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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)

CIP/CBIIT NBIA

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 (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




Archive Software

[NBIA{+}

#sw]+ | NBIA | NBIA | XNAT | 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

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 | | | | | |
|
|
|

No

 

 

 

 

 






Accepting new data
| Yes (learn more

) | Yes, with 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 | | | | /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 | | | | | | 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 |
|

Yes

 

 

Yes

Yes

Yes


Yes




Size of Current Volume
| |

~3TB | ~6TB | | | | | ~2GB | ~50GB |
| ~60GB
|
|

~6TB

 

 

 

 

~2GB

~50GB


~60GB




number of DICOM Tags query-able
|

~90 | ~90 | ~90 | | | | | | |
|
|
|

~90

 

 

 

 

 

 






Data submission/download methods |

Submission via DICOM or HTTPS protocols using [CTPhttp://mircwiki.rsna.org/index.php?title=CTP-The_RSNA_Clinical_Trial_Processor]. Download via Java Webstart client | Submission via DICOM or HTTPS protocols using CTP. Download via Web 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 |
|
|
h3.

 

 

 

 

 

 

 

 

 

 

 

Affiliation with Journal

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

...

https://wiki.cancerimagingarchive.net/display/Public/Collections])

...

  • (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

...

...

      • Contains data on nearly 5,000 osteoarthritis patients as of

...

      • August 2010
      • Modalities include MRI and CR

LONI

LONI homepage: http://www.loni.ucla.edu/

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