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Definition of project
The goal of this project is to create a survey of Publicly Available InVivo Medical Imaging Archives and the underlying software capabilities. It is generally agreed that there is a need for public medical imaging archives to provide the biomedical research community, industry, and academia with access to images that support:
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The purpose of this project is to provide a practical guide for the community which allows them to:
- to assess existing software and instantiations that are appropriate to their research or clinical needs.
Publicly Hosted Biomedical Imaging Archives
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NCI's NBIA node
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NIAMS NBIA
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Central XNAT
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LONI Image Data Archive
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Function BIRN Data Repository
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NIRL Imaging Database
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NDAR
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Give A Scan
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NA-MIC
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Pediatric MRI Data Repository
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EORTC
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MIDAS
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Sponsor(s)
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Cancer Imaging Program, caBIG
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Content Type
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In Vivo Cancer Imaging
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Osteoarthritis
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Alzheimer's Medical Imaging
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Autism Research
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Patient-contributed Medical scans
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- to locate relevant publicly available data for research
We encourage any feedback from the wider community that may help improve this information or correct any misconceptions stated below. The survey is divided into two sections:
- Publicly hosted biomedical imaging archives which are populated with actual data which researchers, teachers, industry, etc may wish to utilize
- Image archive software solutions which one could download and use to host their own DICOM image data sets
Please contact Justin Kirby (kirbyju@mail.nih.gov) or John Freymann (freymanj@mail.nih.gov) with any questions, error reports, updates, additions, etc.
Acknowledgements
We would like to thank the following people for volunteering their time and effort in helping us populate this survey.
- Dan Marcus (WUSTL)
- Brian Hughes (Terpsys)
- Dan Hall (NIH)
- Patrick Reynolds (Kitware)
- Julien Jomier (Kitware)
- Ivo Dinov (UCLA)
- Matthew McAuliffe (NIH)
- David Keator (UCI)
- Christian Haselgrove (NITRC)
Publicly Hosted Biomedical Imaging Archives
The following table attempts to summarize publicly accessible biomedical image archives. This survey originally initiated in August of 2010. Information in the tables are being updated periodically.
NOTE: Due to the large size of this table you may need to use the horizontal scroll bar at the bottom of the table to view some of the archives listed furthest to the right.
| The Cancer Imaging Archive (TCIA)
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| Optical Society of America (OSA)
| Insight Journal (MIDAS)
| Pediatric MRI Data Repository | FITBIR | NITRC-IR
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Supporting Institution(s) | NCI Cancer Imaging Program | NCI Center for Bioinformatics and Information Technology | NIAMS, NCI Center for Bioinformatics and Information Technology | WUSTL, BIRN | Lab of NeuroImaging UCLA (LONI) | FBIRN Institutions | Lung Cancer Alliance, Kitware | Optical Society of America, Kitware | Kitware, Insight Software Consortium | NIH, NIMH, NINDS, NICHD, NIEHS | NIH, NIMH, NICHD, NIDA, NINDS | NINDS, DoD | NIH Blueprint, NIBIB, NINDS, NIMH, NIDA | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Content Type | In Vivo Cancer Imaging, phantom imaging and related metada (see full Collection list) | Demo instance for showing the latest features of NBIA. All data are re-used from The Cancer Imaging Archive. | Osteoarthritis | Biomedical images, meta data, other phenotypic data (behavioral, clinical, etc) | ADNI (Alzheimers), | FMRI/MRI images, behavioral data, and clinical data from schizophrenics and healthy volunteers. Willing to accept data on other neurological disorders.
| Patient-contributed Lung Cancer Medical scans | Optical, digital holography, 2D/3D modalities, etc | Biomedical images, meta data, and journal articles | Autism - standard phenotypic data, imaging and genomic/pedigree data related to human subjects | Normal brain development
| TBI related data: imaging, phenotypic and some genomics; human but expanding to preclinical models | Neuroimages | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Archive Software | NBIA, AIM Data Service (XML image metadata), and a Clinical Data relational database | Image Data Archive | Human Imaging Database (HID) | custom | Same as NDAR (custom) | Biomedical Research Informatics Computing System (BRICS) NIH developed – custom | XNAT | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Login account required | No. Public data is accessible without logging in. Some special restricted-access data sets do require free registration. Register on the TCIA website. | For advanced site features or limited access data sets, but is not required for accessing public data. Click here to register. | For accessing limited access data sets, but not for public data | Yes, via web https://ida.loni.ucla.edu/login.jsp
| No (email requested) | No | For accessing limited access data sets, but not for public data | Only for submitting data. | Yes | Yes | 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, data is made public or restricted as specified by the user who uploads it. | Yes. IDA User Manual.
| All data is made publicly accessible. | All data is made publicly accessible. | Yes, found here
| All data is made publicly accessible (varying licenses) | Yes, found here | Similar to NDAR but there is no explicit policy | Yes, https://fitbir.nih.gov/jsp/about/policy.jsp | No | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Number of Registered Users (or NA) | 6,117 | 2,712 | 46 | ~1,000 | >1,000 | N/A | N/A |
| 2,657 | 60 for data access | ~30 | 15 – just starting | 1976 users as of April, 2015 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Accepting new data | Yes, proposals are accepted via email and reviewed monthly by the TCIA Advisory Committee. Acceptance criteria is summarized here: Requesting Permission to Upload your Data
| No | More data is being added as part of the official initiative, but external proposals are not being accepted. | Yes, users can register accounts and upload data | Yes, see section 9 in the Appendix of the LONI Policies & Procedures
| Yes, https://www.birncommunity.org/about/contact/
| Yes, through Lung Cancer Alliance. Learn more here
| Yes, new data may be added as part of future Optical Society of America publications are released. | Yes, users can register accounts and upload data. | Yes, learn more here
| No | Yes, FITBIR has established a two-tiered submission strategy to ensure high quality and to provide maximum benefit to investigators. See the Data Submission Procedures for more information. | Yes. Community-generated data sets may be suggested for inclusion. Contact moderator@nitrc.org. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Central curation/review | Yes, a multiple tiered de-identification and QC process is utilized involving both human review and systematic analysis. The process is summarized in detail on the TCIA De-Identification Knowledge Base and What to Expect as an Image Provider
| No | Yes, performed by NIAMS staff. | No | Collaborators strip all personal info from data prior to submission to LONI. Then LONI auto filters again, to ensure that there are no PHI in the files (especially if the data is binary) and stores the data in quarantine, until it’s approved for posting to the web interface. | PHI must be removed by the submitting institution prior to giving the data to the FBIRN. FBIRN also performs a review to make sure there aren't any de-identification problems. | Yes, performed by Lung Cancer Alliance | Yes, performed by the Optical Society of America | Yes, some QC performed by Kitware staff and peer reviews. Most data is de-identified by the submitter prior to upload. | Sites do their own de-identification any way they prefer, so long as it meets their IRB's approval. Pre-validation is performed to ensure all data conforms/harmonizes to the autism data dictionary. QA is also performed by NDAR staff to check for identifiable information. | Archived project, no longer receiving new data. | Yes, pre-validation is performed to ensure all data conforms to the NINDS CDEs. QA is also performed by staff to check for personal identifiable information. | Yes, performed by NITRC. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Availability/Uptime | ~99%, hosted on a redundant production system at WUSTL | ~99%, hosted on a redundant production system at NCI CBIIT | ~99%, hosted on a redundant production system at NCI CBIIT | ~99% | Continuous (no exact % specified) | Continuous (no exact % specified) | ~99.9%, hosted on a production server at Kitware | ~99.9%, hosted on a production server at OSA | ~99%, hosted on a production server at Kitware | ~99%, imaging data hosted on Amazon and metadata hosted by NIH. | ~99%, hosted by NIH. | ~99%, hosted by NIH. | ~99.9%, hosted on production servers at UCSD. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Project- or Collection- based groupings? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Size of Current Volume |
NLST-LSS: 6.5 TB NLST-ACRIN: 4.8 TB
Total: 13.56 TB | ~21GB | ~7.5TB | 1 TB | 0.7 PB | ~2TB | 33GB | ~50GB | ~60GB | ~2TB | ~2TB | 0.5TB | 1.5 TB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Number of patients/subjects with imaging |
NLST-LSS: 17,043 NLST-ACRIN: 9,211
Total: 32,251 | 32 | 4,796 | 3,494 | > 120,000 | ~300 | 37 | N/A | > 200, plus some non-patient data | 2500 NDAR
| 550 (migrated into NDAR) | 200 | 6854 subjects | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Number of DICOM Tags query-able | 2 via the Simple Search, ~90 via the Advanced Search, and all DICOM metadata can be queried using the Text Search option. | 2 via the Simple Search, ~90 via the Advanced Search, and all DICOM metadata can be queried using the Text Search option. | ~90 | ~50 | 50 | 0 | 22 (imaging parameters in query interface) | N/A | 22 (imaging parameters in query interface) | 9, with full listing from data dictionary. (4 NDAR, 5 Pediatric MRI) | 9, with full listing from data dictionary. (4 NDAR, 5 Pediatric MRI) | 10 | N/A | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Metadata Availability | Wide variety of clinical, genetic, and image segmentation/annotation available is available for various data sets. Full summary can be viewed here
| None | None | Various clinical and other metadata | Biospecimen, clinical, pathological, neuropsychiatric, and demographic. | Yes, extensive behavioral data and clinical data. | Some unstructured clinical data such as patient age, cancer stage, recurrence, and treatment information. | Associated articles, figures, publication-specific metadata, etc | Unstructured clinical data as well as publication-specific metadata | NDAR contains all human subjects data related to autism research funded by the NIH and others. Outside of the NDAR data dictionary, Metadata supporting project definition and research results are provided (see data from papers).
| Yes, all metadata is collected using NINDS CDEs | Gender, age, handedness, diagnosis, and MR acquisition parameters. Various cognitive assessments and other rich metadata available for some data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data submission/download methods | Submission via DICOM or HTTPS protocols using CTP
| Submission via DICOM or HTTPS protocols using CTP
| Submission via DICOM or HTTPS protocols using CTP
| Submission via Web UI or DICOM protocol. Download via Web (zip) or Java applet. | Secure web upload | Downloads via Web UI, Submissions via https://www.birncommunity.org/about/contact/
| Submission via Web UI, | Submission via Web UI, | Submission via Web UI, DICOM push, MIDASDesktop.
| A custom Java Webstart application allows SFTP/Amazon S3 transfers. MIPAV is offered as an optional method for de-identification. Submission is harmonized to the autism data standard using custom data validation software. Download methods include multithreaded download from the Amazon Cloud or push to cloud computational pipeline. | Not applicable. | They can use MIPAV for submitting images. Submissions must conform to FITBIR Data Dictionary (NINDS CDEs). A custom Java Webstart application allows SFTP transfers. | Upload by arrangement. Download via Web (zip), Java applet, or REST API. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Helpdesk Support | Yes, the TCIA Helpdesk
| Via XNAT discussion group | Yes, via https://www.birncommunity.org/about/contact/
| Technical issues can be sent to midas@public.kitware.com or click here for Administrative support and other questions
| Contact infobase@osa.org. | Contact midas@public.kitware.com | Yes, available at ndarhelp@mail.nih.gov. | Yes, pedsmri@mail.nih.gov. | Yes, FITBIR-help@mail.nih.gov | Contact moderator@nitrc.org. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Affiliation with Journal | Not directly, but Digital Object Identifiers can be provided for integration with publications. TCIA is also a recommended repository for Nature's Scientific Data journal. | No | No | No |
| No | No | Yes, Optics Info Base
| Yes, Insight Journal
| No | No | No | No | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Intended Audience(s) | Cancer researchers, engineers and developers, professors | Anyone interested in testing the functionality of the NBIA software. | Osteoarthritis researchers | All imaging research | Neuroimaging and genetics research | Neuroimaging research | Lung cancer researchers | Optical Society of America subscribers | All imaging research | Autism researchers (clinical/phenotype/genomic), both those receiving autism related NIH grants and other investigators sponsored by an NIH recognized institution with a current federal-wide assurance. | Neuroscientists interested in normative brain study of child development. | TBI researchers | Neuroimaging research |
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Image archive software solutions
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.
Software Name and Web Site |
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Interface/GUI | Web | Web | Web/Desktop Application | ||||||||||||||||
Query types/flexibility | Simple (9 parameters), Advanced (10 more parameters), Dynamic (boolean query of up to 90 DICOM tags) | Extensible set of DICOM tags as well as linked quantitative biomarkers, linked clinical data, and other non-imaging data. | Customizable, search by any tags registered in the system | ||||||||||||||||
Role Based Security | Yes | Yes | Yes | ||||||||||||||||
Public access option (no login req) | Yes | Yes | Yes | ||||||||||||||||
Active Development | Yes, NCI CBIIT | Yes, WUSTL Neuroinformatics Research Group | Yes, Kitware | ||||||||||||||||
License | Open source - NBIA License Agreement Details | Non-restrictive (BSD) open-source license - XNAT License Agreement Details
| non-restrictive (BSD) open-source license | ||||||||||||||||
API available | Yes, REST | Yes, REST | Yes, REST, OAI-PMH | ||||||||||||||||
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 | ||||||||||||||||
Supported metadata formats | XML, Zip | XML, CSV. Custom data import logic can be implemented via pluggable Groovy and Python scripts. | XML | ||||||||||||||||
Transfer protocols (import/export) | DICOM, HTTPS | DICOM, HTTPS | DICOM, HTTPS | ||||||||||||||||
Controlled Vocabulary | Follows caBIG standards (caDSR/EVS) | XNAT Schema | NIH Mesh and Dublin Core | ||||||||||||||||
Deployment Support | Yes, CBIIT Application Support or via NBIA User Listserv | XNAT Google Discussion group, monthly developer tcons, biannual user conference. Commercial technical support provided by Radiologics. | Yes, MIDAS mailing list | ||||||||||||||||
Support Operating Systems | Linux, Windows, Mac | Linux, Windows, Mac | Linux, Windows, Mac | ||||||||||||||||
Data submission options | Submission to NBIA is performed by a java tool called CTP
| Direct upload is available through the web UI, direct DICOM transfer, scripts using REST API, optimized CTP workflow | Direct upload via web UI, direct DICOM transfer via push, MIDASDesktop transfer (includes command line tools), WebDAV support. | ||||||||||||||||
Standard of De-Identification | Incorporates 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
| No, but pre-storage filters can be run automatically | ||||||||||||||||
Support for multi-site submissions | Yes | Yes | Yes |
| Include Page | ||||
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Archive Software
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NBIA
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Supported Operating Systems
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Linux, Mac?, Windows?
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Active development Team/Community
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Yes
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Central curation/review
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Yes
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Explicit data sharing policy (link)
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Yes
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Availability/Uptime
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99%?
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Submission Technology
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CTP
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Standard of De-Identification
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Supplement 142 w/ Keep Description, Retain Device Info options enabled
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Support for multi-site submissions
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Yes
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Project- or collection- based groupings?
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Size of Current Volume
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~3TB
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None
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Federated implementation
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Yes
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Public API
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Yes
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number of DICOM Tags query-able
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~90?
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DICOM transfer protocol
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For submission, but not download
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methods to download DICOM data
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Web, FTP, Java Webstart client
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Affiliation with Journal
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ISP
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
- 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
- Contains data on nearly 5,000 osteoarthritis patients as of August 2010
- Modalities include MRI and CR
- CIP/CBIIT
LONI
LONI homepage: http://www.loni.ucla.edu/
Image Data Archive - http://www.loni.ucla.edu/Research/Databases/
- Uses LONI Image Data Archive, not sure if this can be deployed and hosted elsewhere for other archives if desired. Did not immediately notice any place to download the code.
- Requires secure login, has role based access to various Projects in their archive.
- Allows search based on project (prior to the simple query page) via Simple or Advanced query. Simple query contains subject ID, modality, research group, series description, weighting, sex, age, slice thickness, and acquisition plane. Advanced query offers a wide variety of 27 different search criteria pertaining to the patient, project, clinical info, study info, and image attributes. (Note: advanced query only seems to be an option with ADNI data set)
- Viewing images in the web site launches "LONI Image Viewer", a java based viewer which lets you scan through image slices in axial/sagittal/coronal orientations as well as zoom, pan, flip (horizontal/vertical) and adjust brightness and contrast.
- Can add specific series/studies to custom collections, collections can then be downloaded or shared. Download can be in native DICOM format or in NiFTI/ANALYZE/MINC formats? I've heard of NiFTI, not sure what the other options are. Download is managed through a java applet, came with images and a couple XML files containing some patient and equipment metadata.
- Data collections include:
- Alzheimer's Disease Neuroimaging Initiative (ADNI) - Consists of both image data (MRI and PET), image meta-data, and additional clinical/genetic/numeric summary data for 895 patients
- BRIN - Logged in with my "ADNI (GUEST)" access this Project only appeared to have one 3 year old patient, no description of this data set is on the "Available Data" page
- Cryosection Imaging (CRYO) - 3 patients, histology modality
- Public Anonymized Dataset (PAD) - 3 "normal control" patients, MRI modality
- International Consortium for Brain Mapping (ICBM) - 851 "normal control" patients, modalities including MRI, fMRI, MRA, DTI, and PET. I do not have access to this data set currently so did not review its contents.
- Australian Imaging Biomarkers & Lifestyle Flagship Study of Ageing (AIBL) - 285 patients including controls, MCI, and AD subject groups. Modalities include MRI and PET. I do not have access to this data set currently so did not review its contents.
BIRN
BIRN data portal: http://www.birncommunity.org/resources/data/
BIRN is connected with multiple institutions which host multiple archives using different software and containing different data sets.
- Function BIRN Data Repository - http://fbirnbdr.nbirn.net:8080/BDR/
- Contains 5 data sets according to the BIRN data page (but it's actually 4).
- On the home page it displays a description of each data set and then presents pre-packaged data files in a drill down tree style menu which lists what appears to be individual patients in some cases, individual image studies in others.
- Querying across the data is possible using meta data. It does not appear query against DICOM tags is possible.
- The site itself seems to be a custom web site, not something that could be easily used for other archives.
- Downloads happen in the browser. You choose what you want to download, it is processed on the server and there is an alert that notifies you when your "job" is ready for download. Testing a 100mb patient download I was notified pretty quickly that my job was done, but getting the job page to load took about a minute before I was presented with a small table of information and buttons to actually download the file. Pressing the download button resulted in saving a .TAR file to my computer. TAR structure contained many subdirectories sorted by study then series and so on. Images contained DCM file extension and there were also a couple XML files included with some meta-data.
- The data sets include the following (but the last one is not yet posted, may never be since this was done in 2007):
- BrainScape Resting State fMRI Dataset 1 - This dataset includes seventeen healthy subjects with four resting state fixation scans plus one T1 scan and one T2 scan.
- BrainScape Resting State fMRI Dataset 2 - This dataset includes ten healthy subjects scanned 3 times with 3 conditions: eyes open, eyes closed, and fixating in addition to two anatomical scans (T1 and T2).
- Neuroimaging Calibration Study (Phase II) - The FBIRN multi-site dataset of subjects with schizophrenia and controls includes functional MRI images, behavioral data, demographic, and clinical assessments on 253 subjects from around the US.
- Traveling subjects study (Phase I) - This dataset includes five healthy subjects imaged twice at each of ten FBIRN MRI scanners on successive days.
- NIRL Imaging Database - http://nirlarc.duhs.duke.edu/nirle/
- Uses XNAT for the archive software (unsure what version or if any major customizations were made)
- Contains both image data and meta-data
- Includes the following data sets:
- Efficient Longitudinal Upload of Depression in the Elderly (ELUDE) - The ELUDE dataset is a longitudinal study of late-life depression at Duke University. There are 281 depressed subjects and 154 controls included (435 total patients). An MR scan of each subject was obtained every 2 years for up to 8 years (total of 1093 scans). Clinical assessments occurred more frequently and consists of a battery of psychiatric tests including several depression-specific tests.
- Multisite Imaging Research In the Analysis of Depression (MIRIAD) - A multiple institution study of structural MRI, including raw PD and T2 MRIs and derived measures of white matter changes, basal ganglia and other regions. Demographic and extensive clinical assessment data is available for each case. (100 patients)
- Central XNAT- http://central.xnat.org/
- As of Aug 10, 2010 the site contains 169 projects, 2567 patients. However the quality and access of these appears to vary greatly, ranging from well curated data sets to pure garbage sets that were made by people testing how Central XNAT works.
- A subset of the collections mentioned on the BIRN data web page (http://www.birncommunity.org/resources/data/) are hosted here including the following:
- mBIRN Calib - http://central.xnat.org/app/template/XDATScreen_report_xnat_projectData.vm/search_element/xnat:projectData/search_field/xnat:projectData.ID/search_value/Calib
- This data set consists of spoiled gradient-recalled echo magnetic resonance imaging data from 5 healthy volunteers (four males and one female) scanned twice at four sites having 1.5T systems from different vendors (Siemens, GE, Marconi Medical Systems).
- OASIS - http://central.xnat.org/app/template/XDATScreen_report_xnat_projectData.vm/search_element/xnat:projectData/search_field/xnat:projectData.ID/search_value/CENTRAL_OASIS_CS
- This set consists of a cross-sectional collection of 416 human subjects aged 18 to 96, including individuals with Alzheimer's disease; T1-weighted MRI scans obtained in single scan sessions are included. Additionally, a reliability data set is included containing 20 nondemented subjects imaged on a subsequent visit within 90 days of their initial session.
- mBIRN Calib - http://central.xnat.org/app/template/XDATScreen_report_xnat_projectData.vm/search_element/xnat:projectData/search_field/xnat:projectData.ID/search_value/Calib
NAMIC
NAMIC Image Gallery: http://www.na-mic.org/publications/gallery
Lung Cancer Alliance: Give A Scan
NDAR
http://ndar.nih.gov/ndarpublicweb/aboutNDAR.go
Pediatric MRI Data Repository
https://nihpd.crbs.ucsd.edu/nihpd/info/data_access.html
NIH Image Bank
http://media.nih.gov/imagebank/index.aspx
EORTC
http://www.eortc.be/services/forms/erp/default.aspx
EORTC TUMOR BANK (pathology)
MIDAS
http://midas.osa.org/midaspub/\\
Image archive software solutions
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NBIA
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XNAT
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NIST
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OpenPacs
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DCM4CHEE
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Interface/GUI
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Web
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Web
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Query flexibility
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Role Based Security
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Yes
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Public access option
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Yes
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Active Development
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Supports Federated Implementation
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Yes
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API available
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Supported image formats
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Supported metadata formats
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Helpdesk support
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Transfer protocols (import/export)
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Controlled Vocabulary
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Deployment Support
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NBIA
https://gforge.nci.nih.gov/frs/?group_id=312
Xnat
http://www.xnat.org/
http://www.xnat.org/2010+XNAT+Workshop+Agenda
OpenPacs
http://www.mii.ucla.edu/index.php/MainSite:OpenSourcePacsDocumentationImageServer
DCM4CHEE
http://www.dcm4che.org/confluence/display/ee2/Home