximately 7.5TB of image data on nearly 5,000 osteoarthritis patients as of July 2011
- Modalities include MRI and CR
- The Cancer Imaging Archive (TCIA)
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