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Supporting Institution(s) | Cancer Imaging Program | Cancer Imaging Program, caBIG | NIAMS, caBIG | WUSTL, BIRN | Lab of NeuroImaging UCLA (LONI) | BIRN | BIRN | Lung Cancer Alliance, Kitware | Optical Society of America, Kitware | NIH, NDAR | Kitware | NIH |
Content Type | In Vivo Cancer Imaging (see full Collection list) | In Vivo Cancer Imaging (see full collection list) | Osteoarthritis | Biomedical images and meta data | ADNI (Alzheimers), | Brain scans | ELUDE (Elderly Depression), | Patient-contributed Medical scans | Optical | Normal brain development | Biomedical images and meta data | Autism - standard phenotypic data, imaging and genomic/pedigree data related to human subjects |
Archive Software | Image Data Archive | custom | custom |
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Login account required | Yes. Accounts are free and available to anyone. | For advanced site features or limited access data sets, but is not required for accessing public data | Yes | For accessing limited access data sets, but not for public data | Yes, via email address. Used only for providing links for downloading data. |
| For accessing limited access data sets, but not for public data | No | For accessing limited access data sets, but not for public data | Yes | For accessing limited access data sets, but not for public data |
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Explicit data sharing policy | Yes, with options for uploading fully open or limited access data sets | Yes, with options for uploading fully open or limited access data sets | Yes, found here | No |
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Number of Registered Users (or NA) | 764 1255 |
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Accepting new data | Yes (learn more) | Yes, with approval from NCI CBIIT/CIP |
| Yes, users can register accounts and upload data |
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| Yes, through Lung Cancer Alliance | Yes, through the Optical Society of America |
| Yes, users can register accounts and upload data |
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Central curation/review | Yes, a trained staff visually inspects every image before making them visible | Yes, performed by CBIIT staff |
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| Yes, performed by Lung Cancer Alliance | Yes, performed by the Optical Society of America |
| Yes, performed by Kitware staff and peer reviews |
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Availability/Uptime | ~99%, hosted on a redundant production system at WUSTL | ~99%, hosted on a redundant production system at NCI CBIIT |
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| ~99%, hosted on a production server at Kitware | ~99.9%, hosted on a production server at OSA |
| ~99%, hosted on a production server at Kitware |
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Project- or Collection- based groupings? | Yes | Yes | Yes | Yes |
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| Yes | Yes | Yes |
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Size of Current Volume | 7.3T | ~2TB | ~7.5TB |
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| ~2GB | ~50GB |
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Number of cases patients/subjects with imaging | ~30,000 |
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number of DICOM Tags query-able | ~90 | ~90 | ~90 |
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Data submission/download methods | Submission via DICOM or HTTPS protocols using CTP. Download via Java Webstart client | Submission via DICOM or HTTPS protocols using CTP. Download via Web (zip), FTP, Java Webstart client | Submission via DICOM or HTTPS protocols. Download via Web (zip), FTP, Java Webstart client | Submission via Web UI or DICOM protocol. Download via Web (zip) or Java applet. |
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| Submission via Web UI, | Submission via Web UI, |
| Submission via Web UI, DICOM push, MIDASDesktop, WebDAV. |
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Helpdesk Support | Yes, the TCIA Helpesk supports both end users and submitters |
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Affiliation with Journal | No | No | No | No |
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| Yes |
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Intended Audience(s) | Cancer researchers, engineers and developers, professors |
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caBIG
NBIA
- 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 3 major nodes hosted 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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Below is a list of image archive solutions that can be deployed by interested parties wishing to build their own DICOM based biomedical image archive. This list omits some of the archives above in cases where we could not find any information about how one might download and deploy their own instance of the software.
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Interface/GUI | Web | Web | Web/Desktop Application |
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Query types/flexibility | Simple (9 parameters), Advanced (10 more parameters), Dynamic (boolean query of up to 90 DICOM tags) | Limited subset of DICOM tags out of the box but is highly configurable for adding the ability to query on just about any kind of meta data you wish to provide | Customizable, search by any tags registered in the system |
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Role Based Security | Yes | Yes | Yes |
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Public access option (no login req) | Yes | Yes | Yes |
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Active Development | Yes, NCI CBIIT | Yes, WUSTL Neuroinformatics Research Group | Yes, Kitware |
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License | Open source - NBIA License Agreement Details Open source - | XNAT License Non-restrictive (BSD) open-source license - XNAT License Agreement Details | non-restrictive (BSD) open-source license |
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Supports Federated Implementation | Yes, can discover other nodes on the caGrid | Not currently, but there are plans to add this functionality eventually | No |
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API available | Yes, caGrid | Yes, ?RESTFUL web services? REST | Yes, REST, OAI-PMH |
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Supported image formats | DICOM | Automated import of DICOM and ECAT. Custom importers can be implemented for other formats. Any file type can be uploaded through the API and web interface. | DICOM and other ITK-based format |
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Supported metadata formats | XML, Zip | XML | XML |
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Transfer protocols (import/export) | DICOM, HTTPS | DICOM, HTTPS | DICOM, HTTPS, DICOM |
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Controlled Vocabulary | Follows caBIG standards (caDSR/EVS) | XNAT Schema | NIH Mesh and Dublin Core |
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Deployment Support | Yes, CBIIT Application Support or via NBIA User Listserv | XNAT Google Discussion group, monthly developer tcons, biannual user conference | Yes, MIDAS mailing list |
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Support Operating Systems | Linux, Windows, Mac, Windows | Linux, Windows, Mac | Linux, Windows, Mac |
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Data submission options | Submission to NBIA is performed by a java tool called CTP developed out of by John Perry at the RSNA. CTP has options to import data from HDD a hard drive or directly from a PACS or DICOM Workstation. | Direct upload is available through the web UI, direct DICOM transfer, or one could utilize the DICOM Browser java tool. scripts using REST API. | Direct upload via web UI, direct DICOM transfer via push, MIDASDesktop transfer (includes command line tools), WebDAV support. |
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Standard of De-Identification | Incorporates S142 standards via CTP profiles DICOM de-identification standards from The Attribute Confidentiality Profile (DICOM PS 3.15: Appendix E) via CTP. | Built-in de-identification language based on DICOM Browser can be configured to comply with DICOM PS 3.15: Appendix E and other standards. No, but scripts based on standards could be written for DICOM Browser if desired | No, but pre-storage filters can be run automatically |
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Support for multi-site submissions | Yes | Yes | Yes |
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NBIA
https://gforge.nci.nih.gov/frs/?group_id=312
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