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Introduction
The 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 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 model. 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.
Features in the AIM 4.0 Toolkit
The Annotation and Image Markup (AIM) information model version 4.0 has evolved in response to the feedback and changing requirements from the imaging community. The model has become more flexible and expressive. It defines AIM statements that describe a finding found on an image or series of images. These statements represent a relationship between the subject and object entities in the AIM foundation model. A class name that ends with “entity” can be used to create an AIM statement.
...
- Fully supports the ISO 21090 data type
- Collects a question as a coded term for an annotation role entity, imaging physical entity (formerly known as anatomic entity), imaging physical entity characteristic, imaging observation entity, imaging observation entity characteristic, inference entity, calculation entity, task context entity, text annotation entity, DICOM segmentation entity, markup entity, URI image reference entity, or DICOM image reference entity
- Explicitly captures relationships between entity classes in the AIM model via an AIM statement
- Has the ability to store a three-dimensional graphical markup
- Has the ability to store a lesion observation with or without a time point
- Allows the storage of calculation results in a compressed format
- Allows a workflow or task context assignment
- Allows more than one AIM instance in one AIM file or collection
- Supports post-coordinate terms (combines existing terms to create a new concept)
Logical Data Models for AIM 4.0 and AIM Foundation
The AIM Foundation Model Model is available.
The AIM 4.0 Radiology and Oncology Information Model is also available.
Features in the AIM 3.0.2 Toolkit
The release is composed of the following four folders: doc
, examples
, lib
and source
.
...
- 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 3.0.1 Toolkit
The AIM 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