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Introduction

The caBIG^® Annotation and Image Markup (AIM) project defines an information model and software tools to capture and create image annotations and markups using well-defined common data elements and controlled terminologies. The current release of the AIM version 3.0.2 model has an

The AIM Toolkit includes the AIM model, documentation, and examples. The AIM model has a corresponding AIM C++ library. The library is a reusable component that implements the AIM 3.0.2 information model. The AIM C++ library is part of the AIM C++ Toolkit, which also includes the model, documentation, and examples. The AIM model enhances interoperability and information exchange between imaging and health information systems. Annotations stored in a computable model such as AIM can be queried not only to find images containing similar image content but also to correlate human image observations with other biomedical data.

It addresses issues discovered after the initial release of AIM version 3.0 and adds Linux compatibility.

Features in the AIM

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3.0.2

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Toolkit

The release is composed of the following four folders: doc, examples, lib and source.

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• Added Linux (Ubuntu x86) make files.
• Modified code to build on Linux platform.
• Updated DCMTK to version 3.6.0 4. Update xerces-c to version 3.1.

Features in the AIM

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3.0.1

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Toolkit

The AIM Toolkit version 3.0.1 Toolkit changes are as follows:

• Added AIM Model Version property to the API (BaseModel class).
• Used AIM Model Version in the Series Description of new AIM DICOM objects.
• Fixed parsing of attribute values with namespaces.
• Updated source code and precompiled binaries to include the latest changes.

Support

If you need help, email Application Support.

Technical support requests may be sent to AIMTeam@northwestern.edu.

Documentation

• AIM on ClearCanvas Workstation Documentation
• AIM Template Service Documentation
• AIM Template Builder Documentation
• AIM Template Manager Documentation

Web Sites

• caBIG Tools Page for AIM