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Supporting Institution(s) | 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 | Insight Journal Kitware | |||||
Content Type | In Vivo Cancer Imaging | 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 | |||||
Archive Software | Image Data Archive | custom | custom | ||||||||||||
Login account required | 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 | |||||
Explicit data sharing policy | Yes, with options for uploading fully open or limited access data sets | Yes, found here | No |
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Accepting new data | 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 | ||||
Central curation/review | Yes, performed by CBIIT/CIP staff |
| No |
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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 | ||||
Availability/Uptime | ~99%, hosted on a redundant production system at NCI CBIIT |
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| ~99%, hosted on a production server at Kitware | ||||||||
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| ~99.9%, hosted on a production server at OSA | ~99%, hosted on a production server at Kitware | ||||||||||||
Project- or Collection- based groupings? | Yes | Yes | Yes |
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| Yes | Yes | Yes | Yes | ||||||
Size of Current Volume | ~3TB | ~6TB |
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| ~2GB | ~50GB | ~60GB | ||||||
number of DICOM Tags query-able | ~90 | ~90 |
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Data submission/download methods | 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, |
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| Submission via Web UI, DICOM push, MIDASDesktop, WebDAV. | ||||
Helpdesk Support |
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Affiliation with Journal | No | No | No |
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| Yes |
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 2 major nodes hosted at NCI, one for CIP/CBIIT and another for NIAMS.
- 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 2.5 TB of image data as of August 2010
- NIAMS
- https://niams-imaging.nci.nih.gov/
- Contains data on nearly 5,000 osteoarthritis patients as of August 2010
- Modalities include MRI and CR
- CIP/CBIIT
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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 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? | Yes, REST, OAI-PMH |
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Supported image formats | DICOM |
| DICOM and other ITK-based format |
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Supported metadata formats | XML, Zip |
| XML |
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Transfer protocols (import/export) | DICOM, HTTPS |
| HTTPS, DICOM |
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Controlled Vocabulary | Follows caBIG standards (caDSR/EVS) |
| NIH Mesh and Dublin Core |
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Deployment Support | Yes, CBIIT Application Support or via NBIA User Listserv |
| Yes, MIDAS mailing list |
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Support Operating Systems | Linux, Mac, Windows | Linux, Windows | Linux, Windows, Mac |
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Data submission options | Submission to NBIA is performed by a java tool called CTP developed out of RSNA. CTP has options to import data from HDD 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. | 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 | 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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