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 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.
The AIM Toolkit version 3.0.1 changes are as follows:
The release is composed of the following four folders: doc, examples, lib and source.
The doc folder includes AIM related document and XML schemas.
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The examples folder includes examples of DICOM images, AIM DICOM SR, AIM XML documents, and the ANIVATR tool, which converts between DICOM SR and XML document formats.
The lib folder contains binaries for AIM XML library and the ANIVATR tool.
The AIM Toolkit version 3.0.2 changes are as follows:
make files.xerces-c to version 3.1.If you need help, email Application Support.
Technical support requests may be sent to AIMTeam@northwestern.edu.