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The following table is a list of publicly accessible DICOM based biomedical image archives. Following the table is an analysis of what was found upon reviewing each archive between August and October of 2010.

  

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

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

Content Type
 

In Vivo Cancer Imaging (see full Collection list)

In Vivo Cancer Imaging

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

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

 

 

 

 

 



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 /CIP 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

  ~230GB

~3TB ~2TB ~6TB

~7.5TB

 

 

 

 

~2GB

~50GB


~60GB

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



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.The Cancer Imaging Archive (TCIA)
      • 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
    • 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 2010consisting 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 August 2010July 2011
      • Modalities include MRI and CR

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