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Section
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titleContents of this Page
Table of Contents
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titleAt-a-Glance Details
  • Current Release of NBIA: 7.1 GA, January 2020, release notes, release announcement
    Link in New Window
    linkTextNBIA 7.1 Community Version Release Notes
    tipNBIA 7.1 Community Version Release Notes
    hrefhttps://wiki.nci.nih.gov/display/NBIA/NBIA+7.X+GA+Community+Version+Release+Notes#NBIA7.XGACommunityVersionReleaseNotes-NBIA7.1CommunityVersionReleaseNotes
    ,
    Link in New Window
    linkTextNBIA 7.1 GA Community Version Release Announcement
    tipNBIA 7.1 GA Community Version Release Announcement
    hrefNBIA 7.1 GA Community Version Release Announcement
  • Current Release of NBIA Data Retriever: 3.5, January 2020
  • Primary audience: Investigators and Researchers
  • Installation Level: Intermediate - technical assistance may be required; download may require supporting infrastructure or software.
  • System Requirements: Provides web-based access to de-identified DICOM images, markups, and annotations using role-based security. The NBIA download package is a ZIP package that includes the NBIA application, supporting libraries, RSNA Clinical Trial Processor (CTP) submission client/server (with NBIA modifications), and associated documentation.

Include Page
wikicontent:Included Page of CBIIT and NCIP Links
wikicontent:Included Page of CBIIT and NCIP Links

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Along with the Clinical Trial Processor software from the Radiological Society of North America, NBIA supports customized de-identification of images. NBIA is able to integrate with other applications through a set of APIs. For more information, see the 

Link in New Window
linkTextNBIA REST API User Guide
tipNBIA REST API User Guide
hrefNBIA REST API User Guide
, 
Link in New Window
linkTextNBIA DICOM API User Guide
tipNBIA DICOM API User Guide
hrefNBIA DICOM API User Guide
, and 
Link in New Window
linkTextNBIA WADO API User Guide
tipNBIA WADO API User Guide
hrefNBIA WADO API User Guide
. 

NCI's hosted instance of NBIA provides researchers and clinicians with a demonstration of a robust DICOM archive that can securely share and access images to enhance scientific research and support clinical decision making. Anyone can deploy a local instance of NBIA, which you can customize to your organization's branding.

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