NIH | National Cancer Institute | NCI Wiki  

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

 

The Cancer Imaging Archive (TCIA)

NBIA

NIAMS

XNAT Central

Image Data Archive

Function BIRN Data Repository

NIRL Imaging Database

Give A Scan

Optical Society of America (OSA)

Pediatric MRI Data Repository

Insight Journal

National Database for Autism Research (NDAR)

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),
CRYO (histology),
ICBM (Brain mapping),
AIBL (Autralian Aging)

Brain scans

ELUDE (Elderly Depression),
MIRIAD (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

NBIA

NBIA

NBIA

XNAT

Image Data Archive

custom

XNAT

MIDAS

MIDAS

custom

MIDAS

 

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

 

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

 

 

 

 

 

 

 

 

Number of Registered Users (or NA)

764 1255

 

 

 

 

 

 

 

 

 

 

 

Accepting new data

Yes (learn more)

Yes, with approval from NCI CBIIT/CIP

 

Yes, users can register accounts and upload data

 

 

 

Yes, through Lung Cancer Alliance

Yes, through the Optical Society of America

 

Yes, users can register accounts and upload data

 

Central curation/review

Yes, a trained staff visually inspects every image before making them visible

Yes, performed by CBIIT staff

 

No

 

 

 

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 WUSTL

~99%, hosted on a redundant production system at NCI CBIIT

 

 

 

 

 

~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

 

Project- or Collection- based groupings?

Yes

Yes

Yes

Yes

 

 

Yes

Yes

Yes

 

Yes

 

Size of Current Volume

7.3T

~2TB

~7.5TB

 

 

 

 

~2GB

~50GB

 

~60GB

 

Number of cases patients/subjects with imaging

~30,000

 

 

 

 

 

 

 

 

 

 

200

number of DICOM Tags query-able

~90

~90

~90

 

 

 

 

 

 

 

 

 

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.

 

 

 

Submission via Web UI,
Download via Web (zip).

Submission via Web UI,
Download via Web (zip).

 

Submission via Web UI, DICOM push, MIDASDesktop, WebDAV.
Download via Web (zip), MIDASDesktop or WebDAV

 

Helpdesk Support

Yes, the TCIA Helpesk supports both end users and submitters

Yes, CBIIT Application Support

Yes, CBIIT Application Support

 

 

 

 

 

 

 

 

 

Affiliation with Journal

No

No

No

No

 

 

 

 

Yes

 

 

 

Intended Audience(s)

Cancer researchers, engineers and developers, professors

 

 

 

 

 

 

 

 

 

 

 

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

...

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.

 

NBIA

XNAT

MIDAS

 

 

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 Open source -

XNAT License 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, ?RESTFUL web services? 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, DICOM

 

 

 

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, Windows

Linux, Windows, Mac

Linux, Windows, Mac

 

 

 

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.

 

 

 

Standard of De-Identification

Incorporates S142 standards via CTP profiles No, but scripts based on standards could be written for DICOM Browser if desired 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

 

 

 

NBIA

https://gforge.nci.nih.gov/frs/?group_id=312

...