NIH | National Cancer Institute | NCI Wiki  

Error rendering macro 'rw-search'


You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 41 Next »

AIM is supported by the Imaging Knowledge Center at the University of Maryland School of Medicine.

For more information on receiving support for this tool, please visit the Imaging Knowledge Center.

Contents of this Page

Error formatting macro: include: java.lang.IllegalArgumentException: No link could be created for 'ImagingKC:Imaging Quick Links'.
Unknown macro: {align}

Follow Imaging KC on Twitter

Unknown macro: {multi-excerpt-include}

Twitter logo linked to VKC Twitter feed

About AIM

Unknown macro: {multi-excerpt}

AIM is the first project to propose and create a "standard" means of adding information and knowledge to an image in a clinical environment, in order to create a future in which image content can be easily and automatically searched. AIM provides a solution to the following current imaging challenges:

  • No agreed upon syntax for annotation and markup
  • No agreed upon semantics to describe annotations
  • No standard format (DICOM, XML, HL7, etc.) for annotations and markup

The solution is made up of various components, including the AIM Model, AIM Template Manager, and AIM Data Service. The AIM Model captures the descriptive information for an image, with user-generated graphical symbols placed on the image into a single common information source. The AIM Template Manager allows the user to generate a set of well-defined questions and answer choices to facilitate collecting the annotations and markup of an image in a XML document. The AIM Data Service then stores the XML documents in a database via caGrid.

[Return to the Contents of this Page]

At-a-Glance Details

caBIG® AIM Data Model and Toolkit

  • Current Version Number: 3.0
  • Release Date of Current Version: October 2010
  • Intended Audiences: Investigators/researchers/implementers, workstation vendors, clinicians interpreting and manipulating images
  • Primary Workspace: IMAG
  • Currently caGrid Enabled: Yes
  • caBIG® compatibility Level: Legacy
    Learn more about compatibility levels.

[Return to the Contents of this Page]

Technical Information

  • Tool Maturity Assessment: Mature Product (Successfully Adopted)
  • Architecture Level: Other or not applicable
  • Installation Level: Advanced; technical team required for installation

[Return to the Contents of this Page]

System Requirements

  • MS Windows 2000 or better, 512 MB RAM or better
    • Windows Operating Systems on Virtual Machines are currently being tested
  • MS Visual Studio 2005 (SP1)
  • Source code available. Binaries available for Windows.

[Return to the Contents of this Page]

Installation and Downloads

AIM Model

AIM Data Service

AIM on ClearCanvas® Workstation

AIM Template Builder

  • March 2012: 1.0.0 (current release)

AIM Template Manager

VMware Template

[Return to the Contents of this Page]

Forums and Support for AIM

[Return to the Contents of this Page]

Submit Defects and Feature Requests for AIM

[Return to the Contents of this Page]

Presentations, Demos and Other Materials

None listed at this time.

[Return to the Contents of this Page]

Documentation and Training

Access the caBIG® Learning Management System to learn about training programs, register for classes, track progress, and stay informed about training offerings. Explore the catalog to see what is available. You will need to create an account before registering for classes.

[Return to the Contents of this Page]

AIM Knowledge Base

The Imaging Knowledge Center is building the knowledge base for AIM. Coming soon will be answers to the most frequently asked questions, tutorials, supporting data, case studies, and scheduled training demonstrations.

[Return to the Contents of this Page]

Open Source Development

[Return to the Contents of this Page]

  • No labels