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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:
- Lesion detection and classification
- Accelerated diagnostic imaging decision
- Quantitative imaging assessment of drug response
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.
- 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
Publicly Hosted Biomedical Imaging Archives
The following table attempts to summarize publicly accessible DICOM based biomedical image archives. This survey originally initiated in August of 2010. Information in the tables are being updated periodically. Please notify kirbyju@mail.nih.gov or freymanj@mail.nih.gov to report errors, additions, etc.
| Pediatric MRI Data Repository | NITRC | FITBIR | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | Kitware | NIH, NIMH, NINDS, NICHD, NIEHS | NIH, NIMH, NICHD, NIDA, NINDS | ||
Content Type | In Vivo Cancer Imaging, phantom imaging and related metada (see full Collection list) | In Vivo Cancer Imaging (see full collection list) | Osteoarthritis | Biomedical images, meta data, other phenotypic data (bevhioral, clinical, etc) | ADNI (Alzheimers), | Brain scans | ELUDE (Elderly Depression), | Patient-contributed Medical scans | Optical | Biomedical images and meta data | Autism - standard phenotypic data, imaging and genomic/pedigree data related to human subjects | Normal brain development
| ||
Archive Software | NBIA, AIM Data Service (XML image metadata), and a Clinical Data relational database | Image Data Archive | custom | custom | NDAR | |||||||||
Login account required | Yes. Accounts are free and available to anyone. Click here to register. | For advanced site features or limited access data sets, but is not required for accessing public data. Click here to register. | Yes. Click here to register. | 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 | For accessing limited access data sets, but not for public data | Yes | Yes | ||
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, data is made public or restricted as specified by the user who uploads it. |
|
|
| All data is made publicly accessible. |
|
| Yes, found here | Similar to NDAR but there is no explicit policy | ||
Number of Registered Users (or NA) | 2,333 | 2,712 |
| ~1,000 |
|
|
| N/A |
|
| 60 for data access | ~30 | ||
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. | Yes, with approval from NCI CBIIT | 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 |
|
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| Yes, through Lung Cancer Alliance. Learn more here. | Yes, through the Optical Society of America | Yes, users can register accounts and upload data | Yes, learn more here | No | ||
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. | Yes, performed by CBIIT staff | Yes, performed by NIAMS 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 | Yes, 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. | ||
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% |
|
|
| ~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 | ~99%, imaging data hosted on Amazon and metadata hosted by NIH. | ~99%, hosted by NIH. | ||
Project- or Collection- based groupings? | Yes | Yes | Yes | Yes |
|
| Yes | Yes | Yes | Yes | Yes | No | ||
Size of Current Volume | TCIA: 1.8 TB | ~2TB | ~7.5TB | 1 TB |
|
|
| 33GB | ~50GB | ~60GB | ~2TB | ~2TB | ||
Number of patients/subjects with imaging | TCIA: 3,685 | 4,920 | 4,796 | 3,494 |
|
|
| 37 |
|
| 2500 NDAR
| 550 (migrated into NDAR) | ||
Number of DICOM Tags query-able | ~90 via NBIA | ~90 | ~90 | ~50 |
|
|
| 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) | ||
| Metadata Availability | Wide variety of clinical, genetic, and image segmentation/annotation available is available for various data sets. Full summary can be viewed here in the "Supporting Data Available" column. | Some limited metadata available for specific collections. | None | Various clinical and other metadata | Some unstructured clinical data such as patient age, cancer stage, recurrence, and treatment information. | |||||||||
Data submission/download methods | Submission via DICOM or HTTPS protocols using CTP. Download via Java Webstart client. A REST API is in development with an expected public release in the summer of 2013. | Submission via DICOM or HTTPS protocols using CTP. Download via Web (zip), FTP, Java Webstart client | Submission via DICOM or HTTPS protocols using CTP. 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. | Sites do their own de-identification any way they prefer, so long as it meets their IRB's approval. They can optionally use MIPAV for this part of the process. Submissions must conform to NDAR Data Dictionary. A custom Java Webstart application allows SFTP transfers. | Not applicable. | ||
Helpdesk Support | Yes, the TCIA Helpdesk supports both end users and submitters. They provide phone and email support during regular business hours Mon-Fri. | Via XNAT discussion group |
|
|
| No official helpdesk info found on the site. Some email support may be available. |
|
| Yes, available at ndarhelp@mail.nih.gov. | Yes, pedsmri@mail.nih.gov. | ||||
Affiliation with Journal | No | No | No | No |
|
|
| No | Yes |
| No | No | ||
Intended Audience(s) | Cancer researchers, engineers and developers, professors | Cancer researchers and anyone interested in testing the functionality of the NBIA software. | Osteoarthritis researchers | All imaging research |
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| Lung cancer researchers |
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| 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. |
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 | |||
|---|---|---|---|
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) | 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 |
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 |
Supports Federated Implementation | Yes, can discover other nodes on the caGrid | Not currently, but there are plans to add this functionality eventually | No |
API available | Yes, caGrid | 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 | 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 | 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 developed by John Perry at the RSNA. CTP has options to import data from a hard drive or directly from a PACS or DICOM Workstation. | Direct upload is available through the web UI, direct DICOM transfer, scripts using REST API. | 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 can be configured to comply with DICOM PS 3.15: Appendix E and other standards. | No, but pre-storage filters can be run automatically |
Support for multi-site submissions | Yes | Yes | Yes |
