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titleAt a Glance Details
  • Version Number and Release Date: 5.0.2 April 25, 2011
  • Primary audience: Investigators and Researchers
  • Grid Enabled? Yes
  • Compatibility Level: Not yet determined
  • Installation Level: Intermediate - technical assistance may be required, download may require supporting infrastructure or software
  • System Requirements: Provides Web-based access to deidentified DICOM images, markups, and annotations using role based security. The NBIA download package is a ZIP package that includes the NBIA application, supporting libraries, the RSNA Clinical Trial Processor (CTP) submission client/server (with NBIA modifications), and associated documentation.

Tool Overview

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{multi-excerpt:name=NBIA}The National Biomedical Imaging Archive (NBIA) is a free and open source service and software application that enables users to securely store, search, and download diagnostic medical images. Along with the Clinical Trial Processor software from the Radiological Society of North America, it supports customized de-identification of images. NBIA is able to integrate with other caBIG® applications to cull various data types, such as image annotations, clinical data, genomic data, and other research files, such as RT objects. It can also federate with other instances of NBIA to support the response of multiple NBIA servers to a single query. CBIIT¹s hosted instance of NBIA is freely available and provides researchers and clinicians with 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 node of NBIA and, using caGrid infrastructure, securely share data across the grid.{multi-excerpt}

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The 
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 ultimate 
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 goals 
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 of 
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 the 
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 project 
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 include:
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  1. Creation 
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  1.  of 
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  1.  an 
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  1.  imaging 
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  1.  informatics 
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  1.  infrastructure 
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  1.  that 
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  1.  provides 
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  1.  cost-effective 
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  1.  support 
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  1.  for 
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  1.  purpose-built 
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  1.  and 
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  1.  other 
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  1.  databases 
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  1.  as 
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  1.  necessary, 
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  1.  precluding 
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  1.  the 
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  1.  need 
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  1.  to 
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  1.  create 
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  1.  separate 
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  1.  infrastructure 
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  1.  for 
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  1.  each 
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  1.  database;
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  2. Development 
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  1.  of 
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  1.  searchable 
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  1.  imaging 
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  1.  reference 
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  1.  libraries 
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  1.  linked 
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  1.  to 
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  1.  clinical 
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  1.  outcomes 
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  1.  data 
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  1.  to 
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  1.  assist 
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  1.  researchers 
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  1.  and 
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  1.  practitioners;
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  2. Availability 
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  1.  of 
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  1.  the 
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  1.  archive 
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  1.  for 
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  1.  mining 
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  1.  and 
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  1.  integration 
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  1.  by 
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  1.  the 
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  1.  broader 
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  1.  research 
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  1.  and 
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  1.  clinical 
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  1.  community; 
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  1.  and
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  2. Robust 
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  1.  support 
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  1.  for 
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  1.  data-driven 
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  1.  decision 
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  1.  making 
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  1.  in 
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  1.  oncology 
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  1.  and 
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  1.  medical 
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  1.  practice 
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  1.  in 
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  1.  general 
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  1.  by 
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  1.  clinicians 
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  1.  throughout 
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  1.  the 
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  1.  world.
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A 
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 Web-based 
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 visualization 
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 and 
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 annotation 
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 tool, 
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 I-Response, 
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 is 
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 available 
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 to 
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 users 
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 of 
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 the 
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 NCI 
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 NBIA 
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 instance. 
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 I-Response 
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 provides 
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 immediate 
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 on-screen 
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 visualization 
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 of 
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 DICOM 
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 images 
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 integrated 
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 with 
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 NBIA 
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 query 
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 results 
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 and 
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 soon 
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 will 
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 support 
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 persistence 
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 of 
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 annotations 
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 from 
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 client 
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 to 
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 NBIA 
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 archive.
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Installation 
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 and 
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 Downloads
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Forum and Support
Support
Defects and Feature Requests
Open Source Development
Contact Application Support for information about open source development and NBIA.
Presentations, Demos and Other Materials
  • NBIA Demonstration – 20-minute audio over slides and screencast (turn speakers on). If the slides appear to "freeze" during playback, press pause and then play to realign the playback stream.
  • Weekly Status Reports - Status reports of the operations and maintenance NBIA presented at our weekly meetings
  • Download Demo Slides – download of the Power Point slides for this demonstration.
  • DICOM Image Viewers
  • ImageJ 
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  • FusionViewer 
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  • OsirixViewer 
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  • ClearCanvas 
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  • Slicer
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Documentation and Training
Integration with Other Tools
caIntegrator2 can query for imaging data in an instance of NBIA via a Java API. Once a group of patients is selected, you can access NBIA to review the patients images and associated metadata, and download the DICOM data as needed.